---
_id: '10166'
abstract:
- lang: eng
text: While sexual reproduction is widespread among many taxa, asexual lineages
have repeatedly evolved from sexual ancestors. Despite extensive research on the
evolution of sex, it is still unclear whether this switch represents a major transition
requiring major molecular reorganization, and how convergent the changes involved
are. In this study, we investigated the phylogenetic relationship and patterns
of gene expression of sexual and asexual lineages of Eurasian Artemia brine shrimp,
to assess how gene expression patterns are affected by the transition to asexuality.
We find only a few genes that are consistently associated with the evolution of
asexuality, suggesting that this shift may not require an extensive overhauling
of the meiotic machinery. While genes with sex-biased expression have high rates
of expression divergence within Eurasian Artemia, neither female- nor male-biased
genes appear to show unusual evolutionary patterns after sexuality is lost, contrary
to theoretical expectations.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We thank the Vicoso laboratory, Thomas Lenormand and Tanja Schwander
for helpful discussions, the group of Gonzalo Gajardo, especially Cristian Gallardo-Escárate
and Margarita Parraguez Donoso, for sequencing data and advice, and the IST Scientific
Computing Group for their support. This work was supported by the European Research
Council under the European Union's Horizon 2020 research and innovation program
(grant agreement no. 715257).
article_number: '20211720'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Ann K
full_name: Huylmans, Ann K
id: 4C0A3874-F248-11E8-B48F-1D18A9856A87
last_name: Huylmans
orcid: 0000-0001-8871-4961
- first_name: Ariana
full_name: Macon, Ariana
id: 2A0848E2-F248-11E8-B48F-1D18A9856A87
last_name: Macon
- first_name: Francisco
full_name: Hontoria, Francisco
last_name: Hontoria
- first_name: Beatriz
full_name: Vicoso, Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
citation:
ama: 'Huylmans AK, Macon A, Hontoria F, Vicoso B. Transitions to asexuality and
evolution of gene expression in Artemia brine shrimp. Proceedings of the Royal
Society B: Biological Sciences. 2021;288(1959). doi:10.1098/rspb.2021.1720'
apa: 'Huylmans, A. K., Macon, A., Hontoria, F., & Vicoso, B. (2021). Transitions
to asexuality and evolution of gene expression in Artemia brine shrimp. Proceedings
of the Royal Society B: Biological Sciences. The Royal Society. https://doi.org/10.1098/rspb.2021.1720'
chicago: 'Huylmans, Ann K, Ariana Macon, Francisco Hontoria, and Beatriz Vicoso.
“Transitions to Asexuality and Evolution of Gene Expression in Artemia Brine Shrimp.”
Proceedings of the Royal Society B: Biological Sciences. The Royal Society,
2021. https://doi.org/10.1098/rspb.2021.1720.'
ieee: 'A. K. Huylmans, A. Macon, F. Hontoria, and B. Vicoso, “Transitions to asexuality
and evolution of gene expression in Artemia brine shrimp,” Proceedings of the
Royal Society B: Biological Sciences, vol. 288, no. 1959. The Royal Society,
2021.'
ista: 'Huylmans AK, Macon A, Hontoria F, Vicoso B. 2021. Transitions to asexuality
and evolution of gene expression in Artemia brine shrimp. Proceedings of the Royal
Society B: Biological Sciences. 288(1959), 20211720.'
mla: 'Huylmans, Ann K., et al. “Transitions to Asexuality and Evolution of Gene
Expression in Artemia Brine Shrimp.” Proceedings of the Royal Society B: Biological
Sciences, vol. 288, no. 1959, 20211720, The Royal Society, 2021, doi:10.1098/rspb.2021.1720.'
short: 'A.K. Huylmans, A. Macon, F. Hontoria, B. Vicoso, Proceedings of the Royal
Society B: Biological Sciences 288 (2021).'
date_created: 2021-10-21T07:46:06Z
date_published: 2021-09-22T00:00:00Z
date_updated: 2024-02-21T12:40:29Z
day: '22'
ddc:
- '595'
department:
- _id: BeVi
doi: 10.1098/rspb.2021.1720
ec_funded: 1
external_id:
isi:
- '000697643700001'
pmid:
- '34547909'
file:
- access_level: open_access
checksum: 76e7f253b7040bca2ad76f82bd7c45c0
content_type: application/pdf
creator: cchlebak
date_created: 2021-10-22T11:48:02Z
date_updated: 2021-10-22T11:48:02Z
file_id: '10172'
file_name: 2021_ProRoSocBBioSci_Huylmans.pdf
file_size: 995806
relation: main_file
success: 1
file_date_updated: 2021-10-22T11:48:02Z
has_accepted_license: '1'
intvolume: ' 288'
isi: 1
issue: '1959'
keyword:
- asexual reproduction
- parthenogenesis
- sex-biased genes
- sexual conflict
- automixis
- crustaceans
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 250BDE62-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715257'
name: Prevalence and Influence of Sexual Antagonism on Genome Evolution
publication: 'Proceedings of the Royal Society B: Biological Sciences'
publication_identifier:
eissn:
- 1471-2954
issn:
- 0962-8452
publication_status: published
publisher: The Royal Society
quality_controlled: '1'
related_material:
link:
- relation: supplementary_material
url: https://doi.org/10.6084/m9.figshare.c.5615488.v1
record:
- id: '9949'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Transitions to asexuality and evolution of gene expression in Artemia brine
shrimp
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 288
year: '2021'
...
---
_id: '10167'
abstract:
- lang: eng
text: Schistosomes, the human parasites responsible for snail fever, are female-heterogametic.
Different parts of their ZW sex chromosomes have stopped recombining in distinct
lineages, creating “evolutionary strata” of various ages. Although the Z-chromosome
is well characterized at the genomic and molecular level, the W-chromosome has
remained largely unstudied from an evolutionary perspective, as only a few W-linked
genes have been detected outside of the model species Schistosoma mansoni. Here,
we characterize the gene content and evolution of the W-chromosomes of S. mansoni
and of the divergent species S. japonicum. We use a combined RNA/DNA k-mer based
pipeline to assemble around 100 candidate W-specific transcripts in each of the
species. About half of them map to known protein coding genes, the majority homologous
to S. mansoni Z-linked genes. We perform an extended analysis of the evolutionary
strata present in the two species (including characterizing a previously undetected
young stratum in S. japonicum) to infer patterns of sequence and expression evolution
of W-linked genes at different time points after recombination was lost. W-linked
genes show evidence of degeneration, including high rates of protein evolution
and reduced expression. Most are found in young lineage-specific strata, with
only a few high expression ancestral W-genes remaining, consistent with the progressive
erosion of nonrecombining regions. Among these, the splicing factor u2af2 stands
out as a promising candidate for primary sex determination, opening new avenues
for understanding the molecular basis of the reproductive biology of this group.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: The authors thank IT support at IST Austria for providing an optimal
environment for bioinformatic analyses. This work was supported by an Austrian Science
Foundation FWF grant (Project P28842) to B.V.
article_processing_charge: No
article_type: original
author:
- first_name: Marwan N
full_name: Elkrewi, Marwan N
id: 0B46FACA-A8E1-11E9-9BD3-79D1E5697425
last_name: Elkrewi
orcid: 0000-0002-5328-7231
- first_name: Mikhail A.
full_name: Moldovan, Mikhail A.
id: c8bb7f32-3315-11ec-b58b-e5950e6c14a0
last_name: Moldovan
orcid: 0000-0002-8876-6494
- first_name: Marion A L
full_name: Picard, Marion A L
id: 2C921A7A-F248-11E8-B48F-1D18A9856A87
last_name: Picard
orcid: 0000-0002-8101-2518
- first_name: Beatriz
full_name: Vicoso, Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
citation:
ama: Elkrewi MN, Moldovan MA, Picard MAL, Vicoso B. Schistosome W-Linked genes inform
temporal dynamics of sex chromosome evolution and suggest candidate for sex determination.
Molecular Biology and Evolution. 2021. doi:10.1093/molbev/msab178
apa: Elkrewi, M. N., Moldovan, M. A., Picard, M. A. L., & Vicoso, B. (2021).
Schistosome W-Linked genes inform temporal dynamics of sex chromosome evolution
and suggest candidate for sex determination. Molecular Biology and Evolution.
Oxford University Press . https://doi.org/10.1093/molbev/msab178
chicago: Elkrewi, Marwan N, Mikhail A. Moldovan, Marion A L Picard, and Beatriz
Vicoso. “Schistosome W-Linked Genes Inform Temporal Dynamics of Sex Chromosome
Evolution and Suggest Candidate for Sex Determination.” Molecular Biology and
Evolution. Oxford University Press , 2021. https://doi.org/10.1093/molbev/msab178.
ieee: M. N. Elkrewi, M. A. Moldovan, M. A. L. Picard, and B. Vicoso, “Schistosome
W-Linked genes inform temporal dynamics of sex chromosome evolution and suggest
candidate for sex determination,” Molecular Biology and Evolution. Oxford
University Press , 2021.
ista: Elkrewi MN, Moldovan MA, Picard MAL, Vicoso B. 2021. Schistosome W-Linked
genes inform temporal dynamics of sex chromosome evolution and suggest candidate
for sex determination. Molecular Biology and Evolution.
mla: Elkrewi, Marwan N., et al. “Schistosome W-Linked Genes Inform Temporal Dynamics
of Sex Chromosome Evolution and Suggest Candidate for Sex Determination.” Molecular
Biology and Evolution, Oxford University Press , 2021, doi:10.1093/molbev/msab178.
short: M.N. Elkrewi, M.A. Moldovan, M.A.L. Picard, B. Vicoso, Molecular Biology
and Evolution (2021).
date_created: 2021-10-21T07:49:12Z
date_published: 2021-06-19T00:00:00Z
date_updated: 2023-08-14T08:03:06Z
day: '19'
ddc:
- '610'
department:
- _id: BeVi
doi: 10.1093/molbev/msab178
external_id:
isi:
- '000741368600009'
pmid:
- '34146097'
file:
- access_level: open_access
checksum: 1b096702fb356d9c0eb88e1b3fcff5f8
content_type: application/pdf
creator: dernst
date_created: 2022-05-06T09:47:18Z
date_updated: 2022-05-06T09:47:18Z
file_id: '11352'
file_name: 2021_MolecularBiolEvolution_Elkrewi.pdf
file_size: 1008594
relation: main_file
success: 1
file_date_updated: 2022-05-06T09:47:18Z
has_accepted_license: '1'
isi: 1
keyword:
- sex chromosomes
- evolutionary strata
- W-linked gene
- sex determining gene
- schistosome parasites
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 250ED89C-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28842-B22
name: Sex chromosome evolution under male- and female- heterogamety
publication: Molecular Biology and Evolution
publication_identifier:
eissn:
- 1537-1719
issn:
- 0737-4038
publication_status: published
publisher: 'Oxford University Press '
quality_controlled: '1'
scopus_import: '1'
status: public
title: Schistosome W-Linked genes inform temporal dynamics of sex chromosome evolution
and suggest candidate for sex determination
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2021'
...
---
_id: '10290'
abstract:
- lang: eng
text: A precise quantitative description of the ultrastructural characteristics
underlying biological mechanisms is often key to their understanding. This is
particularly true for dynamic extra- and intracellular filamentous assemblies,
playing a role in cell motility, cell integrity, cytokinesis, tissue formation
and maintenance. For example, genetic manipulation or modulation of actin regulatory
proteins frequently manifests in changes of the morphology, dynamics, and ultrastructural
architecture of actin filament-rich cell peripheral structures, such as lamellipodia
or filopodia. However, the observed ultrastructural effects often remain subtle
and require sufficiently large datasets for appropriate quantitative analysis.
The acquisition of such large datasets has been enabled by recent advances in
high-throughput cryo-electron tomography (cryo-ET) methods. This also necessitates
the development of complementary approaches to maximize the extraction of relevant
biological information. We have developed a computational toolbox for the semi-automatic
quantification of segmented and vectorized filamentous networks from pre-processed
cryo-electron tomograms, facilitating the analysis and cross-comparison of multiple
experimental conditions. GUI-based components simplify the processing of data
and allow users to obtain a large number of ultrastructural parameters describing
filamentous assemblies. We demonstrate the feasibility of this workflow by analyzing
cryo-ET data of untreated and chemically perturbed branched actin filament networks
and that of parallel actin filament arrays. In principle, the computational toolbox
presented here is applicable for data analysis comprising any type of filaments
in regular (i.e. parallel) or random arrangement. We show that it can ease the
identification of key differences between experimental groups and facilitate the
in-depth analysis of ultrastructural data in a time-efficient manner.
acknowledged_ssus:
- _id: ScienComp
- _id: LifeSc
- _id: Bio
- _id: EM-Fac
acknowledgement: 'This research was supported by the Scientific Service Units (SSUs)
of IST Austria through resources provided by Scientific Computing (SciComp), the
Life Science Facility (LSF), the BioImaging Facility (BIF), and the Electron Microscopy
Facility (EMF). We also thank Victor-Valentin Hodirnau for help with cryo-ET data
acquisition. The authors acknowledge support from IST Austria and from the Austrian
Science Fund (FWF): M02495 to G.D. and Austrian Science Fund (FWF): P33367 to F.K.M.S.'
article_number: '107808'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Georgi A
full_name: Dimchev, Georgi A
id: 38C393BE-F248-11E8-B48F-1D18A9856A87
last_name: Dimchev
orcid: 0000-0001-8370-6161
- first_name: Behnam
full_name: Amiri, Behnam
last_name: Amiri
- first_name: Florian
full_name: Fäßler, Florian
id: 404F5528-F248-11E8-B48F-1D18A9856A87
last_name: Fäßler
orcid: 0000-0001-7149-769X
- first_name: Martin
full_name: Falcke, Martin
last_name: Falcke
- first_name: Florian KM
full_name: Schur, Florian KM
id: 48AD8942-F248-11E8-B48F-1D18A9856A87
last_name: Schur
orcid: 0000-0003-4790-8078
citation:
ama: Dimchev GA, Amiri B, Fäßler F, Falcke M, Schur FK. Computational toolbox for
ultrastructural quantitative analysis of filament networks in cryo-ET data. Journal
of Structural Biology. 2021;213(4). doi:10.1016/j.jsb.2021.107808
apa: Dimchev, G. A., Amiri, B., Fäßler, F., Falcke, M., & Schur, F. K. (2021).
Computational toolbox for ultrastructural quantitative analysis of filament networks
in cryo-ET data. Journal of Structural Biology. Elsevier . https://doi.org/10.1016/j.jsb.2021.107808
chicago: Dimchev, Georgi A, Behnam Amiri, Florian Fäßler, Martin Falcke, and Florian
KM Schur. “Computational Toolbox for Ultrastructural Quantitative Analysis of
Filament Networks in Cryo-ET Data.” Journal of Structural Biology. Elsevier
, 2021. https://doi.org/10.1016/j.jsb.2021.107808.
ieee: G. A. Dimchev, B. Amiri, F. Fäßler, M. Falcke, and F. K. Schur, “Computational
toolbox for ultrastructural quantitative analysis of filament networks in cryo-ET
data,” Journal of Structural Biology, vol. 213, no. 4. Elsevier , 2021.
ista: Dimchev GA, Amiri B, Fäßler F, Falcke M, Schur FK. 2021. Computational toolbox
for ultrastructural quantitative analysis of filament networks in cryo-ET data.
Journal of Structural Biology. 213(4), 107808.
mla: Dimchev, Georgi A., et al. “Computational Toolbox for Ultrastructural Quantitative
Analysis of Filament Networks in Cryo-ET Data.” Journal of Structural Biology,
vol. 213, no. 4, 107808, Elsevier , 2021, doi:10.1016/j.jsb.2021.107808.
short: G.A. Dimchev, B. Amiri, F. Fäßler, M. Falcke, F.K. Schur, Journal of Structural
Biology 213 (2021).
date_created: 2021-11-15T12:21:42Z
date_published: 2021-11-03T00:00:00Z
date_updated: 2023-11-21T08:36:02Z
day: '03'
ddc:
- '572'
department:
- _id: FlSc
doi: 10.1016/j.jsb.2021.107808
external_id:
isi:
- '000720259500002'
file:
- access_level: open_access
checksum: 6b209e4d44775d4e02b50f78982c15fa
content_type: application/pdf
creator: cchlebak
date_created: 2021-11-15T13:11:27Z
date_updated: 2021-11-15T13:11:27Z
file_id: '10291'
file_name: 2021_JournalStructBiol_Dimchev.pdf
file_size: 16818304
relation: main_file
success: 1
file_date_updated: 2021-11-15T13:11:27Z
has_accepted_license: '1'
intvolume: ' 213'
isi: 1
issue: '4'
keyword:
- Structural Biology
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 9B954C5C-BA93-11EA-9121-9846C619BF3A
grant_number: P33367
name: Structure and isoform diversity of the Arp2/3 complex
- _id: 2674F658-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02495
name: Protein structure and function in filopodia across scales
publication: Journal of Structural Biology
publication_identifier:
issn:
- 1047-8477
publication_status: published
publisher: 'Elsevier '
quality_controlled: '1'
related_material:
record:
- id: '14502'
relation: software
status: public
scopus_import: '1'
status: public
title: Computational toolbox for ultrastructural quantitative analysis of filament
networks in cryo-ET data
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 213
year: '2021'
...
---
_id: '10535'
abstract:
- lang: eng
text: Realistic models of biological processes typically involve interacting components
on multiple scales, driven by changing environment and inherent stochasticity.
Such models are often analytically and numerically intractable. We revisit a dynamic
maximum entropy method that combines a static maximum entropy with a quasi-stationary
approximation. This allows us to reduce stochastic non-equilibrium dynamics expressed
by the Fokker-Planck equation to a simpler low-dimensional deterministic dynamics,
without the need to track microscopic details. Although the method has been previously
applied to a few (rather complicated) applications in population genetics, our
main goal here is to explain and to better understand how the method works. We
demonstrate the usefulness of the method for two widely studied stochastic problems,
highlighting its accuracy in capturing important macroscopic quantities even in
rapidly changing non-stationary conditions. For the Ornstein-Uhlenbeck process,
the method recovers the exact dynamics whilst for a stochastic island model with
migration from other habitats, the approximation retains high macroscopic accuracy
under a wide range of scenarios in a dynamic environment.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "Computational resources for the study were provided by the Institute
of Science and Technology, Austria.\r\nKB received funding from the Scientific Grant
Agency of the Slovak Republic under the Grants Nos. 1/0755/19 and 1/0521/20."
article_number: e1009661
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Katarína
full_name: Bod'ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'ová
orcid: 0000-0002-7214-0171
- first_name: Eniko
full_name: Szep, Eniko
id: 485BB5A4-F248-11E8-B48F-1D18A9856A87
last_name: Szep
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Bodova K, Szep E, Barton NH. Dynamic maximum entropy provides accurate approximation
of structured population dynamics. PLoS Computational Biology. 2021;17(12).
doi:10.1371/journal.pcbi.1009661
apa: Bodova, K., Szep, E., & Barton, N. H. (2021). Dynamic maximum entropy provides
accurate approximation of structured population dynamics. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1009661
chicago: Bodova, Katarina, Eniko Szep, and Nicholas H Barton. “Dynamic Maximum Entropy
Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational
Biology. Public Library of Science, 2021. https://doi.org/10.1371/journal.pcbi.1009661.
ieee: K. Bodova, E. Szep, and N. H. Barton, “Dynamic maximum entropy provides accurate
approximation of structured population dynamics,” PLoS Computational Biology,
vol. 17, no. 12. Public Library of Science, 2021.
ista: Bodova K, Szep E, Barton NH. 2021. Dynamic maximum entropy provides accurate
approximation of structured population dynamics. PLoS Computational Biology. 17(12),
e1009661.
mla: Bodova, Katarina, et al. “Dynamic Maximum Entropy Provides Accurate Approximation
of Structured Population Dynamics.” PLoS Computational Biology, vol. 17,
no. 12, e1009661, Public Library of Science, 2021, doi:10.1371/journal.pcbi.1009661.
short: K. Bodova, E. Szep, N.H. Barton, PLoS Computational Biology 17 (2021).
date_created: 2021-12-12T23:01:27Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2022-08-01T10:48:04Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1371/journal.pcbi.1009661
external_id:
arxiv:
- '2102.03669'
pmid:
- '34851948'
file:
- access_level: open_access
checksum: dcd185d4f7e0acee25edf1d6537f447e
content_type: application/pdf
creator: dernst
date_created: 2022-05-16T08:53:11Z
date_updated: 2022-05-16T08:53:11Z
file_id: '11383'
file_name: 2021_PLOsComBio_Bodova.pdf
file_size: 2299486
relation: main_file
success: 1
file_date_updated: 2022-05-16T08:53:11Z
has_accepted_license: '1'
intvolume: ' 17'
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Computational Biology
publication_identifier:
eissn:
- 1553-7358
issn:
- 1553-734X
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dynamic maximum entropy provides accurate approximation of structured population
dynamics
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2021'
...
---
_id: '9418'
abstract:
- lang: eng
text: "Deep learning is best known for its empirical success across a wide range
of applications\r\nspanning computer vision, natural language processing and speech.
Of equal significance,\r\nthough perhaps less known, are its ramifications for
learning theory: deep networks have\r\nbeen observed to perform surprisingly well
in the high-capacity regime, aka the overfitting\r\nor underspecified regime.
Classically, this regime on the far right of the bias-variance curve\r\nis associated
with poor generalisation; however, recent experiments with deep networks\r\nchallenge
this view.\r\n\r\nThis thesis is devoted to investigating various aspects of underspecification
in deep learning.\r\nFirst, we argue that deep learning models are underspecified
on two levels: a) any given\r\ntraining dataset can be fit by many different functions,
and b) any given function can be\r\nexpressed by many different parameter configurations.
We refer to the second kind of\r\nunderspecification as parameterisation redundancy
and we precisely characterise its extent.\r\nSecond, we characterise the implicit
criteria (the inductive bias) that guide learning in the\r\nunderspecified regime.
Specifically, we consider a nonlinear but tractable classification\r\nsetting,
and show that given the choice, neural networks learn classifiers with a large
margin.\r\nThird, we consider learning scenarios where the inductive bias is not
by itself sufficient to\r\ndeal with underspecification. We then study different
ways of ‘tightening the specification’: i)\r\nIn the setting of representation
learning with variational autoencoders, we propose a hand-\r\ncrafted regulariser
based on mutual information. ii) In the setting of binary classification, we\r\nconsider
soft-label (real-valued) supervision. We derive a generalisation bound for linear\r\nnetworks
supervised in this way and verify that soft labels facilitate fast learning. Finally,
we\r\nexplore an application of soft-label supervision to the training of multi-exit
models."
acknowledged_ssus:
- _id: ScienComp
- _id: CampIT
- _id: E-Lib
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Phuong
full_name: Bui Thi Mai, Phuong
id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87
last_name: Bui Thi Mai
citation:
ama: Phuong M. Underspecification in deep learning. 2021. doi:10.15479/AT:ISTA:9418
apa: Phuong, M. (2021). Underspecification in deep learning. Institute of
Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9418
chicago: Phuong, Mary. “Underspecification in Deep Learning.” Institute of Science
and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9418.
ieee: M. Phuong, “Underspecification in deep learning,” Institute of Science and
Technology Austria, 2021.
ista: Phuong M. 2021. Underspecification in deep learning. Institute of Science
and Technology Austria.
mla: Phuong, Mary. Underspecification in Deep Learning. Institute of Science
and Technology Austria, 2021, doi:10.15479/AT:ISTA:9418.
short: M. Phuong, Underspecification in Deep Learning, Institute of Science and
Technology Austria, 2021.
date_created: 2021-05-24T13:06:23Z
date_published: 2021-05-30T00:00:00Z
date_updated: 2023-09-08T11:11:12Z
day: '30'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ChLa
doi: 10.15479/AT:ISTA:9418
file:
- access_level: open_access
checksum: 4f0abe64114cfed264f9d36e8d1197e3
content_type: application/pdf
creator: bphuong
date_created: 2021-05-24T11:22:29Z
date_updated: 2021-05-24T11:22:29Z
file_id: '9419'
file_name: mph-thesis-v519-pdfimages.pdf
file_size: 2673905
relation: main_file
success: 1
- access_level: closed
checksum: f5699e876bc770a9b0df8345a77720a2
content_type: application/zip
creator: bphuong
date_created: 2021-05-24T11:56:02Z
date_updated: 2021-05-24T11:56:02Z
file_id: '9420'
file_name: thesis.zip
file_size: 92995100
relation: source_file
file_date_updated: 2021-05-24T11:56:02Z
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '125'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7435'
relation: part_of_dissertation
status: deleted
- id: '7481'
relation: part_of_dissertation
status: public
- id: '9416'
relation: part_of_dissertation
status: public
- id: '7479'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
title: Underspecification in deep learning
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2021'
...
---
_id: '9431'
abstract:
- lang: eng
text: Inositol hexakisphosphate (IP6) is an assembly cofactor for HIV-1. We report
here that IP6 is also used for assembly of Rous sarcoma virus (RSV), a retrovirus
from a different genus. IP6 is ~100-fold more potent at promoting RSV mature capsid
protein (CA) assembly than observed for HIV-1 and removal of IP6 in cells reduces
infectivity by 100-fold. Here, visualized by cryo-electron tomography and subtomogram
averaging, mature capsid-like particles show an IP6-like density in the CA hexamer,
coordinated by rings of six lysines and six arginines. Phosphate and IP6 have
opposing effects on CA in vitro assembly, inducing formation of T = 1 icosahedrons
and tubes, respectively, implying that phosphate promotes pentamer and IP6 hexamer
formation. Subtomogram averaging and classification optimized for analysis of
pleomorphic retrovirus particles reveal that the heterogeneity of mature RSV CA
polyhedrons results from an unexpected, intrinsic CA hexamer flexibility. In contrast,
the CA pentamer forms rigid units organizing the local architecture. These different
features of hexamers and pentamers determine the structural mechanism to form
CA polyhedrons of variable shape in mature RSV particles.
acknowledged_ssus:
- _id: ScienComp
- _id: LifeSc
- _id: EM-Fac
acknowledgement: This work was funded by the National Institute of Allergy and Infectious
Diseases under awards R01AI147890 to R.A.D., R01AI150454 to V.M.V, R35GM136258 in
support of J-P.R.F, and the Austrian Science Fund (FWF) grant P31445 to F.K.M.S.
Access to high-resolution cryo-ET data acquisition at EMBL Heidelberg was supported
by iNEXT (grant no. 653706), funded by the Horizon 2020 program of the European
Union (PID 4246). We thank Wim Hagen and Felix Weis at EMBL Heidelberg for support
in cryo-ET data acquisition. This work made use of the Cornell Center for Materials
Research Shared Facilities, which are supported through the NSF MRSEC program (DMR-179875).
This research was also supported by the Scientific Service Units (SSUs) of IST Austria
through resources provided by Scientific Computing (SciComp), the Life Science Facility
(LSF), and the Electron Microscopy Facility (EMF).
article_number: '3226'
article_processing_charge: No
article_type: original
author:
- first_name: Martin
full_name: Obr, Martin
id: 4741CA5A-F248-11E8-B48F-1D18A9856A87
last_name: Obr
- first_name: Clifton L.
full_name: Ricana, Clifton L.
last_name: Ricana
- first_name: Nadia
full_name: Nikulin, Nadia
last_name: Nikulin
- first_name: Jon-Philip R.
full_name: Feathers, Jon-Philip R.
last_name: Feathers
- first_name: Marco
full_name: Klanschnig, Marco
last_name: Klanschnig
- first_name: Andreas
full_name: Thader, Andreas
id: 3A18A7B8-F248-11E8-B48F-1D18A9856A87
last_name: Thader
- first_name: Marc C.
full_name: Johnson, Marc C.
last_name: Johnson
- first_name: Volker M.
full_name: Vogt, Volker M.
last_name: Vogt
- first_name: Florian KM
full_name: Schur, Florian KM
id: 48AD8942-F248-11E8-B48F-1D18A9856A87
last_name: Schur
orcid: 0000-0003-4790-8078
- first_name: Robert A.
full_name: Dick, Robert A.
last_name: Dick
citation:
ama: Obr M, Ricana CL, Nikulin N, et al. Structure of the mature Rous sarcoma virus
lattice reveals a role for IP6 in the formation of the capsid hexamer. Nature
Communications. 2021;12(1). doi:10.1038/s41467-021-23506-0
apa: Obr, M., Ricana, C. L., Nikulin, N., Feathers, J.-P. R., Klanschnig, M., Thader,
A., … Dick, R. A. (2021). Structure of the mature Rous sarcoma virus lattice reveals
a role for IP6 in the formation of the capsid hexamer. Nature Communications.
Nature Research. https://doi.org/10.1038/s41467-021-23506-0
chicago: Obr, Martin, Clifton L. Ricana, Nadia Nikulin, Jon-Philip R. Feathers,
Marco Klanschnig, Andreas Thader, Marc C. Johnson, Volker M. Vogt, Florian KM
Schur, and Robert A. Dick. “Structure of the Mature Rous Sarcoma Virus Lattice
Reveals a Role for IP6 in the Formation of the Capsid Hexamer.” Nature Communications.
Nature Research, 2021. https://doi.org/10.1038/s41467-021-23506-0.
ieee: M. Obr et al., “Structure of the mature Rous sarcoma virus lattice
reveals a role for IP6 in the formation of the capsid hexamer,” Nature Communications,
vol. 12, no. 1. Nature Research, 2021.
ista: Obr M, Ricana CL, Nikulin N, Feathers J-PR, Klanschnig M, Thader A, Johnson
MC, Vogt VM, Schur FK, Dick RA. 2021. Structure of the mature Rous sarcoma virus
lattice reveals a role for IP6 in the formation of the capsid hexamer. Nature
Communications. 12(1), 3226.
mla: Obr, Martin, et al. “Structure of the Mature Rous Sarcoma Virus Lattice Reveals
a Role for IP6 in the Formation of the Capsid Hexamer.” Nature Communications,
vol. 12, no. 1, 3226, Nature Research, 2021, doi:10.1038/s41467-021-23506-0.
short: M. Obr, C.L. Ricana, N. Nikulin, J.-P.R. Feathers, M. Klanschnig, A. Thader,
M.C. Johnson, V.M. Vogt, F.K. Schur, R.A. Dick, Nature Communications 12 (2021).
date_created: 2021-05-28T14:25:50Z
date_published: 2021-05-28T00:00:00Z
date_updated: 2023-08-08T13:53:53Z
day: '28'
ddc:
- '570'
department:
- _id: FlSc
doi: 10.1038/s41467-021-23506-0
external_id:
isi:
- '000659145000011'
file:
- access_level: open_access
checksum: 53ccc53d09a9111143839dbe7784e663
content_type: application/pdf
creator: kschuh
date_created: 2021-06-09T15:21:14Z
date_updated: 2021-06-09T15:21:14Z
file_id: '9538'
file_name: 2021_NatureCommunications_Obr.pdf
file_size: 6166295
relation: main_file
success: 1
file_date_updated: 2021-06-09T15:21:14Z
has_accepted_license: '1'
intvolume: ' 12'
isi: 1
issue: '1'
keyword:
- General Biochemistry
- Genetics and Molecular Biology
- General Physics and Astronomy
- General Chemistry
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 26736D6A-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P31445
name: Structural conservation and diversity in retroviral capsid
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Nature Research
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/how-retroviruses-become-infectious/
scopus_import: '1'
status: public
title: Structure of the mature Rous sarcoma virus lattice reveals a role for IP6 in
the formation of the capsid hexamer
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 12
year: '2021'
...
---
_id: '9558'
abstract:
- lang: eng
text: "We show that turbulent dynamics that arise in simulations of the three-dimensional
Navier--Stokes equations in a triply-periodic domain under sinusoidal forcing
can be described as transient visits to the neighborhoods of unstable time-periodic
solutions. Based on this description, we reduce the original system with more
than 10^5 degrees of freedom to a 17-node Markov chain where each node corresponds
to the neighborhood of a periodic orbit. The model accurately reproduces long-term
averages of the system's observables as weighted sums over the periodic orbits.\r\n"
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We thank the referees for improving this Letter with their comments.
We acknowledge stimulating discussions with\r\nH. Edelsbrunner. This work was supported
by Grant No. 662960 from the Simons Foundation (B. H.). The numerical calculations
were performed at TUBITAK ULAKBIM High Performance and Grid Computing Center (TRUBA
resources) and IST Austria High Performance Computing cluster."
article_number: '244502'
article_processing_charge: No
article_type: letter_note
arxiv: 1
author:
- first_name: Gökhan
full_name: Yalniz, Gökhan
id: 66E74FA2-D8BF-11E9-8249-8DE2E5697425
last_name: Yalniz
orcid: 0000-0002-8490-9312
- first_name: Björn
full_name: Hof, Björn
id: 3A374330-F248-11E8-B48F-1D18A9856A87
last_name: Hof
orcid: 0000-0003-2057-2754
- first_name: Nazmi B
full_name: Budanur, Nazmi B
id: 3EA1010E-F248-11E8-B48F-1D18A9856A87
last_name: Budanur
orcid: 0000-0003-0423-5010
citation:
ama: Yalniz G, Hof B, Budanur NB. Coarse graining the state space of a turbulent
flow using periodic orbits. Physical Review Letters. 2021;126(24). doi:10.1103/PhysRevLett.126.244502
apa: Yalniz, G., Hof, B., & Budanur, N. B. (2021). Coarse graining the state
space of a turbulent flow using periodic orbits. Physical Review Letters.
American Physical Society. https://doi.org/10.1103/PhysRevLett.126.244502
chicago: Yalniz, Gökhan, Björn Hof, and Nazmi B Budanur. “Coarse Graining the State
Space of a Turbulent Flow Using Periodic Orbits.” Physical Review Letters.
American Physical Society, 2021. https://doi.org/10.1103/PhysRevLett.126.244502.
ieee: G. Yalniz, B. Hof, and N. B. Budanur, “Coarse graining the state space of
a turbulent flow using periodic orbits,” Physical Review Letters, vol.
126, no. 24. American Physical Society, 2021.
ista: Yalniz G, Hof B, Budanur NB. 2021. Coarse graining the state space of a turbulent
flow using periodic orbits. Physical Review Letters. 126(24), 244502.
mla: Yalniz, Gökhan, et al. “Coarse Graining the State Space of a Turbulent Flow
Using Periodic Orbits.” Physical Review Letters, vol. 126, no. 24, 244502,
American Physical Society, 2021, doi:10.1103/PhysRevLett.126.244502.
short: G. Yalniz, B. Hof, N.B. Budanur, Physical Review Letters 126 (2021).
date_created: 2021-06-16T15:45:36Z
date_published: 2021-06-18T00:00:00Z
date_updated: 2023-08-08T14:08:36Z
day: '18'
department:
- _id: GradSch
- _id: BjHo
doi: 10.1103/PhysRevLett.126.244502
external_id:
arxiv:
- '2007.02584'
isi:
- '000663310100008'
intvolume: ' 126'
isi: 1
issue: '24'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2007.02584
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 238598C6-32DE-11EA-91FC-C7463DDC885E
grant_number: '662960'
name: 'Revisiting the Turbulence Problem Using Statistical Mechanics: Experimental
Studies on Transitional and Turbulent Flows'
publication: Physical Review Letters
publication_identifier:
eissn:
- 1079-7114
issn:
- 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/turbulent-flow-simplified/
status: public
title: Coarse graining the state space of a turbulent flow using periodic orbits
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 126
year: '2021'
...
---
_id: '9818'
abstract:
- lang: eng
text: Triangle mesh-based simulations are able to produce satisfying animations
of knitted and woven cloth; however, they lack the rich geometric detail of yarn-level
simulations. Naive texturing approaches do not consider yarn-level physics, while
full yarn-level simulations may become prohibitively expensive for large garments.
We propose a method to animate yarn-level cloth geometry on top of an underlying
deforming mesh in a mechanics-aware fashion. Using triangle strains to interpolate
precomputed yarn geometry, we are able to reproduce effects such as knit loops
tightening under stretching. In combination with precomputed mesh animation or
real-time mesh simulation, our method is able to animate yarn-level cloth in real-time
at large scales.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We wish to thank the anonymous reviewers and the members of the
Visual Computing Group at IST Austria for their valuable feedback. We also thank
Seddi Labs for providing the garment model with fold-over seams.\r\nThis research
was supported by the Scientific Service Units (SSU) of IST Austria through resources
provided by Scientific\r\nComputing. This project has received funding from the
European Research Council (ERC) under the European Union’s Horizon 2020 research
and innovation programme under grant agreement No. 638176. Rahul Narain is supported
by a Pankaj Gupta Young Faculty Fellowship and a gift from Adobe Inc."
article_number: '168'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Georg
full_name: Sperl, Georg
id: 4DD40360-F248-11E8-B48F-1D18A9856A87
last_name: Sperl
- first_name: Rahul
full_name: Narain, Rahul
last_name: Narain
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Sperl G, Narain R, Wojtan C. Mechanics-aware deformation of yarn pattern geometry.
ACM Transactions on Graphics. 2021;40(4). doi:10.1145/3450626.3459816
apa: Sperl, G., Narain, R., & Wojtan, C. (2021). Mechanics-aware deformation
of yarn pattern geometry. ACM Transactions on Graphics. Association for
Computing Machinery. https://doi.org/10.1145/3450626.3459816
chicago: Sperl, Georg, Rahul Narain, and Chris Wojtan. “Mechanics-Aware Deformation
of Yarn Pattern Geometry.” ACM Transactions on Graphics. Association for
Computing Machinery, 2021. https://doi.org/10.1145/3450626.3459816.
ieee: G. Sperl, R. Narain, and C. Wojtan, “Mechanics-aware deformation of yarn pattern
geometry,” ACM Transactions on Graphics, vol. 40, no. 4. Association for
Computing Machinery, 2021.
ista: Sperl G, Narain R, Wojtan C. 2021. Mechanics-aware deformation of yarn pattern
geometry. ACM Transactions on Graphics. 40(4), 168.
mla: Sperl, Georg, et al. “Mechanics-Aware Deformation of Yarn Pattern Geometry.”
ACM Transactions on Graphics, vol. 40, no. 4, 168, Association for Computing
Machinery, 2021, doi:10.1145/3450626.3459816.
short: G. Sperl, R. Narain, C. Wojtan, ACM Transactions on Graphics 40 (2021).
date_created: 2021-08-08T22:01:27Z
date_published: 2021-08-01T00:00:00Z
date_updated: 2023-08-10T14:24:36Z
day: '01'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1145/3450626.3459816
ec_funded: 1
external_id:
isi:
- '000674930900132'
intvolume: ' 40'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1145/3450626.3459816
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on IST Webpage
relation: press_release
url: https://ist.ac.at/en/news/knitting-virtual-yarn/
record:
- id: '12358'
relation: dissertation_contains
status: public
- id: '9327'
relation: software
status: public
scopus_import: '1'
status: public
title: Mechanics-aware deformation of yarn pattern geometry
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '11458'
abstract:
- lang: eng
text: 'The increasing computational requirements of deep neural networks (DNNs)
have led to significant interest in obtaining DNN models that are sparse, yet
accurate. Recent work has investigated the even harder case of sparse training,
where the DNN weights are, for as much as possible, already sparse to reduce computational
costs during training. Existing sparse training methods are often empirical and
can have lower accuracy relative to the dense baseline. In this paper, we present
a general approach called Alternating Compressed/DeCompressed (AC/DC) training
of DNNs, demonstrate convergence for a variant of the algorithm, and show that
AC/DC outperforms existing sparse training methods in accuracy at similar computational
budgets; at high sparsity levels, AC/DC even outperforms existing methods that
rely on accurate pre-trained dense models. An important property of AC/DC is that
it allows co-training of dense and sparse models, yielding accurate sparse–dense
model pairs at the end of the training process. This is useful in practice, where
compressed variants may be desirable for deployment in resource-constrained settings
without re-doing the entire training flow, and also provides us with insights
into the accuracy gap between dense and compressed models. The code is available
at: https://github.com/IST-DASLab/ACDC.'
acknowledged_ssus:
- _id: ScienComp
acknowledgement: This project has received funding from the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation programme
(grant agreement No 805223 ScaleML), and a CNRS PEPS grant. This research was supported
by the Scientific Service Units (SSU) of IST Austria through resources provided
by Scientific Computing (SciComp). We would also like to thank Christoph Lampert
for his feedback on an earlier version of this work, as well as for providing hardware
for the Transformer-XL experiments.
article_processing_charge: No
arxiv: 1
author:
- first_name: Elena-Alexandra
full_name: Peste, Elena-Alexandra
id: 32D78294-F248-11E8-B48F-1D18A9856A87
last_name: Peste
- first_name: Eugenia B
full_name: Iofinova, Eugenia B
id: f9a17499-f6e0-11ea-865d-fdf9a3f77117
last_name: Iofinova
orcid: 0000-0002-7778-3221
- first_name: Adrian
full_name: Vladu, Adrian
last_name: Vladu
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
citation:
ama: 'Peste E-A, Iofinova EB, Vladu A, Alistarh D-A. AC/DC: Alternating Compressed/DeCompressed
training of deep neural networks. In: 35th Conference on Neural Information
Processing Systems. Vol 34. Curran Associates; 2021:8557-8570.'
apa: 'Peste, E.-A., Iofinova, E. B., Vladu, A., & Alistarh, D.-A. (2021). AC/DC:
Alternating Compressed/DeCompressed training of deep neural networks. In 35th
Conference on Neural Information Processing Systems (Vol. 34, pp. 8557–8570).
Virtual, Online: Curran Associates.'
chicago: 'Peste, Elena-Alexandra, Eugenia B Iofinova, Adrian Vladu, and Dan-Adrian
Alistarh. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural
Networks.” In 35th Conference on Neural Information Processing Systems,
34:8557–70. Curran Associates, 2021.'
ieee: 'E.-A. Peste, E. B. Iofinova, A. Vladu, and D.-A. Alistarh, “AC/DC: Alternating
Compressed/DeCompressed training of deep neural networks,” in 35th Conference
on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34,
pp. 8557–8570.'
ista: 'Peste E-A, Iofinova EB, Vladu A, Alistarh D-A. 2021. AC/DC: Alternating Compressed/DeCompressed
training of deep neural networks. 35th Conference on Neural Information Processing
Systems. NeurIPS: Neural Information Processing Systems vol. 34, 8557–8570.'
mla: 'Peste, Elena-Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed
Training of Deep Neural Networks.” 35th Conference on Neural Information Processing
Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.'
short: E.-A. Peste, E.B. Iofinova, A. Vladu, D.-A. Alistarh, in:, 35th Conference
on Neural Information Processing Systems, Curran Associates, 2021, pp. 8557–8570.
conference:
end_date: 2021-12-14
location: Virtual, Online
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2021-12-06
date_created: 2022-06-20T12:11:53Z
date_published: 2021-12-06T00:00:00Z
date_updated: 2023-06-01T12:54:45Z
day: '6'
department:
- _id: GradSch
- _id: DaAl
ec_funded: 1
external_id:
arxiv:
- '2106.12379'
intvolume: ' 34'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://proceedings.neurips.cc/paper/2021/file/48000647b315f6f00f913caa757a70b3-Paper.pdf
month: '12'
oa: 1
oa_version: Published Version
page: 8557-8570
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: 35th Conference on Neural Information Processing Systems
publication_identifier:
isbn:
- '9781713845393'
issn:
- 1049-5258
publication_status: published
publisher: Curran Associates
quality_controlled: '1'
related_material:
record:
- id: '13074'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 'AC/DC: Alternating Compressed/DeCompressed training of deep neural networks'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2021'
...
---
_id: '8261'
abstract:
- lang: eng
text: Dentate gyrus granule cells (GCs) connect the entorhinal cortex to the hippocampal
CA3 region, but how they process spatial information remains enigmatic. To examine
the role of GCs in spatial coding, we measured excitatory postsynaptic potentials
(EPSPs) and action potentials (APs) in head-fixed mice running on a linear belt.
Intracellular recording from morphologically identified GCs revealed that most
cells were active, but activity level varied over a wide range. Whereas only ∼5%
of GCs showed spatially tuned spiking, ∼50% received spatially tuned input. Thus,
the GC population broadly encodes spatial information, but only a subset relays
this information to the CA3 network. Fourier analysis indicated that GCs received
conjunctive place-grid-like synaptic input, suggesting code conversion in single
neurons. GC firing was correlated with dendritic complexity and intrinsic excitability,
but not extrinsic excitatory input or dendritic cable properties. Thus, functional
maturation may control input-output transformation and spatial code conversion.
acknowledged_ssus:
- _id: M-Shop
- _id: ScienComp
- _id: PreCl
acknowledgement: This project has received funding from the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation program (grant
agreement 692692, P.J.) and the Fond zur Förderung der Wissenschaftlichen Forschung
(Z 312-B27, Wittgenstein award, P.J.). We thank Gyorgy Buzsáki, Jozsef Csicsvari,
Juan Ramirez Villegas, and Federico Stella for commenting on earlier versions of
this manuscript. We also thank Katie Bittner, Michael Brecht, Albert Lee, Jeffery
Magee, and Alejandro Pernía-Andrade for sharing expertise in in vivo patch-clamp
recording. We are grateful to Florian Marr for cell labeling, cell reconstruction,
and technical assistance; Ben Suter for helpful discussions; Christina Altmutter
for technical support; Eleftheria Kralli-Beller for manuscript editing; and Todor
Asenov (Machine Shop) for device construction. We also thank the Scientific Service
Units (SSUs) of IST Austria (Machine Shop, Scientific Computing, and Preclinical
Facility) for efficient support.
article_processing_charge: No
article_type: original
author:
- first_name: Xiaomin
full_name: Zhang, Xiaomin
id: 423EC9C2-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Zhang X, Schlögl A, Jonas PM. Selective routing of spatial information flow
from input to output in hippocampal granule cells. Neuron. 2020;107(6):1212-1225.
doi:10.1016/j.neuron.2020.07.006
apa: Zhang, X., Schlögl, A., & Jonas, P. M. (2020). Selective routing of spatial
information flow from input to output in hippocampal granule cells. Neuron.
Elsevier. https://doi.org/10.1016/j.neuron.2020.07.006
chicago: Zhang, Xiaomin, Alois Schlögl, and Peter M Jonas. “Selective Routing of
Spatial Information Flow from Input to Output in Hippocampal Granule Cells.” Neuron.
Elsevier, 2020. https://doi.org/10.1016/j.neuron.2020.07.006.
ieee: X. Zhang, A. Schlögl, and P. M. Jonas, “Selective routing of spatial information
flow from input to output in hippocampal granule cells,” Neuron, vol. 107,
no. 6. Elsevier, pp. 1212–1225, 2020.
ista: Zhang X, Schlögl A, Jonas PM. 2020. Selective routing of spatial information
flow from input to output in hippocampal granule cells. Neuron. 107(6), 1212–1225.
mla: Zhang, Xiaomin, et al. “Selective Routing of Spatial Information Flow from
Input to Output in Hippocampal Granule Cells.” Neuron, vol. 107, no. 6,
Elsevier, 2020, pp. 1212–25, doi:10.1016/j.neuron.2020.07.006.
short: X. Zhang, A. Schlögl, P.M. Jonas, Neuron 107 (2020) 1212–1225.
date_created: 2020-08-14T09:36:05Z
date_published: 2020-09-23T00:00:00Z
date_updated: 2023-08-22T08:30:55Z
day: '23'
ddc:
- '570'
department:
- _id: PeJo
- _id: ScienComp
doi: 10.1016/j.neuron.2020.07.006
ec_funded: 1
external_id:
isi:
- '000579698700009'
pmid:
- '32763145'
file:
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checksum: 44a5960fc083a4cb3488d22224859fdc
content_type: application/pdf
creator: dernst
date_created: 2020-12-04T09:29:21Z
date_updated: 2020-12-04T09:29:21Z
file_id: '8920'
file_name: 2020_Neuron_Zhang.pdf
file_size: 3011120
relation: main_file
success: 1
file_date_updated: 2020-12-04T09:29:21Z
has_accepted_license: '1'
intvolume: ' 107'
isi: 1
issue: '6'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 1212-1225
pmid: 1
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
publication: Neuron
publication_identifier:
issn:
- 0896-6273
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
link:
- description: News on IST Website
relation: press_release
url: https://ist.ac.at/en/news/the-bouncer-in-the-brain/
status: public
title: Selective routing of spatial information flow from input to output in hippocampal
granule cells
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 107
year: '2020'
...
---
_id: '8353'
abstract:
- lang: eng
text: "Mrp (Multi resistance and pH adaptation) are broadly distributed secondary
active antiporters that catalyze the transport of monovalent ions such as sodium
and potassium outside of the cell coupled to the inward translocation of protons.
Mrp antiporters are unique in a way that they are composed of seven subunits (MrpABCDEFG)
encoded in a single operon, whereas other antiporters catalyzing the same reaction
are mostly encoded by a single gene. Mrp exchangers are crucial for intracellular
pH homeostasis and Na+ efflux, essential mechanisms for H+ uptake under alkaline
environments and for reduction of the intracellular concentration of toxic cations.
Mrp displays no homology to any other monovalent Na+(K+)/H+ antiporters but Mrp
subunits have primary sequence similarity to essential redox-driven proton pumps,
such as respiratory complex I and membrane-bound hydrogenases. This similarity
reinforces the hypothesis that these present day redox-driven proton pumps are
descended from the Mrp antiporter. The Mrp structure serves as a model to understand
the yet obscure coupling mechanism between ion or electron transfer and proton
translocation in this large group of proteins. In the thesis, I am presenting
the purification, biochemical analysis, cryo-EM analysis and molecular structure
of the Mrp complex from Anoxybacillus flavithermus solved by cryo-EM at 3.0 Å
resolution. Numerous conditions were screened to purify Mrp to high homogeneity
and to obtain an appropriate distribution of single particles on cryo-EM grids
covered with a continuous layer of ultrathin carbon. A preferred particle orientation
problem was solved by performing a tilted data collection. The activity assays
showed the specific pH-dependent\r\nprofile of secondary active antiporters. The
molecular structure shows that Mrp is a dimer of seven-subunit protomers with
50 trans-membrane helices each. The dimer interface is built by many short and
tilted transmembrane helices, probably causing a thinning of the bacterial membrane.
The surface charge distribution shows an extraordinary asymmetry within each monomer,
revealing presumable proton and sodium translocation pathways. The two largest\r\nand
homologous Mrp subunits MrpA and MrpD probably translocate one proton each into
the cell. The sodium ion is likely being translocated in the opposite direction
within the small subunits along a ladder of charged and conserved residues. Based
on the structure, we propose a mechanism were the antiport activity is accomplished
via electrostatic interactions between the charged cations and key charged residues.
The flexible key TM helices coordinate these\r\nelectrostatic interactions, while
the membrane thinning between the monomers enables the translocation of sodium
across the charged membrane. The entire family of redox-driven proton pumps is
likely to perform their mechanism in a likewise manner."
acknowledged_ssus:
- _id: LifeSc
- _id: EM-Fac
- _id: ScienComp
acknowledgement: "I acknowledge the scientific service units of the IST Austria for
providing resources by the Life Science Facility, the Electron Microscopy Facility
and the high-performance computer cluster. Special thanks to the cryo-EM specialists
Valentin Hodirnau and Daniel Johann Gütl for spending many hours with me in front
of the microscope and for supporting me to collect the data presented here. I also
want to thank Professor Masahiro Ito for providing plasmid DNA\r\nencoding Mrp from
Anoxybacillus flavithermus WK1. I am a recipient of a DOC Fellowship of the Austrian
Academy of Sciences."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Julia
full_name: Steiner, Julia
id: 3BB67EB0-F248-11E8-B48F-1D18A9856A87
last_name: Steiner
orcid: 0000-0003-0493-3775
citation:
ama: Steiner J. Biochemical and structural investigation of the Mrp antiporter,
an ancestor of complex I. 2020. doi:10.15479/AT:ISTA:8353
apa: Steiner, J. (2020). Biochemical and structural investigation of the Mrp
antiporter, an ancestor of complex I. Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:8353
chicago: Steiner, Julia. “Biochemical and Structural Investigation of the Mrp Antiporter,
an Ancestor of Complex I.” Institute of Science and Technology Austria, 2020.
https://doi.org/10.15479/AT:ISTA:8353.
ieee: J. Steiner, “Biochemical and structural investigation of the Mrp antiporter,
an ancestor of complex I,” Institute of Science and Technology Austria, 2020.
ista: Steiner J. 2020. Biochemical and structural investigation of the Mrp antiporter,
an ancestor of complex I. Institute of Science and Technology Austria.
mla: Steiner, Julia. Biochemical and Structural Investigation of the Mrp Antiporter,
an Ancestor of Complex I. Institute of Science and Technology Austria, 2020,
doi:10.15479/AT:ISTA:8353.
short: J. Steiner, Biochemical and Structural Investigation of the Mrp Antiporter,
an Ancestor of Complex I, Institute of Science and Technology Austria, 2020.
date_created: 2020-09-09T14:27:01Z
date_published: 2020-09-09T00:00:00Z
date_updated: 2023-09-07T13:14:09Z
day: '09'
ddc:
- '572'
degree_awarded: PhD
department:
- _id: LeSa
doi: 10.15479/AT:ISTA:8353
file:
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checksum: 2388d7e6e7a4d364c096fa89f305c3de
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creator: jsteiner
date_created: 2020-09-09T14:22:35Z
date_updated: 2021-09-16T12:40:56Z
file_id: '8354'
file_name: Thesis_Julia_Steiner_pdfA.pdf
file_size: 117547589
relation: main_file
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checksum: ba112f957b7145462d0ab79044873ee9
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: jsteiner
date_created: 2020-09-09T14:23:25Z
date_updated: 2020-09-15T08:48:37Z
file_id: '8355'
file_name: Thesis_Julia_Steiner.docx
file_size: 223328668
relation: source_file
file_date_updated: 2021-09-16T12:40:56Z
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: None
page: '191'
project:
- _id: 26169496-B435-11E9-9278-68D0E5697425
grant_number: '24741'
name: Revealing the functional mechanism of Mrp antiporter, an ancestor of complex
I
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '8284'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Leonid A
full_name: Sazanov, Leonid A
id: 338D39FE-F248-11E8-B48F-1D18A9856A87
last_name: Sazanov
orcid: 0000-0002-0977-7989
title: Biochemical and structural investigation of the Mrp antiporter, an ancestor
of complex I
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8366'
abstract:
- lang: eng
text: "Fabrication of curved shells plays an important role in modern design, industry,
and science. Among their remarkable properties are, for example, aesthetics of
organic shapes, ability to evenly distribute loads, or efficient flow separation.
They find applications across vast length scales ranging from sky-scraper architecture
to microscopic devices. But, at\r\nthe same time, the design of curved shells
and their manufacturing process pose a variety of challenges. In this thesis,
they are addressed from several perspectives. In particular, this thesis presents
approaches based on the transformation of initially flat sheets into the target
curved surfaces. This involves problems of interactive design of shells with nontrivial
mechanical constraints, inverse design of complex structural materials, and data-driven
modeling of delicate and time-dependent physical properties. At the same time,
two newly-developed self-morphing mechanisms targeting flat-to-curved transformation
are presented.\r\nIn architecture, doubly curved surfaces can be realized as cold
bent glass panelizations. Originally flat glass panels are bent into frames and
remain stressed. This is a cost-efficient fabrication approach compared to hot
bending, when glass panels are shaped plastically. However such constructions
are prone to breaking during bending, and it is highly\r\nnontrivial to navigate
the design space, keeping the panels fabricable and aesthetically pleasing at
the same time. We introduce an interactive design system for cold bent glass façades,
while previously even offline optimization for such scenarios has not been sufficiently
developed. Our method is based on a deep learning approach providing quick\r\nand
high precision estimation of glass panel shape and stress while handling the shape\r\nmultimodality.\r\nFabrication
of smaller objects of scales below 1 m, can also greatly benefit from shaping
originally flat sheets. In this respect, we designed new self-morphing shell mechanisms
transforming from an initial flat state to a doubly curved state with high precision
and detail. Our so-called CurveUps demonstrate the encodement of the geometric
information\r\ninto the shell. Furthermore, we explored the frontiers of programmable
materials and showed how temporal information can additionally be encoded into
a flat shell. This allows prescribing deformation sequences for doubly curved
surfaces and, thus, facilitates self-collision avoidance enabling complex shapes
and functionalities otherwise impossible.\r\nBoth of these methods include inverse
design tools keeping the user in the design loop."
acknowledged_ssus:
- _id: M-Shop
- _id: ScienComp
acknowledgement: "During the work on this thesis, I received substantial support from
IST Austria’s scientific service units. A big thank you to Todor Asenov and other
Miba Machine Shop team members for their help with fabrication of experimental prototypes.
In addition, I would like to thank Scientific Computing team for the support with
high performance computing.\r\nFinancial support was provided by the European Research
Council (ERC) under grant agreement No 715767 - MATERIALIZABLE: Intelligent fabrication-oriented
Computational Design and Modeling, which I gratefully acknowledge."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
citation:
ama: 'Guseinov R. Computational design of curved thin shells: From glass façades
to programmable matter. 2020. doi:10.15479/AT:ISTA:8366'
apa: 'Guseinov, R. (2020). Computational design of curved thin shells: From glass
façades to programmable matter. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:8366'
chicago: 'Guseinov, Ruslan. “Computational Design of Curved Thin Shells: From Glass
Façades to Programmable Matter.” Institute of Science and Technology Austria,
2020. https://doi.org/10.15479/AT:ISTA:8366.'
ieee: 'R. Guseinov, “Computational design of curved thin shells: From glass façades
to programmable matter,” Institute of Science and Technology Austria, 2020.'
ista: 'Guseinov R. 2020. Computational design of curved thin shells: From glass
façades to programmable matter. Institute of Science and Technology Austria.'
mla: 'Guseinov, Ruslan. Computational Design of Curved Thin Shells: From Glass
Façades to Programmable Matter. Institute of Science and Technology Austria,
2020, doi:10.15479/AT:ISTA:8366.'
short: 'R. Guseinov, Computational Design of Curved Thin Shells: From Glass Façades
to Programmable Matter, Institute of Science and Technology Austria, 2020.'
date_created: 2020-09-10T16:19:55Z
date_published: 2020-09-21T00:00:00Z
date_updated: 2024-02-21T12:44:29Z
day: '21'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: BeBi
doi: 10.15479/AT:ISTA:8366
ec_funded: 1
file:
- access_level: open_access
checksum: f8da89553da36037296b0a80f14ebf50
content_type: application/pdf
creator: rguseino
date_created: 2020-09-10T16:11:49Z
date_updated: 2020-09-10T16:11:49Z
file_id: '8367'
file_name: thesis_rguseinov.pdf
file_size: 70950442
relation: main_file
success: 1
- access_level: closed
checksum: e8fd944c960c20e0e27e6548af69121d
content_type: application/x-zip-compressed
creator: rguseino
date_created: 2020-09-11T09:39:48Z
date_updated: 2020-09-16T15:11:01Z
file_id: '8374'
file_name: thesis_source.zip
file_size: 76207597
relation: source_file
file_date_updated: 2020-09-16T15:11:01Z
has_accepted_license: '1'
keyword:
- computer-aided design
- shape modeling
- self-morphing
- mechanical engineering
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '118'
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication_identifier:
isbn:
- 978-3-99078-010-7
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7151'
relation: research_data
status: deleted
- id: '7262'
relation: part_of_dissertation
status: public
- id: '8562'
relation: part_of_dissertation
status: public
- id: '1001'
relation: part_of_dissertation
status: public
- id: '8375'
relation: research_data
status: public
status: public
supervisor:
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
title: 'Computational design of curved thin shells: From glass façades to programmable
matter'
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8384'
abstract:
- lang: eng
text: Previous research on animations of soap bubbles, films, and foams largely
focuses on the motion and geometric shape of the bubble surface. These works neglect
the evolution of the bubble’s thickness, which is normally responsible for visual
phenomena like surface vortices, Newton’s interference patterns, capillary waves,
and deformation-dependent rupturing of films in a foam. In this paper, we model
these natural phenomena by introducing the film thickness as a reduced degree
of freedom in the Navier-Stokes equations and deriving their equations of motion.
We discretize the equations on a nonmanifold triangle mesh surface and couple
it to an existing bubble solver. In doing so, we also introduce an incompressible
fluid solver for 2.5D films and a novel advection algorithm for convecting fields
across non-manifold surface junctions. Our simulations enhance state-of-the-art
bubble solvers with additional effects caused by convection, rippling, draining,
and evaporation of the thin film.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We wish to thank the anonymous reviewers and the members of the
Visual Computing Group at IST Austria for their valuable feedback, especially Camille
Schreck for her help in rendering. This research was supported by the Scientific
Service Units (SSU) of IST Austria through resources provided by Scientific Computing.
We would like to thank the authors of [Belcour and Barla 2017] for providing their
implementation, the authors of [Atkins and Elliott 2010] and [Seychelles et al.
2008] for allowing us to use their results, and Rok Grah for helpful discussions.
Finally, we thank Ryoichi Ando for many discussions from the beginning of the project
that resulted in important contents of the paper including our formulation, numerical
scheme, and initial implementation. This project has received funding from the\r\nEuropean
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
programme under grant agreement No. 638176."
article_number: '31'
article_processing_charge: No
article_type: original
author:
- first_name: Sadashige
full_name: Ishida, Sadashige
id: 6F7C4B96-A8E9-11E9-A7CA-09ECE5697425
last_name: Ishida
- first_name: Peter
full_name: Synak, Peter
id: 331776E2-F248-11E8-B48F-1D18A9856A87
last_name: Synak
- first_name: Fumiya
full_name: Narita, Fumiya
last_name: Narita
- first_name: Toshiya
full_name: Hachisuka, Toshiya
last_name: Hachisuka
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Ishida S, Synak P, Narita F, Hachisuka T, Wojtan C. A model for soap film dynamics
with evolving thickness. ACM Transactions on Graphics. 2020;39(4). doi:10.1145/3386569.3392405
apa: Ishida, S., Synak, P., Narita, F., Hachisuka, T., & Wojtan, C. (2020).
A model for soap film dynamics with evolving thickness. ACM Transactions on
Graphics. Association for Computing Machinery. https://doi.org/10.1145/3386569.3392405
chicago: Ishida, Sadashige, Peter Synak, Fumiya Narita, Toshiya Hachisuka, and Chris
Wojtan. “A Model for Soap Film Dynamics with Evolving Thickness.” ACM Transactions
on Graphics. Association for Computing Machinery, 2020. https://doi.org/10.1145/3386569.3392405.
ieee: S. Ishida, P. Synak, F. Narita, T. Hachisuka, and C. Wojtan, “A model for
soap film dynamics with evolving thickness,” ACM Transactions on Graphics,
vol. 39, no. 4. Association for Computing Machinery, 2020.
ista: Ishida S, Synak P, Narita F, Hachisuka T, Wojtan C. 2020. A model for soap
film dynamics with evolving thickness. ACM Transactions on Graphics. 39(4), 31.
mla: Ishida, Sadashige, et al. “A Model for Soap Film Dynamics with Evolving Thickness.”
ACM Transactions on Graphics, vol. 39, no. 4, 31, Association for Computing
Machinery, 2020, doi:10.1145/3386569.3392405.
short: S. Ishida, P. Synak, F. Narita, T. Hachisuka, C. Wojtan, ACM Transactions
on Graphics 39 (2020).
date_created: 2020-09-13T22:01:18Z
date_published: 2020-07-08T00:00:00Z
date_updated: 2024-02-28T12:57:31Z
day: '08'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3386569.3392405
ec_funded: 1
external_id:
isi:
- '000583700300004'
file:
- access_level: open_access
checksum: 813831ca91319d794d9748c276b24578
content_type: application/pdf
creator: dernst
date_created: 2020-11-23T09:03:19Z
date_updated: 2020-11-23T09:03:19Z
file_id: '8795'
file_name: 2020_soapfilm_submitted.pdf
file_size: 14935529
relation: main_file
success: 1
file_date_updated: 2020-11-23T09:03:19Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1145/3386569.3392405
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: A model for soap film dynamics with evolving thickness
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2020'
...
---
_id: '8385'
abstract:
- lang: eng
text: 'We present a method for animating yarn-level cloth effects using a thin-shell
solver. We accomplish this through numerical homogenization: we first use a large
number of yarn-level simulations to build a model of the potential energy density
of the cloth, and then use this energy density function to compute forces in a
thin shell simulator. We model several yarn-based materials, including both woven
and knitted fabrics. Our model faithfully reproduces expected effects like the
stiffness of woven fabrics, and the highly deformable nature and anisotropy of
knitted fabrics. Our approach does not require any real-world experiments nor
measurements; because the method is based entirely on simulations, it can generate
entirely new material models quickly, without the need for testing apparatuses
or human intervention. We provide data-driven models of several woven and knitted
fabrics, which can be used for efficient simulation with an off-the-shelf cloth
solver.'
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We wish to thank the anonymous reviewers and the members of the
Visual Computing Group at IST Austria for their valuable feedback. We also thank
the creators of the Berkeley Garment Library [de Joya et al. 2012] for providing
garment meshes, [Krishnamurthy and Levoy 1996] and [Turk and Levoy 1994] for the
armadillo and bunny meshes, the creators of libWetCloth [Fei et al. 2018] for their
implementation of discrete elastic rod forces, and Tomáš Skřivan for\r\ninspiring
discussions and help with Mathematica code generation. This research was supported
by the Scientific Service Units (SSU) of IST Austria through resources provided
by Scientific Computing. This project has received funding from the European Research
Council (ERC) under the European Union’s Horizon 2020 research and innovation programme
under grant agreement No. 638176. Rahul Narain is supported by a Pankaj Gupta Young
Faculty Fellowship and a gift from Adobe Inc."
article_number: '48'
article_processing_charge: No
article_type: original
author:
- first_name: Georg
full_name: Sperl, Georg
id: 4DD40360-F248-11E8-B48F-1D18A9856A87
last_name: Sperl
- first_name: Rahul
full_name: Narain, Rahul
last_name: Narain
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Sperl G, Narain R, Wojtan C. Homogenized yarn-level cloth. ACM Transactions
on Graphics. 2020;39(4). doi:10.1145/3386569.3392412
apa: Sperl, G., Narain, R., & Wojtan, C. (2020). Homogenized yarn-level cloth.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3386569.3392412
chicago: Sperl, Georg, Rahul Narain, and Chris Wojtan. “Homogenized Yarn-Level Cloth.”
ACM Transactions on Graphics. Association for Computing Machinery, 2020.
https://doi.org/10.1145/3386569.3392412.
ieee: G. Sperl, R. Narain, and C. Wojtan, “Homogenized yarn-level cloth,” ACM
Transactions on Graphics, vol. 39, no. 4. Association for Computing Machinery,
2020.
ista: Sperl G, Narain R, Wojtan C. 2020. Homogenized yarn-level cloth. ACM Transactions
on Graphics. 39(4), 48.
mla: Sperl, Georg, et al. “Homogenized Yarn-Level Cloth.” ACM Transactions on
Graphics, vol. 39, no. 4, 48, Association for Computing Machinery, 2020, doi:10.1145/3386569.3392412.
short: G. Sperl, R. Narain, C. Wojtan, ACM Transactions on Graphics 39 (2020).
date_created: 2020-09-13T22:01:18Z
date_published: 2020-07-08T00:00:00Z
date_updated: 2024-02-28T12:57:47Z
day: '08'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3386569.3392412
ec_funded: 1
external_id:
isi:
- '000583700300021'
file:
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checksum: cf4c1d361c3196c4bd424520a5588205
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creator: dernst
date_created: 2020-11-23T09:01:22Z
date_updated: 2020-11-23T09:01:22Z
file_id: '8794'
file_name: 2020_hylc_submitted.pdf
file_size: 38922662
relation: main_file
success: 1
file_date_updated: 2020-11-23T09:01:22Z
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intvolume: ' 39'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
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url: https://doi.org/10.1145/3386569.3392412
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
record:
- id: '12358'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Homogenized yarn-level cloth
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2020'
...
---
_id: '8390'
abstract:
- lang: eng
text: "Deep neural networks have established a new standard for data-dependent feature
extraction pipelines in the Computer Vision literature. Despite their remarkable
performance in the standard supervised learning scenario, i.e. when models are
trained with labeled data and tested on samples that follow a similar distribution,
neural networks have been shown to struggle with more advanced generalization
abilities, such as transferring knowledge across visually different domains, or
generalizing to new unseen combinations of known concepts. In this thesis we argue
that, in contrast to the usual black-box behavior of neural networks, leveraging
more structured internal representations is a promising direction\r\nfor tackling
such problems. In particular, we focus on two forms of structure. First, we tackle
modularity: We show that (i) compositional architectures are a natural tool for
modeling reasoning tasks, in that they efficiently capture their combinatorial
nature, which is key for generalizing beyond the compositions seen during training.
We investigate how to to learn such models, both formally and experimentally,
for the task of abstract visual reasoning. Then, we show that (ii) in some settings,
modularity allows us to efficiently break down complex tasks into smaller, easier,
modules, thereby improving computational efficiency; We study this behavior in
the context of generative models for colorization, as well as for small objects
detection. Secondly, we investigate the inherently layered structure of representations
learned by neural networks, and analyze its role in the context of transfer learning
and domain adaptation across visually\r\ndissimilar domains. "
acknowledged_ssus:
- _id: CampIT
- _id: ScienComp
acknowledgement: Last but not least, I would like to acknowledge the support of the
IST IT and scientific computing team for helping provide a great work environment.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Amélie
full_name: Royer, Amélie
id: 3811D890-F248-11E8-B48F-1D18A9856A87
last_name: Royer
orcid: 0000-0002-8407-0705
citation:
ama: Royer A. Leveraging structure in Computer Vision tasks for flexible Deep Learning
models. 2020. doi:10.15479/AT:ISTA:8390
apa: Royer, A. (2020). Leveraging structure in Computer Vision tasks for flexible
Deep Learning models. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8390
chicago: Royer, Amélie. “Leveraging Structure in Computer Vision Tasks for Flexible
Deep Learning Models.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8390.
ieee: A. Royer, “Leveraging structure in Computer Vision tasks for flexible Deep
Learning models,” Institute of Science and Technology Austria, 2020.
ista: Royer A. 2020. Leveraging structure in Computer Vision tasks for flexible
Deep Learning models. Institute of Science and Technology Austria.
mla: Royer, Amélie. Leveraging Structure in Computer Vision Tasks for Flexible
Deep Learning Models. Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8390.
short: A. Royer, Leveraging Structure in Computer Vision Tasks for Flexible Deep
Learning Models, Institute of Science and Technology Austria, 2020.
date_created: 2020-09-14T13:42:09Z
date_published: 2020-09-14T00:00:00Z
date_updated: 2023-10-16T10:04:02Z
day: '14'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: ChLa
doi: 10.15479/AT:ISTA:8390
file:
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creator: dernst
date_created: 2020-09-14T13:39:14Z
date_updated: 2020-09-14T13:39:14Z
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checksum: ae98fb35d912cff84a89035ae5794d3c
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creator: dernst
date_created: 2020-09-14T13:39:17Z
date_updated: 2020-09-14T13:39:17Z
file_id: '8392'
file_name: thesis_sources.zip
file_size: 74227627
relation: main_file
file_date_updated: 2020-09-14T13:39:17Z
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language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '197'
publication_identifier:
isbn:
- 978-3-99078-007-7
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7936'
relation: part_of_dissertation
status: public
- id: '7937'
relation: part_of_dissertation
status: public
- id: '8193'
relation: part_of_dissertation
status: public
- id: '8092'
relation: part_of_dissertation
status: public
- id: '911'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
title: Leveraging structure in Computer Vision tasks for flexible Deep Learning models
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8535'
abstract:
- lang: eng
text: We propose a method to enhance the visual detail of a water surface simulation.
Our method works as a post-processing step which takes a simulation as input and
increases its apparent resolution by simulating many detailed Lagrangian water
waves on top of it. We extend linear water wave theory to work in non-planar domains
which deform over time, and we discretize the theory using Lagrangian wave packets
attached to spline curves. The method is numerically stable and trivially parallelizable,
and it produces high frequency ripples with dispersive wave-like behaviors customized
to the underlying fluid simulation.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: We wish to thank the anonymous reviewers and the members of the Visual
Computing Group at IST Austria for their valuable feedback. This research was supported
by the Scientific Service Units (SSU) of IST Austria through resources provided
by Scientific Computing. This project has received funding from the European Research
Council (ERC) under the European Union’s Horizon 2020 research and innovation programme
under grant agreement No. 638176 and Marie SkłodowskaCurie Grant Agreement No. 665385.
article_number: '65'
article_processing_charge: No
article_type: original
author:
- first_name: Tomas
full_name: Skrivan, Tomas
id: 486A5A46-F248-11E8-B48F-1D18A9856A87
last_name: Skrivan
- first_name: Andreas
full_name: Soderstrom, Andreas
last_name: Soderstrom
- first_name: John
full_name: Johansson, John
last_name: Johansson
- first_name: Christoph
full_name: Sprenger, Christoph
last_name: Sprenger
- first_name: Ken
full_name: Museth, Ken
last_name: Museth
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: 'Skrivan T, Soderstrom A, Johansson J, Sprenger C, Museth K, Wojtan C. Wave
curves: Simulating Lagrangian water waves on dynamically deforming surfaces. ACM
Transactions on Graphics. 2020;39(4). doi:10.1145/3386569.3392466'
apa: 'Skrivan, T., Soderstrom, A., Johansson, J., Sprenger, C., Museth, K., &
Wojtan, C. (2020). Wave curves: Simulating Lagrangian water waves on dynamically
deforming surfaces. ACM Transactions on Graphics. Association for Computing
Machinery. https://doi.org/10.1145/3386569.3392466'
chicago: 'Skrivan, Tomas, Andreas Soderstrom, John Johansson, Christoph Sprenger,
Ken Museth, and Chris Wojtan. “Wave Curves: Simulating Lagrangian Water Waves
on Dynamically Deforming Surfaces.” ACM Transactions on Graphics. Association
for Computing Machinery, 2020. https://doi.org/10.1145/3386569.3392466.'
ieee: 'T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, and C. Wojtan,
“Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces,”
ACM Transactions on Graphics, vol. 39, no. 4. Association for Computing
Machinery, 2020.'
ista: 'Skrivan T, Soderstrom A, Johansson J, Sprenger C, Museth K, Wojtan C. 2020.
Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces.
ACM Transactions on Graphics. 39(4), 65.'
mla: 'Skrivan, Tomas, et al. “Wave Curves: Simulating Lagrangian Water Waves on
Dynamically Deforming Surfaces.” ACM Transactions on Graphics, vol. 39,
no. 4, 65, Association for Computing Machinery, 2020, doi:10.1145/3386569.3392466.'
short: T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, C. Wojtan,
ACM Transactions on Graphics 39 (2020).
date_created: 2020-09-20T22:01:37Z
date_published: 2020-07-08T00:00:00Z
date_updated: 2023-08-22T09:28:27Z
day: '08'
ddc:
- '000'
department:
- _id: ChWo
doi: 10.1145/3386569.3392466
ec_funded: 1
external_id:
isi:
- '000583700300038'
file:
- access_level: open_access
checksum: c3a680893f01cc4a9e961ff0a4cfa12f
content_type: application/pdf
creator: dernst
date_created: 2020-09-21T07:51:44Z
date_updated: 2020-09-21T07:51:44Z
file_id: '8541'
file_name: 2020_ACM_Skrivan.pdf
file_size: 20223953
relation: main_file
success: 1
file_date_updated: 2020-09-21T07:51:44Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '4'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '15577368'
issn:
- '07300301'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 39
year: '2020'
...
---
_id: '8562'
abstract:
- lang: eng
text: "Cold bent glass is a promising and cost-efficient method for realizing doubly
curved glass facades. They are produced by attaching planar glass sheets to curved
frames and require keeping the occurring stress within safe limits.\r\nHowever,
it is very challenging to navigate the design space of cold bent glass panels
due to the fragility of the material, which impedes the form-finding for practically
feasible and aesthetically pleasing cold bent glass facades. We propose an interactive,
data-driven approach for designing cold bent glass facades that can be seamlessly
integrated into a typical architectural design pipeline. Our method allows non-expert
users to interactively edit a parametric surface while providing real-time feedback
on the deformed shape and maximum stress of cold bent glass panels. Designs are
automatically refined to minimize several fairness criteria while maximal stresses
are kept within glass limits. We achieve interactive frame rates by using a differentiable
Mixture Density Network trained from more than a million simulations. Given a
curved boundary, our regression model is capable of handling multistable\r\nconfigurations
and accurately predicting the equilibrium shape of the panel and its corresponding
maximal stress. We show predictions are highly accurate and validate our results
with a physical realization of a cold bent glass surface."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We thank IST Austria’s Scientific Computing team for their support,
Corinna Datsiou and Sophie Pennetier for their expert input on the practical applications
of cold bent glass, and Zaha Hadid Architects and Waagner Biro for providing the
architectural datasets. Photo of Fondation Louis Vuitton by Francisco Anzola / CC
BY 2.0 / cropped.\r\nPhoto of Opus by Danica O. Kus. This project has received funding
from the European Union’s\r\nHorizon 2020 research and innovation program under
grant agreement No 675789 - Algebraic Representations in Computer-Aided Design for
complEx Shapes (ARCADES), from the European Research Council (ERC) under grant agreement
No 715767 - MATERIALIZABLE: Intelligent fabrication-oriented Computational Design
and Modeling, and SFB-Transregio “Discretization in Geometry and Dynamics” through
grant I 2978 of the Austrian Science Fund (FWF). F. Rist and K. Gavriil have been
partially supported by KAUST baseline funding."
article_number: '208'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Konstantinos
full_name: Gavriil, Konstantinos
last_name: Gavriil
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- first_name: Jesus
full_name: Perez Rodriguez, Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- first_name: Davide
full_name: Pellis, Davide
last_name: Pellis
- first_name: Paul M
full_name: Henderson, Paul M
id: 13C09E74-18D9-11E9-8878-32CFE5697425
last_name: Henderson
orcid: 0000-0002-5198-7445
- first_name: Florian
full_name: Rist, Florian
last_name: Rist
- first_name: Helmut
full_name: Pottmann, Helmut
last_name: Pottmann
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Gavriil K, Guseinov R, Perez Rodriguez J, et al. Computational design of cold
bent glass façades. ACM Transactions on Graphics. 2020;39(6). doi:10.1145/3414685.3417843
apa: Gavriil, K., Guseinov, R., Perez Rodriguez, J., Pellis, D., Henderson, P. M.,
Rist, F., … Bickel, B. (2020). Computational design of cold bent glass façades.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3414685.3417843
chicago: Gavriil, Konstantinos, Ruslan Guseinov, Jesus Perez Rodriguez, Davide Pellis,
Paul M Henderson, Florian Rist, Helmut Pottmann, and Bernd Bickel. “Computational
Design of Cold Bent Glass Façades.” ACM Transactions on Graphics. Association
for Computing Machinery, 2020. https://doi.org/10.1145/3414685.3417843.
ieee: K. Gavriil et al., “Computational design of cold bent glass façades,”
ACM Transactions on Graphics, vol. 39, no. 6. Association for Computing
Machinery, 2020.
ista: Gavriil K, Guseinov R, Perez Rodriguez J, Pellis D, Henderson PM, Rist F,
Pottmann H, Bickel B. 2020. Computational design of cold bent glass façades. ACM
Transactions on Graphics. 39(6), 208.
mla: Gavriil, Konstantinos, et al. “Computational Design of Cold Bent Glass Façades.”
ACM Transactions on Graphics, vol. 39, no. 6, 208, Association for Computing
Machinery, 2020, doi:10.1145/3414685.3417843.
short: K. Gavriil, R. Guseinov, J. Perez Rodriguez, D. Pellis, P.M. Henderson, F.
Rist, H. Pottmann, B. Bickel, ACM Transactions on Graphics 39 (2020).
date_created: 2020-09-23T11:30:02Z
date_published: 2020-11-26T00:00:00Z
date_updated: 2024-02-21T12:43:21Z
day: '26'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3414685.3417843
ec_funded: 1
external_id:
arxiv:
- '2009.03667'
isi:
- '000595589100048'
file:
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checksum: c7f67717ad74e670b7daeae732abe151
content_type: application/pdf
creator: bbickel
date_created: 2023-05-23T20:54:43Z
date_updated: 2023-05-23T20:54:43Z
file_id: '13084'
file_name: coldglass.pdf
file_size: 28964641
relation: main_file
success: 1
file_date_updated: 2023-05-23T20:54:43Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '6'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/bend-dont-break/
record:
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- id: '8761'
relation: research_data
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scopus_import: '1'
status: public
title: Computational design of cold bent glass façades
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 39
year: '2020'
...
---
_id: '8581'
abstract:
- lang: eng
text: The majority of adenosine triphosphate (ATP) powering cellular processes in
eukaryotes is produced by the mitochondrial F1Fo ATP synthase. Here, we present
the atomic models of the membrane Fo domain and the entire mammalian (ovine) F1Fo,
determined by cryo-electron microscopy. Subunits in the membrane domain are arranged
in the ‘proton translocation cluster’ attached to the c-ring and a more distant
‘hook apparatus’ holding subunit e. Unexpectedly, this subunit is anchored to
a lipid ‘plug’ capping the c-ring. We present a detailed proton translocation
pathway in mammalian Fo and key inter-monomer contacts in F1Fo multimers. Cryo-EM
maps of F1Fo exposed to calcium reveal a retracted subunit e and a disassembled
c-ring, suggesting permeability transition pore opening. We propose a model for
the permeability transition pore opening, whereby subunit e pulls the lipid plug
out of the c-ring. Our structure will allow the design of drugs for many emerging
applications in medicine.
acknowledged_ssus:
- _id: EM-Fac
- _id: ScienComp
acknowledgement: We thank J. Novacek from CEITEC (Brno, Czech Republic) for assistance
with collecting the FEI Krios dataset and iNEXT for providing access to CEITEC.
We thank the IST Austria EM facility for access and assistance with collecting the
FEI Glacios dataset. Data processing was performed at the IST high-performance computing
cluster. This work has been supported by iNEXT EM HEDC (proposal 4506), funded by
the Horizon 2020 Programme of the European Commission.
article_processing_charge: No
article_type: original
author:
- first_name: Gergely
full_name: Pinke, Gergely
id: 4D5303E6-F248-11E8-B48F-1D18A9856A87
last_name: Pinke
- first_name: Long
full_name: Zhou, Long
id: 3E751364-F248-11E8-B48F-1D18A9856A87
last_name: Zhou
orcid: 0000-0002-1864-8951
- first_name: Leonid A
full_name: Sazanov, Leonid A
id: 338D39FE-F248-11E8-B48F-1D18A9856A87
last_name: Sazanov
orcid: 0000-0002-0977-7989
citation:
ama: Pinke G, Zhou L, Sazanov LA. Cryo-EM structure of the entire mammalian F-type
ATP synthase. Nature Structural and Molecular Biology. 2020;27(11):1077-1085.
doi:10.1038/s41594-020-0503-8
apa: Pinke, G., Zhou, L., & Sazanov, L. A. (2020). Cryo-EM structure of the
entire mammalian F-type ATP synthase. Nature Structural and Molecular Biology.
Springer Nature. https://doi.org/10.1038/s41594-020-0503-8
chicago: Pinke, Gergely, Long Zhou, and Leonid A Sazanov. “Cryo-EM Structure of
the Entire Mammalian F-Type ATP Synthase.” Nature Structural and Molecular
Biology. Springer Nature, 2020. https://doi.org/10.1038/s41594-020-0503-8.
ieee: G. Pinke, L. Zhou, and L. A. Sazanov, “Cryo-EM structure of the entire mammalian
F-type ATP synthase,” Nature Structural and Molecular Biology, vol. 27,
no. 11. Springer Nature, pp. 1077–1085, 2020.
ista: Pinke G, Zhou L, Sazanov LA. 2020. Cryo-EM structure of the entire mammalian
F-type ATP synthase. Nature Structural and Molecular Biology. 27(11), 1077–1085.
mla: Pinke, Gergely, et al. “Cryo-EM Structure of the Entire Mammalian F-Type ATP
Synthase.” Nature Structural and Molecular Biology, vol. 27, no. 11, Springer
Nature, 2020, pp. 1077–85, doi:10.1038/s41594-020-0503-8.
short: G. Pinke, L. Zhou, L.A. Sazanov, Nature Structural and Molecular Biology
27 (2020) 1077–1085.
date_created: 2020-09-28T08:59:27Z
date_published: 2020-11-01T00:00:00Z
date_updated: 2023-08-22T09:33:09Z
day: '01'
department:
- _id: LeSa
doi: 10.1038/s41594-020-0503-8
external_id:
isi:
- '000569299400004'
pmid:
- '32929284'
intvolume: ' 27'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa_version: None
page: 1077-1085
pmid: 1
publication: Nature Structural and Molecular Biology
publication_identifier:
eissn:
- '15459985'
issn:
- '15459993'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/structure-of-atpase-solved/
scopus_import: '1'
status: public
title: Cryo-EM structure of the entire mammalian F-type ATP synthase
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 27
year: '2020'
...
---
_id: '8586'
abstract:
- lang: eng
text: Cryo-electron microscopy (cryo-EM) of cellular specimens provides insights
into biological processes and structures within a native context. However, a major
challenge still lies in the efficient and reproducible preparation of adherent
cells for subsequent cryo-EM analysis. This is due to the sensitivity of many
cellular specimens to the varying seeding and culturing conditions required for
EM experiments, the often limited amount of cellular material and also the fragility
of EM grids and their substrate. Here, we present low-cost and reusable 3D printed
grid holders, designed to improve specimen preparation when culturing challenging
cellular samples directly on grids. The described grid holders increase cell culture
reproducibility and throughput, and reduce the resources required for cell culturing.
We show that grid holders can be integrated into various cryo-EM workflows, including
micro-patterning approaches to control cell seeding on grids, and for generating
samples for cryo-focused ion beam milling and cryo-electron tomography experiments.
Their adaptable design allows for the generation of specialized grid holders customized
to a large variety of applications.
acknowledged_ssus:
- _id: ScienComp
- _id: LifeSc
- _id: Bio
- _id: EM-Fac
acknowledgement: This work was supported by the Austrian Science Fund (FWF, P33367)
to FKMS. BZ acknowledges support by the Niederösterreich Fond. This research was
also supported by the Scientific Service Units (SSU) of IST Austria through resources
provided by Scientific Computing (SciComp), the Life Science Facility (LSF), the
BioImaging Facility (BIF) and the Electron Microscopy Facility (EMF). We thank Georgi
Dimchev (IST Austria) and Sonja Jacob (Vienna Biocenter Core Facilities) for testing
our grid holders in different experimental setups and Daniel Gütl and the Kondrashov
group (IST Austria) for granting us repeated access to their 3D printers. We also
thank Jonna Alanko and the Sixt lab (IST Austria) for providing us HeLa cells, primary
BL6 mouse tail fibroblasts, NIH 3T3 fibroblasts and human telomerase immortalised
foreskin fibroblasts for our experiments. We are thankful to Ori Avinoam and William
Wan for helpful comments on the manuscript and also thank Dorotea Fracchiolla (Art&Science)
for illustrating the graphical abstract.
article_number: '107633'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Florian
full_name: Fäßler, Florian
id: 404F5528-F248-11E8-B48F-1D18A9856A87
last_name: Fäßler
orcid: 0000-0001-7149-769X
- first_name: Bettina
full_name: Zens, Bettina
id: 45FD126C-F248-11E8-B48F-1D18A9856A87
last_name: Zens
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Florian KM
full_name: Schur, Florian KM
id: 48AD8942-F248-11E8-B48F-1D18A9856A87
last_name: Schur
orcid: 0000-0003-4790-8078
citation:
ama: Fäßler F, Zens B, Hauschild R, Schur FK. 3D printed cell culture grid holders
for improved cellular specimen preparation in cryo-electron microscopy. Journal
of Structural Biology. 2020;212(3). doi:10.1016/j.jsb.2020.107633
apa: Fäßler, F., Zens, B., Hauschild, R., & Schur, F. K. (2020). 3D printed
cell culture grid holders for improved cellular specimen preparation in cryo-electron
microscopy. Journal of Structural Biology. Elsevier. https://doi.org/10.1016/j.jsb.2020.107633
chicago: Fäßler, Florian, Bettina Zens, Robert Hauschild, and Florian KM Schur.
“3D Printed Cell Culture Grid Holders for Improved Cellular Specimen Preparation
in Cryo-Electron Microscopy.” Journal of Structural Biology. Elsevier,
2020. https://doi.org/10.1016/j.jsb.2020.107633.
ieee: F. Fäßler, B. Zens, R. Hauschild, and F. K. Schur, “3D printed cell culture
grid holders for improved cellular specimen preparation in cryo-electron microscopy,”
Journal of Structural Biology, vol. 212, no. 3. Elsevier, 2020.
ista: Fäßler F, Zens B, Hauschild R, Schur FK. 2020. 3D printed cell culture grid
holders for improved cellular specimen preparation in cryo-electron microscopy.
Journal of Structural Biology. 212(3), 107633.
mla: Fäßler, Florian, et al. “3D Printed Cell Culture Grid Holders for Improved
Cellular Specimen Preparation in Cryo-Electron Microscopy.” Journal of Structural
Biology, vol. 212, no. 3, 107633, Elsevier, 2020, doi:10.1016/j.jsb.2020.107633.
short: F. Fäßler, B. Zens, R. Hauschild, F.K. Schur, Journal of Structural Biology
212 (2020).
date_created: 2020-09-29T13:24:06Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2024-03-25T23:30:04Z
day: '01'
ddc:
- '570'
department:
- _id: FlSc
doi: 10.1016/j.jsb.2020.107633
external_id:
isi:
- '000600997800008'
file:
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checksum: c48cbf594e84fc2f91966ffaafc0918c
content_type: application/pdf
creator: dernst
date_created: 2020-12-10T14:01:10Z
date_updated: 2020-12-10T14:01:10Z
file_id: '8937'
file_name: 2020_JourStrucBiology_Faessler.pdf
file_size: 7076870
relation: main_file
success: 1
file_date_updated: 2020-12-10T14:01:10Z
has_accepted_license: '1'
intvolume: ' 212'
isi: 1
issue: '3'
keyword:
- electron microscopy
- cryo-EM
- EM sample preparation
- 3D printing
- cell culture
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 9B954C5C-BA93-11EA-9121-9846C619BF3A
grant_number: P33367
name: Structure and isoform diversity of the Arp2/3 complex
- _id: 059B463C-7A3F-11EA-A408-12923DDC885E
name: NÖ-Fonds Preis für die Jungforscherin des Jahres am IST Austria
publication: Journal of Structural Biology
publication_identifier:
issn:
- 1047-8477
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
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status: public
- id: '12491'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 3D printed cell culture grid holders for improved cellular specimen preparation
in cryo-electron microscopy
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 212
year: '2020'
...
---
_id: '8724'
abstract:
- lang: eng
text: "We study the problem of learning from multiple untrusted data sources, a
scenario of increasing practical relevance given the recent emergence of crowdsourcing
and collaborative learning paradigms. Specifically, we analyze the situation in
which a learning system obtains datasets from multiple sources, some of which
might be biased or even adversarially perturbed. It is\r\nknown that in the single-source
case, an adversary with the power to corrupt a fixed fraction of the training
data can prevent PAC-learnability, that is, even in the limit of infinitely much
training data, no learning system can approach the optimal test error. In this
work we show that, surprisingly, the same is not true in the multi-source setting,
where the adversary can arbitrarily\r\ncorrupt a fixed fraction of the data sources.
Our main results are a generalization bound that provides finite-sample guarantees
for this learning setting, as well as corresponding lower bounds. Besides establishing
PAC-learnability our results also show that in a cooperative learning setting
sharing data with other parties has provable benefits, even if some\r\nparticipants
are malicious. "
acknowledged_ssus:
- _id: ScienComp
acknowledgement: Dan Alistarh is supported in part by the European Research Council
(ERC) under the European Union’s Horizon 2020 research and innovation programme
(grant agreement No 805223 ScaleML). This research was supported by the Scientific
Service Units (SSU) of IST Austria through resources provided by Scientific Computing
(SciComp).
article_processing_charge: No
arxiv: 1
author:
- first_name: Nikola H
full_name: Konstantinov, Nikola H
id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87
last_name: Konstantinov
- first_name: Elias
full_name: Frantar, Elias
id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
last_name: Frantar
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. On the sample complexity
of adversarial multi-source PAC learning. In: Proceedings of the 37th International
Conference on Machine Learning. Vol 119. ML Research Press; 2020:5416-5425.'
apa: 'Konstantinov, N. H., Frantar, E., Alistarh, D.-A., & Lampert, C. (2020).
On the sample complexity of adversarial multi-source PAC learning. In Proceedings
of the 37th International Conference on Machine Learning (Vol. 119, pp. 5416–5425).
Online: ML Research Press.'
chicago: Konstantinov, Nikola H, Elias Frantar, Dan-Adrian Alistarh, and Christoph
Lampert. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.”
In Proceedings of the 37th International Conference on Machine Learning,
119:5416–25. ML Research Press, 2020.
ieee: N. H. Konstantinov, E. Frantar, D.-A. Alistarh, and C. Lampert, “On the sample
complexity of adversarial multi-source PAC learning,” in Proceedings of the
37th International Conference on Machine Learning, Online, 2020, vol. 119,
pp. 5416–5425.
ista: 'Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. 2020. On the sample
complexity of adversarial multi-source PAC learning. Proceedings of the 37th International
Conference on Machine Learning. ICML: International Conference on Machine Learning
vol. 119, 5416–5425.'
mla: Konstantinov, Nikola H., et al. “On the Sample Complexity of Adversarial Multi-Source
PAC Learning.” Proceedings of the 37th International Conference on Machine
Learning, vol. 119, ML Research Press, 2020, pp. 5416–25.
short: N.H. Konstantinov, E. Frantar, D.-A. Alistarh, C. Lampert, in:, Proceedings
of the 37th International Conference on Machine Learning, ML Research Press, 2020,
pp. 5416–5425.
conference:
end_date: 2020-07-18
location: Online
name: 'ICML: International Conference on Machine Learning'
start_date: 2020-07-12
date_created: 2020-11-05T15:25:58Z
date_published: 2020-07-12T00:00:00Z
date_updated: 2023-09-07T13:42:08Z
day: '12'
ddc:
- '000'
department:
- _id: DaAl
- _id: ChLa
ec_funded: 1
external_id:
arxiv:
- '2002.10384'
file:
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checksum: cc755d0054bc4b2be778ea7aa7884d2f
content_type: application/pdf
creator: dernst
date_created: 2021-02-15T09:00:01Z
date_updated: 2021-02-15T09:00:01Z
file_id: '9120'
file_name: 2020_PMLR_Konstantinov.pdf
file_size: 281286
relation: main_file
success: 1
file_date_updated: 2021-02-15T09:00:01Z
has_accepted_license: '1'
intvolume: ' 119'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 5416-5425
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: Proceedings of the 37th International Conference on Machine Learning
publication_identifier:
issn:
- 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
related_material:
link:
- relation: supplementary_material
url: http://proceedings.mlr.press/v119/konstantinov20a/konstantinov20a-supp.pdf
record:
- id: '10799'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: On the sample complexity of adversarial multi-source PAC learning
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 119
year: '2020'
...