---
_id: '6566'
abstract:
- lang: eng
text: Methodologies that involve the use of nanoparticles as “artificial atoms”
to rationally build materials in a bottom-up fashion are particularly well-suited
to control the matter at the nanoscale. Colloidal synthetic routes allow for an
exquisite control over such “artificial atoms” in terms of size, shape, and crystal
phase as well as core and surface compositions. We present here a bottom-up approach
to produce Pb–Ag–K–S–Te nanocomposites, which is a highly promising system for
thermoelectric energy conversion. First, we developed a high-yield and scalable
colloidal synthesis route to uniform lead sulfide (PbS) nanorods, whose tips are
made of silver sulfide (Ag2S). We then took advantage of the large surface-to-volume
ratio to introduce a p-type dopant (K) by replacing native organic ligands with
K2Te. Upon thermal consolidation, K2Te-surface modified PbS–Ag2S nanorods yield
p-type doped nanocomposites with PbTe and PbS as major phases and Ag2S and Ag2Te
as embedded nanoinclusions. Thermoelectric characterization of such consolidated
nanosolids showed a high thermoelectric figure-of-merit of 1 at 620 K.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Aziz
full_name: Genç, Aziz
last_name: Genç
- first_name: Roger
full_name: Hasler, Roger
last_name: Hasler
- first_name: Yu
full_name: Liu, Yu
id: 2A70014E-F248-11E8-B48F-1D18A9856A87
last_name: Liu
orcid: 0000-0001-7313-6740
- first_name: Oleksandr
full_name: Dobrozhan, Oleksandr
last_name: Dobrozhan
- first_name: Olga
full_name: Nazarenko, Olga
last_name: Nazarenko
- first_name: María de la
full_name: Mata, María de la
last_name: Mata
- first_name: Jordi
full_name: Arbiol, Jordi
last_name: Arbiol
- first_name: Andreu
full_name: Cabot, Andreu
last_name: Cabot
- first_name: Maksym V.
full_name: Kovalenko, Maksym V.
last_name: Kovalenko
citation:
ama: Ibáñez M, Genç A, Hasler R, et al. Tuning transport properties in thermoelectric
nanocomposites through inorganic ligands and heterostructured building blocks.
ACS Nano. 2019;13(6):6572-6580. doi:10.1021/acsnano.9b00346
apa: Ibáñez, M., Genç, A., Hasler, R., Liu, Y., Dobrozhan, O., Nazarenko, O., …
Kovalenko, M. V. (2019). Tuning transport properties in thermoelectric nanocomposites
through inorganic ligands and heterostructured building blocks. ACS Nano.
American Chemical Society. https://doi.org/10.1021/acsnano.9b00346
chicago: Ibáñez, Maria, Aziz Genç, Roger Hasler, Yu Liu, Oleksandr Dobrozhan, Olga
Nazarenko, María de la Mata, Jordi Arbiol, Andreu Cabot, and Maksym V. Kovalenko.
“Tuning Transport Properties in Thermoelectric Nanocomposites through Inorganic
Ligands and Heterostructured Building Blocks.” ACS Nano. American Chemical
Society, 2019. https://doi.org/10.1021/acsnano.9b00346.
ieee: M. Ibáñez et al., “Tuning transport properties in thermoelectric nanocomposites
through inorganic ligands and heterostructured building blocks,” ACS Nano,
vol. 13, no. 6. American Chemical Society, pp. 6572–6580, 2019.
ista: Ibáñez M, Genç A, Hasler R, Liu Y, Dobrozhan O, Nazarenko O, Mata M de la,
Arbiol J, Cabot A, Kovalenko MV. 2019. Tuning transport properties in thermoelectric
nanocomposites through inorganic ligands and heterostructured building blocks.
ACS Nano. 13(6), 6572–6580.
mla: Ibáñez, Maria, et al. “Tuning Transport Properties in Thermoelectric Nanocomposites
through Inorganic Ligands and Heterostructured Building Blocks.” ACS Nano,
vol. 13, no. 6, American Chemical Society, 2019, pp. 6572–80, doi:10.1021/acsnano.9b00346.
short: M. Ibáñez, A. Genç, R. Hasler, Y. Liu, O. Dobrozhan, O. Nazarenko, M. de
la Mata, J. Arbiol, A. Cabot, M.V. Kovalenko, ACS Nano 13 (2019) 6572–6580.
date_created: 2019-06-18T13:54:34Z
date_published: 2019-06-25T00:00:00Z
date_updated: 2023-08-28T12:20:53Z
day: '25'
ddc:
- '540'
department:
- _id: MaIb
doi: 10.1021/acsnano.9b00346
ec_funded: 1
external_id:
isi:
- '000473248300043'
pmid:
- '31185159'
file:
- access_level: open_access
content_type: application/pdf
creator: dernst
date_created: 2019-07-16T14:17:09Z
date_updated: 2020-07-14T12:47:33Z
file_id: '6644'
file_name: 2019_ACSNano_Ibanez.pdf
file_size: 8628690
relation: main_file
file_date_updated: 2020-07-14T12:47:33Z
has_accepted_license: '1'
intvolume: ' 13'
isi: 1
issue: '6'
keyword:
- colloidal nanoparticles
- asymmetric nanoparticles
- inorganic ligands
- heterostructures
- catalyst assisted growth
- nanocomposites
- thermoelectrics
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 6572-6580
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: ACS Nano
publication_identifier:
eissn:
- 1936-086X
issn:
- 1936-0851
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Tuning transport properties in thermoelectric nanocomposites through inorganic
ligands and heterostructured building blocks
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 13
year: '2019'
...
---
_id: '6569'
abstract:
- lang: eng
text: 'Knowledge distillation, i.e. one classifier being trained on the outputs
of another classifier, is an empirically very successful technique for knowledge
transfer between classifiers. It has even been observed that classifiers learn
much faster and more reliably if trained with the outputs of another classifier
as soft labels, instead of from ground truth data. So far, however, there is no
satisfactory theoretical explanation of this phenomenon. In this work, we provide
the first insights into the working mechanisms of distillation by studying the
special case of linear and deep linear classifiers. Specifically, we prove a
generalization bound that establishes fast convergence of the expected risk of
a distillation-trained linear classifier. From the bound and its proof we extract
three keyfactors that determine the success of distillation: data geometry – geometric
properties of the datadistribution, in particular class separation, has an immediate
influence on the convergence speed of the risk; optimization bias– gradient descentoptimization
finds a very favorable minimum of the distillation objective; and strong monotonicity–
the expected risk of the student classifier always decreases when the size of
the training set grows.'
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
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Phuong M, Lampert C. Towards understanding knowledge distillation. In: Proceedings
of the 36th International Conference on Machine Learning. Vol 97. ML Research
Press; 2019:5142-5151.'
apa: 'Phuong, M., & Lampert, C. (2019). Towards understanding knowledge distillation.
In Proceedings of the 36th International Conference on Machine Learning
(Vol. 97, pp. 5142–5151). Long Beach, CA, United States: ML Research Press.'
chicago: Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.”
In Proceedings of the 36th International Conference on Machine Learning,
97:5142–51. ML Research Press, 2019.
ieee: M. Phuong and C. Lampert, “Towards understanding knowledge distillation,”
in Proceedings of the 36th International Conference on Machine Learning,
Long Beach, CA, United States, 2019, vol. 97, pp. 5142–5151.
ista: 'Phuong M, Lampert C. 2019. Towards understanding knowledge distillation.
Proceedings of the 36th International Conference on Machine Learning. ICML: International
Conference on Machine Learning vol. 97, 5142–5151.'
mla: Phuong, Mary, and Christoph Lampert. “Towards Understanding Knowledge Distillation.”
Proceedings of the 36th International Conference on Machine Learning, vol.
97, ML Research Press, 2019, pp. 5142–51.
short: M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference
on Machine Learning, ML Research Press, 2019, pp. 5142–5151.
conference:
end_date: 2019-06-15
location: Long Beach, CA, United States
name: 'ICML: International Conference on Machine Learning'
start_date: 2019-06-10
date_created: 2019-06-20T18:23:03Z
date_published: 2019-06-13T00:00:00Z
date_updated: 2023-10-17T12:31:38Z
day: '13'
ddc:
- '000'
department:
- _id: ChLa
file:
- access_level: open_access
checksum: a66d00e2694d749250f8507f301320ca
content_type: application/pdf
creator: bphuong
date_created: 2019-06-20T18:22:56Z
date_updated: 2020-07-14T12:47:33Z
file_id: '6570'
file_name: paper.pdf
file_size: 686432
relation: main_file
file_date_updated: 2020-07-14T12:47:33Z
has_accepted_license: '1'
intvolume: ' 97'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 5142-5151
publication: Proceedings of the 36th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Towards understanding knowledge distillation
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 97
year: '2019'
...
---
_id: '6575'
abstract:
- lang: eng
text: Motivated by recent experimental observations of coherent many-body revivals
in a constrained Rydbergatom chain, we construct a weak quasilocal deformation
of the Rydberg-blockaded Hamiltonian, whichmakes the revivals virtually perfect.
Our analysis suggests the existence of an underlying nonintegrableHamiltonian
which supports an emergent SU(2)-spin dynamics within a small subspace of the
many-bodyHilbert space. We show that such perfect dynamics necessitates the existence
of atypical, nonergodicenergy eigenstates—quantum many-body scars. Furthermore,
using these insights, we construct a toymodel that hosts exact quantum many-body
scars, providing an intuitive explanation of their origin. Ourresults offer specific
routes to enhancing coherent many-body revivals and provide a step towardestablishing
the stability of quantum many-body scars in the thermodynamic limit.
article_number: '220603'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Soonwon
full_name: Choi, Soonwon
last_name: Choi
- first_name: Christopher J.
full_name: Turner, Christopher J.
last_name: Turner
- first_name: Hannes
full_name: Pichler, Hannes
last_name: Pichler
- first_name: Wen Wei
full_name: Ho, Wen Wei
last_name: Ho
- first_name: Alexios
full_name: Michailidis, Alexios
id: 36EBAD38-F248-11E8-B48F-1D18A9856A87
last_name: Michailidis
orcid: 0000-0002-8443-1064
- first_name: Zlatko
full_name: Papić, Zlatko
last_name: Papić
- first_name: Maksym
full_name: Serbyn, Maksym
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
- first_name: Mikhail D.
full_name: Lukin, Mikhail D.
last_name: Lukin
- first_name: Dmitry A.
full_name: Abanin, Dmitry A.
last_name: Abanin
citation:
ama: Choi S, Turner CJ, Pichler H, et al. Emergent SU(2) dynamics and perfect quantum
many-body scars. Physical Review Letters. 2019;122(22). doi:10.1103/PhysRevLett.122.220603
apa: Choi, S., Turner, C. J., Pichler, H., Ho, W. W., Michailidis, A., Papić, Z.,
… Abanin, D. A. (2019). Emergent SU(2) dynamics and perfect quantum many-body
scars. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.122.220603
chicago: Choi, Soonwon, Christopher J. Turner, Hannes Pichler, Wen Wei Ho, Alexios
Michailidis, Zlatko Papić, Maksym Serbyn, Mikhail D. Lukin, and Dmitry A. Abanin.
“Emergent SU(2) Dynamics and Perfect Quantum Many-Body Scars.” Physical Review
Letters. American Physical Society, 2019. https://doi.org/10.1103/PhysRevLett.122.220603.
ieee: S. Choi et al., “Emergent SU(2) dynamics and perfect quantum many-body
scars,” Physical Review Letters, vol. 122, no. 22. American Physical Society,
2019.
ista: Choi S, Turner CJ, Pichler H, Ho WW, Michailidis A, Papić Z, Serbyn M, Lukin
MD, Abanin DA. 2019. Emergent SU(2) dynamics and perfect quantum many-body scars.
Physical Review Letters. 122(22), 220603.
mla: Choi, Soonwon, et al. “Emergent SU(2) Dynamics and Perfect Quantum Many-Body
Scars.” Physical Review Letters, vol. 122, no. 22, 220603, American Physical
Society, 2019, doi:10.1103/PhysRevLett.122.220603.
short: S. Choi, C.J. Turner, H. Pichler, W.W. Ho, A. Michailidis, Z. Papić, M. Serbyn,
M.D. Lukin, D.A. Abanin, Physical Review Letters 122 (2019).
date_created: 2019-06-23T21:59:13Z
date_published: 2019-06-07T00:00:00Z
date_updated: 2024-02-28T13:12:22Z
day: '07'
department:
- _id: MaSe
doi: 10.1103/PhysRevLett.122.220603
external_id:
arxiv:
- '1812.05561'
isi:
- '000470885800005'
intvolume: ' 122'
isi: 1
issue: '22'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1812.05561
month: '06'
oa: 1
oa_version: Preprint
publication: Physical Review Letters
publication_identifier:
eissn:
- '10797114'
issn:
- '00319007'
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Emergent SU(2) dynamics and perfect quantum many-body scars
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 122
year: '2019'
...
---
_id: '6586'
abstract:
- lang: eng
text: The bottom-up assembly of colloidal nanocrystals is a versatile methodology
to produce composite nanomaterials with precisely tuned electronic properties.
Beyond the synthetic control over crystal domain size, shape, crystal phase, and
composition, solution-processed nanocrystals allow exquisite surface engineering.
This provides additional means to modulate the nanomaterial characteristics and
particularly its electronic transport properties. For instance, inorganic surface
ligands can be used to tune the type and concentration of majority carriers or
to modify the electronic band structure. Herein, we report the thermoelectric
properties of SnTe nanocomposites obtained from the consolidation of surface-engineered
SnTe nanocrystals into macroscopic pellets. A CdSe-based ligand is selected to
(i) converge the light and heavy bands through partial Cd alloying and (ii) generate
CdSe nanoinclusions as a secondary phase within the SnTe matrix, thereby reducing
the thermal conductivity. These SnTe-CdSe nanocomposites possess thermoelectric
figures of merit of up to 1.3 at 850 K, which is, to the best of our knowledge,
the highest thermoelectric figure of merit reported for solution-processed SnTe.
article_processing_charge: No
article_type: original
author:
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Roger
full_name: Hasler, Roger
last_name: Hasler
- first_name: Aziz
full_name: Genç, Aziz
last_name: Genç
- first_name: Yu
full_name: Liu, Yu
id: 2A70014E-F248-11E8-B48F-1D18A9856A87
last_name: Liu
orcid: 0000-0001-7313-6740
- first_name: Beatrice
full_name: Kuster, Beatrice
last_name: Kuster
- first_name: Maximilian
full_name: Schuster, Maximilian
last_name: Schuster
- first_name: Oleksandr
full_name: Dobrozhan, Oleksandr
last_name: Dobrozhan
- first_name: Doris
full_name: Cadavid, Doris
last_name: Cadavid
- first_name: Jordi
full_name: Arbiol, Jordi
last_name: Arbiol
- first_name: Andreu
full_name: Cabot, Andreu
last_name: Cabot
- first_name: Maksym V.
full_name: Kovalenko, Maksym V.
last_name: Kovalenko
citation:
ama: Ibáñez M, Hasler R, Genç A, et al. Ligand-mediated band engineering in bottom-up
assembled SnTe nanocomposites for thermoelectric energy conversion. Journal
of the American Chemical Society. 2019;141(20):8025-8029. doi:10.1021/jacs.9b01394
apa: Ibáñez, M., Hasler, R., Genç, A., Liu, Y., Kuster, B., Schuster, M., … Kovalenko,
M. V. (2019). Ligand-mediated band engineering in bottom-up assembled SnTe nanocomposites
for thermoelectric energy conversion. Journal of the American Chemical Society.
American Chemical Society. https://doi.org/10.1021/jacs.9b01394
chicago: Ibáñez, Maria, Roger Hasler, Aziz Genç, Yu Liu, Beatrice Kuster, Maximilian
Schuster, Oleksandr Dobrozhan, et al. “Ligand-Mediated Band Engineering in Bottom-up
Assembled SnTe Nanocomposites for Thermoelectric Energy Conversion.” Journal
of the American Chemical Society. American Chemical Society, 2019. https://doi.org/10.1021/jacs.9b01394.
ieee: M. Ibáñez et al., “Ligand-mediated band engineering in bottom-up assembled
SnTe nanocomposites for thermoelectric energy conversion,” Journal of the American
Chemical Society, vol. 141, no. 20. American Chemical Society, pp. 8025–8029,
2019.
ista: Ibáñez M, Hasler R, Genç A, Liu Y, Kuster B, Schuster M, Dobrozhan O, Cadavid
D, Arbiol J, Cabot A, Kovalenko MV. 2019. Ligand-mediated band engineering in
bottom-up assembled SnTe nanocomposites for thermoelectric energy conversion.
Journal of the American Chemical Society. 141(20), 8025–8029.
mla: Ibáñez, Maria, et al. “Ligand-Mediated Band Engineering in Bottom-up Assembled
SnTe Nanocomposites for Thermoelectric Energy Conversion.” Journal of the American
Chemical Society, vol. 141, no. 20, American Chemical Society, 2019, pp. 8025–29,
doi:10.1021/jacs.9b01394.
short: M. Ibáñez, R. Hasler, A. Genç, Y. Liu, B. Kuster, M. Schuster, O. Dobrozhan,
D. Cadavid, J. Arbiol, A. Cabot, M.V. Kovalenko, Journal of the American Chemical
Society 141 (2019) 8025–8029.
date_created: 2019-06-25T11:53:35Z
date_published: 2019-04-19T00:00:00Z
date_updated: 2023-09-05T12:03:45Z
day: '19'
ddc:
- '540'
department:
- _id: MaIb
doi: 10.1021/jacs.9b01394
ec_funded: 1
external_id:
isi:
- '000469292300004'
pmid:
- '31017419 '
file:
- access_level: open_access
checksum: 34d7ec837869cc6a07996b54f75696b7
content_type: application/pdf
creator: cpetz
date_created: 2019-06-25T11:59:00Z
date_updated: 2020-07-14T12:47:34Z
file_id: '6587'
file_name: JACS_April2019.pdf
file_size: 6234004
relation: main_file
file_date_updated: 2020-07-14T12:47:34Z
has_accepted_license: '1'
intvolume: ' 141'
isi: 1
issue: '20'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 8025-8029
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Journal of the American Chemical Society
publication_identifier:
eissn:
- 1520-5126
issn:
- 0002-7863
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Ligand-mediated band engineering in bottom-up assembled SnTe nanocomposites
for thermoelectric energy conversion
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 141
year: '2019'
...
---
_id: '6590'
abstract:
- lang: eng
text: 'Modern machine learning methods often require more data for training than
a single expert can provide. Therefore, it has become a standard procedure to
collect data from external sources, e.g. via crowdsourcing. Unfortunately, the
quality of these sources is not always guaranteed. As additional complications,
the data might be stored in a distributed way, or might even have to remain private.
In this work, we address the question of how to learn robustly in such scenarios.
Studying the problem through the lens of statistical learning theory, we derive
a procedure that allows for learning from all available sources, yet automatically
suppresses irrelevant or corrupted data. We show by extensive experiments that
our method provides significant improvements over alternative approaches from
robust statistics and distributed optimization. '
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: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Konstantinov NH, Lampert C. Robust learning from untrusted sources. In: Proceedings
of the 36th International Conference on Machine Learning. Vol 97. ML Research
Press; 2019:3488-3498.'
apa: 'Konstantinov, N. H., & Lampert, C. (2019). Robust learning from untrusted
sources. In Proceedings of the 36th International Conference on Machine Learning
(Vol. 97, pp. 3488–3498). Long Beach, CA, USA: ML Research Press.'
chicago: Konstantinov, Nikola H, and Christoph Lampert. “Robust Learning from Untrusted
Sources.” In Proceedings of the 36th International Conference on Machine Learning,
97:3488–98. ML Research Press, 2019.
ieee: N. H. Konstantinov and C. Lampert, “Robust learning from untrusted sources,”
in Proceedings of the 36th International Conference on Machine Learning,
Long Beach, CA, USA, 2019, vol. 97, pp. 3488–3498.
ista: 'Konstantinov NH, Lampert C. 2019. Robust learning from untrusted sources.
Proceedings of the 36th International Conference on Machine Learning. ICML: International
Conference on Machine Learning vol. 97, 3488–3498.'
mla: Konstantinov, Nikola H., and Christoph Lampert. “Robust Learning from Untrusted
Sources.” Proceedings of the 36th International Conference on Machine Learning,
vol. 97, ML Research Press, 2019, pp. 3488–98.
short: N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International
Conference on Machine Learning, ML Research Press, 2019, pp. 3488–3498.
conference:
end_date: 2919-06-15
location: Long Beach, CA, USA
name: 'ICML: International Conference on Machine Learning'
start_date: 2019-06-10
date_created: 2019-06-27T14:18:23Z
date_published: 2019-06-01T00:00:00Z
date_updated: 2023-10-17T12:31:55Z
day: '01'
department:
- _id: ChLa
ec_funded: 1
external_id:
arxiv:
- '1901.10310'
intvolume: ' 97'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1901.10310
month: '06'
oa: 1
oa_version: Preprint
page: 3488-3498
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the 36th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
related_material:
record:
- id: '10799'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Robust learning from untrusted sources
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 97
year: '2019'
...
---
_id: '6596'
abstract:
- lang: eng
text: It is well known that many problems in image recovery, signal processing,
and machine learning can be modeled as finding zeros of the sum of maximal monotone
and Lipschitz continuous monotone operators. Many papers have studied forward-backward
splitting methods for finding zeros of the sum of two monotone operators in Hilbert
spaces. Most of the proposed splitting methods in the literature have been proposed
for the sum of maximal monotone and inverse-strongly monotone operators in Hilbert
spaces. In this paper, we consider splitting methods for finding zeros of the
sum of maximal monotone operators and Lipschitz continuous monotone operators
in Banach spaces. We obtain weak and strong convergence results for the zeros
of the sum of maximal monotone and Lipschitz continuous monotone operators in
Banach spaces. Many already studied problems in the literature can be considered
as special cases of this paper.
article_number: '138'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Yekini
full_name: Shehu, Yekini
id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87
last_name: Shehu
orcid: 0000-0001-9224-7139
citation:
ama: Shehu Y. Convergence results of forward-backward algorithms for sum of monotone
operators in Banach spaces. Results in Mathematics. 2019;74(4). doi:10.1007/s00025-019-1061-4
apa: Shehu, Y. (2019). Convergence results of forward-backward algorithms for sum
of monotone operators in Banach spaces. Results in Mathematics. Springer.
https://doi.org/10.1007/s00025-019-1061-4
chicago: Shehu, Yekini. “Convergence Results of Forward-Backward Algorithms for
Sum of Monotone Operators in Banach Spaces.” Results in Mathematics. Springer,
2019. https://doi.org/10.1007/s00025-019-1061-4.
ieee: Y. Shehu, “Convergence results of forward-backward algorithms for sum of monotone
operators in Banach spaces,” Results in Mathematics, vol. 74, no. 4. Springer,
2019.
ista: Shehu Y. 2019. Convergence results of forward-backward algorithms for sum
of monotone operators in Banach spaces. Results in Mathematics. 74(4), 138.
mla: Shehu, Yekini. “Convergence Results of Forward-Backward Algorithms for Sum
of Monotone Operators in Banach Spaces.” Results in Mathematics, vol. 74,
no. 4, 138, Springer, 2019, doi:10.1007/s00025-019-1061-4.
short: Y. Shehu, Results in Mathematics 74 (2019).
date_created: 2019-06-29T10:11:30Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-08-28T12:26:22Z
day: '01'
ddc:
- '000'
department:
- _id: VlKo
doi: 10.1007/s00025-019-1061-4
ec_funded: 1
external_id:
arxiv:
- '2101.09068'
isi:
- '000473237500002'
file:
- access_level: open_access
checksum: c6d18cb1e16fc0c36a0e0f30b4ebbc2d
content_type: application/pdf
creator: kschuh
date_created: 2019-07-03T15:20:40Z
date_updated: 2020-07-14T12:47:34Z
file_id: '6605'
file_name: Springer_2019_Shehu.pdf
file_size: 466942
relation: main_file
file_date_updated: 2020-07-14T12:47:34Z
has_accepted_license: '1'
intvolume: ' 74'
isi: 1
issue: '4'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25FBA906-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '616160'
name: 'Discrete Optimization in Computer Vision: Theory and Practice'
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: Results in Mathematics
publication_identifier:
eissn:
- 1420-9012
issn:
- 1422-6383
publication_status: published
publisher: Springer
quality_controlled: '1'
scopus_import: '1'
status: public
title: Convergence results of forward-backward algorithms for sum of monotone operators
in Banach spaces
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: 74
year: '2019'
...
---
_id: '6601'
abstract:
- lang: eng
text: There is increasing evidence that both mechanical and biochemical signals
play important roles in development and disease. The development of complex organisms,
in particular, has been proposed to rely on the feedback between mechanical and
biochemical patterning events. This feedback occurs at the molecular level via
mechanosensation but can also arise as an emergent property of the system at the
cellular and tissue level. In recent years, dynamic changes in tissue geometry,
flow, rheology, and cell fate specification have emerged as key platforms of mechanochemical
feedback loops in multiple processes. Here, we review recent experimental and
theoretical advances in understanding how these feedbacks function in development
and disease.
article_processing_charge: No
article_type: review
author:
- first_name: Edouard B
full_name: Hannezo, Edouard B
id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
last_name: Hannezo
orcid: 0000-0001-6005-1561
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
citation:
ama: Hannezo EB, Heisenberg C-PJ. Mechanochemical feedback loops in development
and disease. Cell. 2019;178(1):12-25. doi:10.1016/j.cell.2019.05.052
apa: Hannezo, E. B., & Heisenberg, C.-P. J. (2019). Mechanochemical feedback
loops in development and disease. Cell. Elsevier. https://doi.org/10.1016/j.cell.2019.05.052
chicago: Hannezo, Edouard B, and Carl-Philipp J Heisenberg. “Mechanochemical Feedback
Loops in Development and Disease.” Cell. Elsevier, 2019. https://doi.org/10.1016/j.cell.2019.05.052.
ieee: E. B. Hannezo and C.-P. J. Heisenberg, “Mechanochemical feedback loops in
development and disease,” Cell, vol. 178, no. 1. Elsevier, pp. 12–25, 2019.
ista: Hannezo EB, Heisenberg C-PJ. 2019. Mechanochemical feedback loops in development
and disease. Cell. 178(1), 12–25.
mla: Hannezo, Edouard B., and Carl-Philipp J. Heisenberg. “Mechanochemical Feedback
Loops in Development and Disease.” Cell, vol. 178, no. 1, Elsevier, 2019,
pp. 12–25, doi:10.1016/j.cell.2019.05.052.
short: E.B. Hannezo, C.-P.J. Heisenberg, Cell 178 (2019) 12–25.
date_created: 2019-06-30T21:59:11Z
date_published: 2019-07-27T00:00:00Z
date_updated: 2023-08-28T12:25:21Z
day: '27'
department:
- _id: CaHe
- _id: EdHa
doi: 10.1016/j.cell.2019.05.052
ec_funded: 1
external_id:
isi:
- '000473002700005'
pmid:
- '31251912'
intvolume: ' 178'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.cell.2019.05.052
month: '07'
oa: 1
oa_version: Published Version
page: 12-25
pmid: 1
project:
- _id: 260F1432-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '742573'
name: Interaction and feedback between cell mechanics and fate specification in
vertebrate gastrulation
- _id: 268294B6-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P31639
name: Active mechano-chemical description of the cell cytoskeleton
publication: Cell
publication_identifier:
issn:
- '00928674'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Mechanochemical feedback loops in development and disease
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 178
year: '2019'
...
---
_id: '6607'
abstract:
- lang: eng
text: Acute myeloid leukemia (AML) is a heterogeneous disease with respect to its
genetic and molecular basis and to patients´ outcome. Clinical, cytogenetic, and
mutational data are used to classify patients into risk groups with different
survival, however, within-group heterogeneity is still an issue. Here, we used
a robust likelihood-based survival modeling approach and publicly available gene
expression data to identify a minimal number of genes whose combined expression
values were prognostic of overall survival. The resulting gene expression signature
(4-GES) consisted of 4 genes (SOCS2, IL2RA, NPDC1, PHGDH), predicted patient survival
as an independent prognostic parameter in several cohorts of AML patients (total,
1272 patients), and further refined prognostication based on the European Leukemia
Net classification. An oncogenic role of the top scoring gene in this signature,
SOCS2, was investigated using MLL-AF9 and Flt3-ITD/NPM1c driven mouse models of
AML. SOCS2 promoted leukemogenesis as well as the abundance, quiescence, and activity
of AML stem cells. Overall, the 4-GES represents a highly discriminating prognostic
parameter in AML, whose clinical applicability is greatly enhanced by its small
number of genes. The newly established role of SOCS2 in leukemia aggressiveness
and stemness raises the possibility that the signature might even be exploitable
therapeutically.
article_number: '9139'
article_processing_charge: No
author:
- first_name: Chi Huu
full_name: Nguyen, Chi Huu
last_name: Nguyen
- first_name: Tobias
full_name: Glüxam, Tobias
last_name: Glüxam
- first_name: Angela
full_name: Schlerka, Angela
last_name: Schlerka
- first_name: Katharina
full_name: Bauer, Katharina
id: 2ED6B14C-F248-11E8-B48F-1D18A9856A87
last_name: Bauer
- first_name: Alexander M.
full_name: Grandits, Alexander M.
last_name: Grandits
- first_name: Hubert
full_name: Hackl, Hubert
last_name: Hackl
- first_name: Oliver
full_name: Dovey, Oliver
last_name: Dovey
- first_name: Sabine
full_name: Zöchbauer-Müller, Sabine
last_name: Zöchbauer-Müller
- first_name: Jonathan L.
full_name: Cooper, Jonathan L.
last_name: Cooper
- first_name: George S.
full_name: Vassiliou, George S.
last_name: Vassiliou
- first_name: Dagmar
full_name: Stoiber, Dagmar
last_name: Stoiber
- first_name: Rotraud
full_name: Wieser, Rotraud
last_name: Wieser
- first_name: Gerwin
full_name: Heller, Gerwin
last_name: Heller
citation:
ama: Nguyen CH, Glüxam T, Schlerka A, et al. SOCS2 is part of a highly prognostic
4-gene signature in AML and promotes disease aggressiveness. Scientific Reports.
2019;9(1). doi:10.1038/s41598-019-45579-0
apa: Nguyen, C. H., Glüxam, T., Schlerka, A., Bauer, K., Grandits, A. M., Hackl,
H., … Heller, G. (2019). SOCS2 is part of a highly prognostic 4-gene signature
in AML and promotes disease aggressiveness. Scientific Reports. Nature
Publishing Group. https://doi.org/10.1038/s41598-019-45579-0
chicago: Nguyen, Chi Huu, Tobias Glüxam, Angela Schlerka, Katharina Bauer, Alexander
M. Grandits, Hubert Hackl, Oliver Dovey, et al. “SOCS2 Is Part of a Highly Prognostic
4-Gene Signature in AML and Promotes Disease Aggressiveness.” Scientific Reports.
Nature Publishing Group, 2019. https://doi.org/10.1038/s41598-019-45579-0.
ieee: C. H. Nguyen et al., “SOCS2 is part of a highly prognostic 4-gene signature
in AML and promotes disease aggressiveness,” Scientific Reports, vol. 9,
no. 1. Nature Publishing Group, 2019.
ista: Nguyen CH, Glüxam T, Schlerka A, Bauer K, Grandits AM, Hackl H, Dovey O, Zöchbauer-Müller
S, Cooper JL, Vassiliou GS, Stoiber D, Wieser R, Heller G. 2019. SOCS2 is part
of a highly prognostic 4-gene signature in AML and promotes disease aggressiveness.
Scientific Reports. 9(1), 9139.
mla: Nguyen, Chi Huu, et al. “SOCS2 Is Part of a Highly Prognostic 4-Gene Signature
in AML and Promotes Disease Aggressiveness.” Scientific Reports, vol. 9,
no. 1, 9139, Nature Publishing Group, 2019, doi:10.1038/s41598-019-45579-0.
short: C.H. Nguyen, T. Glüxam, A. Schlerka, K. Bauer, A.M. Grandits, H. Hackl, O.
Dovey, S. Zöchbauer-Müller, J.L. Cooper, G.S. Vassiliou, D. Stoiber, R. Wieser,
G. Heller, Scientific Reports 9 (2019).
date_created: 2019-07-07T21:59:19Z
date_published: 2019-06-24T00:00:00Z
date_updated: 2023-08-28T12:26:51Z
day: '24'
ddc:
- '576'
department:
- _id: PreCl
doi: 10.1038/s41598-019-45579-0
external_id:
isi:
- '000472597400042'
file:
- access_level: open_access
checksum: 3283522fffadf4b5fc8c7adfe3ba4564
content_type: application/pdf
creator: kschuh
date_created: 2019-07-08T15:15:28Z
date_updated: 2020-07-14T12:47:34Z
file_id: '6623'
file_name: nature_2019_Nguyen.pdf
file_size: 2017352
relation: main_file
file_date_updated: 2020-07-14T12:47:34Z
has_accepted_license: '1'
intvolume: ' 9'
isi: 1
issue: '1'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
quality_controlled: '1'
scopus_import: '1'
status: public
title: SOCS2 is part of a highly prognostic 4-gene signature in AML and promotes disease
aggressiveness
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: 9
year: '2019'
...
---
_id: '6608'
abstract:
- lang: eng
text: We use the canonical bases produced by the tri-partition algorithm in (Edelsbrunner
and Ölsböck, 2018) to open and close holes in a polyhedral complex, K. In a concrete
application, we consider the Delaunay mosaic of a finite set, we let K be an Alpha
complex, and we use the persistence diagram of the distance function to guide
the hole opening and closing operations. The dependences between the holes define
a partial order on the cells in K that characterizes what can and what cannot
be constructed using the operations. The relations in this partial order reveal
structural information about the underlying filtration of complexes beyond what
is expressed by the persistence diagram.
article_processing_charge: No
author:
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
- first_name: Katharina
full_name: Ölsböck, Katharina
id: 4D4AA390-F248-11E8-B48F-1D18A9856A87
last_name: Ölsböck
orcid: 0000-0002-4672-8297
citation:
ama: Edelsbrunner H, Ölsböck K. Holes and dependences in an ordered complex. Computer
Aided Geometric Design. 2019;73:1-15. doi:10.1016/j.cagd.2019.06.003
apa: Edelsbrunner, H., & Ölsböck, K. (2019). Holes and dependences in an ordered
complex. Computer Aided Geometric Design. Elsevier. https://doi.org/10.1016/j.cagd.2019.06.003
chicago: Edelsbrunner, Herbert, and Katharina Ölsböck. “Holes and Dependences in
an Ordered Complex.” Computer Aided Geometric Design. Elsevier, 2019. https://doi.org/10.1016/j.cagd.2019.06.003.
ieee: H. Edelsbrunner and K. Ölsböck, “Holes and dependences in an ordered complex,”
Computer Aided Geometric Design, vol. 73. Elsevier, pp. 1–15, 2019.
ista: Edelsbrunner H, Ölsböck K. 2019. Holes and dependences in an ordered complex.
Computer Aided Geometric Design. 73, 1–15.
mla: Edelsbrunner, Herbert, and Katharina Ölsböck. “Holes and Dependences in an
Ordered Complex.” Computer Aided Geometric Design, vol. 73, Elsevier, 2019,
pp. 1–15, doi:10.1016/j.cagd.2019.06.003.
short: H. Edelsbrunner, K. Ölsböck, Computer Aided Geometric Design 73 (2019) 1–15.
date_created: 2019-07-07T21:59:20Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2023-09-07T13:15:29Z
day: '01'
ddc:
- '000'
department:
- _id: HeEd
doi: 10.1016/j.cagd.2019.06.003
ec_funded: 1
external_id:
isi:
- '000485207800001'
file:
- access_level: open_access
checksum: 7c99be505dc7533257d42eb1830cef04
content_type: application/pdf
creator: kschuh
date_created: 2019-07-08T15:24:26Z
date_updated: 2020-07-14T12:47:34Z
file_id: '6624'
file_name: Elsevier_2019_Edelsbrunner.pdf
file_size: 2665013
relation: main_file
file_date_updated: 2020-07-14T12:47:34Z
has_accepted_license: '1'
intvolume: ' 73'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '08'
oa: 1
oa_version: Published Version
page: 1-15
project:
- _id: 266A2E9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '788183'
name: Alpha Shape Theory Extended
- _id: 2561EBF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I02979-N35
name: Persistence and stability of geometric complexes
publication: Computer Aided Geometric Design
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '7460'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Holes and dependences in an ordered complex
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: 73
year: '2019'
...
---
_id: '6609'
abstract:
- lang: eng
text: Mechanical systems facilitate the development of a hybrid quantum technology
comprising electrical, optical, atomic and acoustic degrees of freedom1, and entanglement
is essential to realize quantum-enabled devices. Continuous-variable entangled
fields—known as Einstein–Podolsky–Rosen (EPR) states—are spatially separated two-mode
squeezed states that can be used for quantum teleportation and quantum communication2.
In the optical domain, EPR states are typically generated using nondegenerate
optical amplifiers3, and at microwave frequencies Josephson circuits can serve
as a nonlinear medium4,5,6. An outstanding goal is to deterministically generate
and distribute entangled states with a mechanical oscillator, which requires a
carefully arranged balance between excitation, cooling and dissipation in an ultralow
noise environment. Here we observe stationary emission of path-entangled microwave
radiation from a parametrically driven 30-micrometre-long silicon nanostring oscillator,
squeezing the joint field operators of two thermal modes by 3.40 decibels below
the vacuum level. The motion of this micromechanical system correlates up to 50
photons per second per hertz, giving rise to a quantum discord that is robust
with respect to microwave noise7. Such generalized quantum correlations of separable
states are important for quantum-enhanced detection8 and provide direct evidence
of the non-classical nature of the mechanical oscillator without directly measuring
its state9. This noninvasive measurement scheme allows to infer information about
otherwise inaccessible objects, with potential implications for sensing, open-system
dynamics and fundamental tests of quantum gravity. In the future, similar on-chip
devices could be used to entangle subsystems on very different energy scales,
such as microwave and optical photons.
acknowledged_ssus:
- _id: NanoFab
article_processing_charge: No
arxiv: 1
author:
- first_name: Shabir
full_name: Barzanjeh, Shabir
id: 2D25E1F6-F248-11E8-B48F-1D18A9856A87
last_name: Barzanjeh
orcid: 0000-0003-0415-1423
- first_name: Elena
full_name: Redchenko, Elena
id: 2C21D6E8-F248-11E8-B48F-1D18A9856A87
last_name: Redchenko
- first_name: Matilda
full_name: Peruzzo, Matilda
id: 3F920B30-F248-11E8-B48F-1D18A9856A87
last_name: Peruzzo
orcid: 0000-0002-3415-4628
- first_name: Matthias
full_name: Wulf, Matthias
id: 45598606-F248-11E8-B48F-1D18A9856A87
last_name: Wulf
orcid: 0000-0001-6613-1378
- first_name: Dylan
full_name: Lewis, Dylan
last_name: Lewis
- first_name: Georg M
full_name: Arnold, Georg M
id: 3770C838-F248-11E8-B48F-1D18A9856A87
last_name: Arnold
orcid: 0000-0003-1397-7876
- first_name: Johannes M
full_name: Fink, Johannes M
id: 4B591CBA-F248-11E8-B48F-1D18A9856A87
last_name: Fink
orcid: 0000-0001-8112-028X
citation:
ama: Barzanjeh S, Redchenko E, Peruzzo M, et al. Stationary entangled radiation
from micromechanical motion. Nature. 2019;570:480-483. doi:10.1038/s41586-019-1320-2
apa: Barzanjeh, S., Redchenko, E., Peruzzo, M., Wulf, M., Lewis, D., Arnold, G.
M., & Fink, J. M. (2019). Stationary entangled radiation from micromechanical
motion. Nature. Nature Publishing Group. https://doi.org/10.1038/s41586-019-1320-2
chicago: Barzanjeh, Shabir, Elena Redchenko, Matilda Peruzzo, Matthias Wulf, Dylan
Lewis, Georg M Arnold, and Johannes M Fink. “Stationary Entangled Radiation from
Micromechanical Motion.” Nature. Nature Publishing Group, 2019. https://doi.org/10.1038/s41586-019-1320-2.
ieee: S. Barzanjeh et al., “Stationary entangled radiation from micromechanical
motion,” Nature, vol. 570. Nature Publishing Group, pp. 480–483, 2019.
ista: Barzanjeh S, Redchenko E, Peruzzo M, Wulf M, Lewis D, Arnold GM, Fink JM.
2019. Stationary entangled radiation from micromechanical motion. Nature. 570,
480–483.
mla: Barzanjeh, Shabir, et al. “Stationary Entangled Radiation from Micromechanical
Motion.” Nature, vol. 570, Nature Publishing Group, 2019, pp. 480–83, doi:10.1038/s41586-019-1320-2.
short: S. Barzanjeh, E. Redchenko, M. Peruzzo, M. Wulf, D. Lewis, G.M. Arnold, J.M.
Fink, Nature 570 (2019) 480–483.
date_created: 2019-07-07T21:59:20Z
date_published: 2019-06-27T00:00:00Z
date_updated: 2024-08-07T07:11:54Z
day: '27'
department:
- _id: JoFi
doi: 10.1038/s41586-019-1320-2
ec_funded: 1
external_id:
arxiv:
- '1809.05865'
isi:
- '000472860000042'
intvolume: ' 570'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1809.05865
month: '06'
oa: 1
oa_version: Preprint
page: 480-483
project:
- _id: 257EB838-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '732894'
name: Hybrid Optomechanical Technologies
- _id: 26336814-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '758053'
name: A Fiber Optic Transceiver for Superconducting Qubits
- _id: 258047B6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '707438'
name: 'Microwave-to-Optical Quantum Link: Quantum Teleportation and Quantum Illumination
with cavity Optomechanics'
- _id: 2671EB66-B435-11E9-9278-68D0E5697425
name: Coherent on-chip conversion of superconducting qubit signals from microwaves
to optical frequencies
publication: Nature
publication_status: published
publisher: Nature Publishing Group
quality_controlled: '1'
scopus_import: '1'
status: public
title: Stationary entangled radiation from micromechanical motion
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 570
year: '2019'
...
---
_id: '151'
abstract:
- lang: eng
text: We construct planar bi-Sobolev mappings whose local volume distortion is bounded
from below by a given function f∈Lp with p>1. More precisely, for any 1<q<(p+1)/2
we construct W1,q-bi-Sobolev maps with identity boundary conditions; for f∈L∞,
we provide bi-Lipschitz maps. The basic building block of our construction are
bi-Lipschitz maps which stretch a given compact subset of the unit square by a
given factor while preserving the boundary. The construction of these stretching
maps relies on a slight strengthening of the celebrated covering result of Alberti,
Csörnyei, and Preiss for measurable planar sets in the case of compact sets. We
apply our result to a model functional in nonlinear elasticity, the integrand
of which features fast blowup as the Jacobian determinant of the deformation becomes
small. For such functionals, the derivation of the equilibrium equations for minimizers
requires an additional regularization of test functions, which our maps provide.
article_processing_charge: No
arxiv: 1
author:
- first_name: Julian L
full_name: Fischer, Julian L
id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87
last_name: Fischer
orcid: 0000-0002-0479-558X
- first_name: Olivier
full_name: Kneuss, Olivier
last_name: Kneuss
citation:
ama: Fischer JL, Kneuss O. Bi-Sobolev solutions to the prescribed Jacobian inequality
in the plane with L p data and applications to nonlinear elasticity. Journal
of Differential Equations. 2019;266(1):257-311. doi:10.1016/j.jde.2018.07.045
apa: Fischer, J. L., & Kneuss, O. (2019). Bi-Sobolev solutions to the prescribed
Jacobian inequality in the plane with L p data and applications to nonlinear elasticity.
Journal of Differential Equations. Elsevier. https://doi.org/10.1016/j.jde.2018.07.045
chicago: Fischer, Julian L, and Olivier Kneuss. “Bi-Sobolev Solutions to the Prescribed
Jacobian Inequality in the Plane with L p Data and Applications to Nonlinear Elasticity.”
Journal of Differential Equations. Elsevier, 2019. https://doi.org/10.1016/j.jde.2018.07.045.
ieee: J. L. Fischer and O. Kneuss, “Bi-Sobolev solutions to the prescribed Jacobian
inequality in the plane with L p data and applications to nonlinear elasticity,”
Journal of Differential Equations, vol. 266, no. 1. Elsevier, pp. 257–311,
2019.
ista: Fischer JL, Kneuss O. 2019. Bi-Sobolev solutions to the prescribed Jacobian
inequality in the plane with L p data and applications to nonlinear elasticity.
Journal of Differential Equations. 266(1), 257–311.
mla: Fischer, Julian L., and Olivier Kneuss. “Bi-Sobolev Solutions to the Prescribed
Jacobian Inequality in the Plane with L p Data and Applications to Nonlinear Elasticity.”
Journal of Differential Equations, vol. 266, no. 1, Elsevier, 2019, pp.
257–311, doi:10.1016/j.jde.2018.07.045.
short: J.L. Fischer, O. Kneuss, Journal of Differential Equations 266 (2019) 257–311.
date_created: 2018-12-11T11:44:54Z
date_published: 2019-01-05T00:00:00Z
date_updated: 2023-09-08T13:25:35Z
day: '05'
department:
- _id: JuFi
doi: 10.1016/j.jde.2018.07.045
external_id:
arxiv:
- '1408.1587'
isi:
- '000449108500010'
intvolume: ' 266'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1408.1587
month: '01'
oa: 1
oa_version: Preprint
page: 257 - 311
publication: Journal of Differential Equations
publication_status: published
publisher: Elsevier
publist_id: '7770'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bi-Sobolev solutions to the prescribed Jacobian inequality in the plane with
L p data and applications to nonlinear elasticity
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 266
year: '2019'
...
---
_id: '13067'
abstract:
- lang: eng
text: Genetic incompatibilities contribute to reproductive isolation between many
diverging populations, but it is still unclear to what extent they play a role
if divergence happens with gene flow. In contact zones between the "Crab" and
"Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong
barriers to gene flow, while the role of postzygotic barriers due to selection
against hybrids remains unclear. High embryo abortion rates in this species could
indicate the presence of such barriers. Postzygotic barriers might include genetic
incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation,
both expected to be most pronounced in contact zones. In addition, embryo abortion
might reflect physiological stress on females and embryos independent of any genetic
stress. We examined all embryos of >500 females sampled outside and inside
contact zones of three populations in Sweden. Females' clutch size ranged from
0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean
12%). We described female genotypes by using a hybrid index based on hundreds
of SNPs differentiated between ecotypes with which we characterised female genotypes.
We also calculated female SNP heterozygosity and inversion karyotype. Clutch size
did not vary with female hybrid index and abortion rates were only weakly related
to hybrid index in two sites but not at all in a third site. No additional variation
in abortion rate was explained by female SNP heterozygosity, but increased female
inversion heterozygosity added slightly to increased abortion. Our results show
only weak and probably biologically insignificant postzygotic barriers contributing
to ecotype divergence and the high and variable abortion rates were marginally,
if at all, explained by hybrid index of females.
article_processing_charge: No
author:
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Zuzanna
full_name: Zagrodzka, Zuzanna
last_name: Zagrodzka
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger
full_name: Butlin, Roger
last_name: Butlin
citation:
ama: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. Data from: Is embryo
abortion a postzygotic barrier to gene flow between Littorina ecotypes? 2019.
doi:10.5061/DRYAD.TB2RBNZWK'
apa: 'Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., & Butlin, R.
(2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between
Littorina ecotypes? Dryad. https://doi.org/10.5061/DRYAD.TB2RBNZWK'
chicago: 'Johannesson, Kerstin, Zuzanna Zagrodzka, Rui Faria, Anja M Westram, and
Roger Butlin. “Data from: Is Embryo Abortion a Postzygotic Barrier to Gene Flow
between Littorina Ecotypes?” Dryad, 2019. https://doi.org/10.5061/DRYAD.TB2RBNZWK.'
ieee: 'K. Johannesson, Z. Zagrodzka, R. Faria, A. M. Westram, and R. Butlin, “Data
from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?” Dryad, 2019.'
ista: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. 2019. Data from:
Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?,
Dryad, 10.5061/DRYAD.TB2RBNZWK.'
mla: 'Johannesson, Kerstin, et al. Data from: Is Embryo Abortion a Postzygotic
Barrier to Gene Flow between Littorina Ecotypes? Dryad, 2019, doi:10.5061/DRYAD.TB2RBNZWK.'
short: K. Johannesson, Z. Zagrodzka, R. Faria, A.M. Westram, R. Butlin, (2019).
date_created: 2023-05-23T16:36:27Z
date_published: 2019-12-02T00:00:00Z
date_updated: 2023-09-06T14:48:57Z
day: '02'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5061/DRYAD.TB2RBNZWK
license: https://creativecommons.org/publicdomain/zero/1.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.tb2rbnzwk
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '7205'
relation: used_in_publication
status: public
status: public
title: 'Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?'
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '138'
abstract:
- lang: eng
text: Autoregulation is the direct modulation of gene expression by the product
of the corresponding gene. Autoregulation of bacterial gene expression has been
mostly studied at the transcriptional level, when a protein acts as the cognate
transcriptional repressor. A recent study investigating dynamics of the bacterial
toxin–antitoxin MazEF system has shown how autoregulation at both the transcriptional
and post-transcriptional levels affects the heterogeneity of Escherichia coli
populations. Toxin–antitoxin systems hold a crucial but still elusive part in
bacterial response to stress. This perspective highlights how these modules can
also serve as a great model system for investigating basic concepts in gene regulation.
However, as the genomic background and environmental conditions substantially
influence toxin activation, it is important to study (auto)regulation of toxin–antitoxin
systems in well-defined setups as well as in conditions that resemble the environmental
niche.
article_processing_charge: Yes (via OA deal)
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
citation:
ama: 'Nikolic N. Autoregulation of bacterial gene expression: lessons from the MazEF
toxin–antitoxin system. Current Genetics. 2019;65(1):133-138. doi:10.1007/s00294-018-0879-8'
apa: 'Nikolic, N. (2019). Autoregulation of bacterial gene expression: lessons from
the MazEF toxin–antitoxin system. Current Genetics. Springer. https://doi.org/10.1007/s00294-018-0879-8'
chicago: 'Nikolic, Nela. “Autoregulation of Bacterial Gene Expression: Lessons from
the MazEF Toxin–Antitoxin System.” Current Genetics. Springer, 2019. https://doi.org/10.1007/s00294-018-0879-8.'
ieee: 'N. Nikolic, “Autoregulation of bacterial gene expression: lessons from the
MazEF toxin–antitoxin system,” Current Genetics, vol. 65, no. 1. Springer,
pp. 133–138, 2019.'
ista: 'Nikolic N. 2019. Autoregulation of bacterial gene expression: lessons from
the MazEF toxin–antitoxin system. Current Genetics. 65(1), 133–138.'
mla: 'Nikolic, Nela. “Autoregulation of Bacterial Gene Expression: Lessons from
the MazEF Toxin–Antitoxin System.” Current Genetics, vol. 65, no. 1, Springer,
2019, pp. 133–38, doi:10.1007/s00294-018-0879-8.'
short: N. Nikolic, Current Genetics 65 (2019) 133–138.
date_created: 2018-12-11T11:44:50Z
date_published: 2019-02-01T00:00:00Z
date_updated: 2023-09-08T13:23:42Z
day: '01'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.1007/s00294-018-0879-8
ec_funded: 1
external_id:
isi:
- '000456958800017'
file:
- access_level: open_access
checksum: 6779708b0b632a1a6ed28c56f5161142
content_type: application/pdf
creator: dernst
date_created: 2019-02-06T07:50:58Z
date_updated: 2020-07-14T12:44:47Z
file_id: '5930'
file_name: 2019_CurrentGenetics_Nikolic.pdf
file_size: 776399
relation: main_file
file_date_updated: 2020-07-14T12:44:47Z
has_accepted_license: '1'
intvolume: ' 65'
isi: 1
issue: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: 133-138
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Current Genetics
publication_status: published
publisher: Springer
publist_id: '7785'
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin
system'
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 65
year: '2019'
...
---
_id: '14184'
abstract:
- lang: eng
text: "Learning disentangled representations is considered a cornerstone problem
in\r\nrepresentation learning. Recently, Locatello et al. (2019) demonstrated
that\r\nunsupervised disentanglement learning without inductive biases is theoretically\r\nimpossible
and that existing inductive biases and unsupervised methods do not\r\nallow to
consistently learn disentangled representations. However, in many\r\npractical
settings, one might have access to a limited amount of supervision,\r\nfor example
through manual labeling of (some) factors of variation in a few\r\ntraining examples.
In this paper, we investigate the impact of such supervision\r\non state-of-the-art
disentanglement methods and perform a large scale study,\r\ntraining over 52000
models under well-defined and reproducible experimental\r\nconditions. We observe
that a small number of labeled examples (0.01--0.5\\% of\r\nthe data set), with
potentially imprecise and incomplete labels, is sufficient\r\nto perform model
selection on state-of-the-art unsupervised models. Further, we\r\ninvestigate
the benefit of incorporating supervision into the training process.\r\nOverall,
we empirically validate that with little and imprecise supervision it\r\nis possible
to reliably learn disentangled representations."
article_processing_charge: No
arxiv: 1
author:
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Michael
full_name: Tschannen, Michael
last_name: Tschannen
- first_name: Stefan
full_name: Bauer, Stefan
last_name: Bauer
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Olivier
full_name: Bachem, Olivier
last_name: Bachem
citation:
ama: 'Locatello F, Tschannen M, Bauer S, Rätsch G, Schölkopf B, Bachem O. Disentangling
factors of variation using few labels. In: 8th International Conference on
Learning Representations. ; 2019.'
apa: Locatello, F., Tschannen, M., Bauer, S., Rätsch, G., Schölkopf, B., & Bachem,
O. (2019). Disentangling factors of variation using few labels. In 8th International
Conference on Learning Representations. Virtual.
chicago: Locatello, Francesco, Michael Tschannen, Stefan Bauer, Gunnar Rätsch, Bernhard
Schölkopf, and Olivier Bachem. “Disentangling Factors of Variation Using Few Labels.”
In 8th International Conference on Learning Representations, 2019.
ieee: F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, and O. Bachem,
“Disentangling factors of variation using few labels,” in 8th International
Conference on Learning Representations, Virtual, 2019.
ista: 'Locatello F, Tschannen M, Bauer S, Rätsch G, Schölkopf B, Bachem O. 2019.
Disentangling factors of variation using few labels. 8th International Conference
on Learning Representations. ICLR: International Conference on Learning Representations.'
mla: Locatello, Francesco, et al. “Disentangling Factors of Variation Using Few
Labels.” 8th International Conference on Learning Representations, 2019.
short: F. Locatello, M. Tschannen, S. Bauer, G. Rätsch, B. Schölkopf, O. Bachem,
in:, 8th International Conference on Learning Representations, 2019.
conference:
end_date: 2020-05-01
location: Virtual
name: 'ICLR: International Conference on Learning Representations'
start_date: 2020-04-26
date_created: 2023-08-22T14:06:37Z
date_published: 2019-12-20T00:00:00Z
date_updated: 2023-09-12T07:01:34Z
day: '20'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1905.01258'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1905.01258
month: '12'
oa: 1
oa_version: Preprint
publication: 8th International Conference on Learning Representations
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Disentangling factors of variation using few labels
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '14189'
abstract:
- lang: eng
text: "We consider the problem of recovering a common latent source with independent\r\ncomponents
from multiple views. This applies to settings in which a variable is\r\nmeasured
with multiple experimental modalities, and where the goal is to\r\nsynthesize
the disparate measurements into a single unified representation. We\r\nconsider
the case that the observed views are a nonlinear mixing of\r\ncomponent-wise corruptions
of the sources. When the views are considered\r\nseparately, this reduces to nonlinear
Independent Component Analysis (ICA) for\r\nwhich it is provably impossible to
undo the mixing. We present novel\r\nidentifiability proofs that this is possible
when the multiple views are\r\nconsidered jointly, showing that the mixing can
theoretically be undone using\r\nfunction approximators such as deep neural networks.
In contrast to known\r\nidentifiability results for nonlinear ICA, we prove that
independent latent\r\nsources with arbitrary mixing can be recovered as long as
multiple,\r\nsufficiently different noisy views are available."
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Luigi
full_name: Gresele, Luigi
last_name: Gresele
- first_name: Paul K.
full_name: Rubenstein, Paul K.
last_name: Rubenstein
- first_name: Arash
full_name: Mehrjou, Arash
last_name: Mehrjou
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
citation:
ama: 'Gresele L, Rubenstein PK, Mehrjou A, Locatello F, Schölkopf B. The incomplete
Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA. In:
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence.
Vol 115. ML Research Press; 2019:217-227.'
apa: 'Gresele, L., Rubenstein, P. K., Mehrjou, A., Locatello, F., & Schölkopf,
B. (2019). The incomplete Rosetta Stone problem: Identifiability results for multi-view
nonlinear ICA. In Proceedings of the 35th Conference on Uncertainty in Artificial
Intelligence (Vol. 115, pp. 217–227). Tel Aviv, Israel: ML Research Press.'
chicago: 'Gresele, Luigi, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello,
and Bernhard Schölkopf. “The Incomplete Rosetta Stone Problem: Identifiability
Results for Multi-View Nonlinear ICA.” In Proceedings of the 35th Conference
on Uncertainty in Artificial Intelligence, 115:217–27. ML Research Press,
2019.'
ieee: 'L. Gresele, P. K. Rubenstein, A. Mehrjou, F. Locatello, and B. Schölkopf,
“The incomplete Rosetta Stone problem: Identifiability results for multi-view
nonlinear ICA,” in Proceedings of the 35th Conference on Uncertainty in Artificial
Intelligence, Tel Aviv, Israel, 2019, vol. 115, pp. 217–227.'
ista: 'Gresele L, Rubenstein PK, Mehrjou A, Locatello F, Schölkopf B. 2019. The
incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear
ICA. Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence.
UAI: Uncertainty in Artificial Intelligence, PMLR, vol. 115, 217–227.'
mla: 'Gresele, Luigi, et al. “The Incomplete Rosetta Stone Problem: Identifiability
Results for Multi-View Nonlinear ICA.” Proceedings of the 35th Conference on
Uncertainty in Artificial Intelligence, vol. 115, ML Research Press, 2019,
pp. 217–27.'
short: L. Gresele, P.K. Rubenstein, A. Mehrjou, F. Locatello, B. Schölkopf, in:,
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence,
ML Research Press, 2019, pp. 217–227.
conference:
end_date: 2019-07-25
location: Tel Aviv, Israel
name: 'UAI: Uncertainty in Artificial Intelligence'
start_date: 2019-07-22
date_created: 2023-08-22T14:08:35Z
date_published: 2019-05-16T00:00:00Z
date_updated: 2023-09-12T08:07:38Z
day: '16'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1905.06642'
intvolume: ' 115'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1905.06642
month: '05'
oa: 1
oa_version: Preprint
page: 217-227
publication: Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The incomplete Rosetta Stone problem: Identifiability results for multi-view
nonlinear ICA'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 115
year: '2019'
...
---
_id: '14190'
abstract:
- lang: eng
text: "Learning meaningful and compact representations with disentangled semantic\r\naspects
is considered to be of key importance in representation learning. Since\r\nreal-world
data is notoriously costly to collect, many recent state-of-the-art\r\ndisentanglement
models have heavily relied on synthetic toy data-sets. In this\r\npaper, we propose
a novel data-set which consists of over one million images of\r\nphysical 3D objects
with seven factors of variation, such as object color,\r\nshape, size and position.
In order to be able to control all the factors of\r\nvariation precisely, we built
an experimental platform where the objects are\r\nbeing moved by a robotic arm.
In addition, we provide two more datasets which\r\nconsist of simulations of the
experimental setup. These datasets provide for\r\nthe first time the possibility
to systematically investigate how well different\r\ndisentanglement methods perform
on real data in comparison to simulation, and\r\nhow simulated data can be leveraged
to build better representations of the real\r\nworld. We provide a first experimental
study of these questions and our results\r\nindicate that learned models transfer
poorly, but that model and hyperparameter\r\nselection is an effective means of
transferring information to the real world."
article_processing_charge: No
arxiv: 1
author:
- first_name: Muhammad Waleed
full_name: Gondal, Muhammad Waleed
last_name: Gondal
- first_name: Manuel
full_name: Wüthrich, Manuel
last_name: Wüthrich
- first_name: Đorđe
full_name: Miladinović, Đorđe
last_name: Miladinović
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Martin
full_name: Breidt, Martin
last_name: Breidt
- first_name: Valentin
full_name: Volchkov, Valentin
last_name: Volchkov
- first_name: Joel
full_name: Akpo, Joel
last_name: Akpo
- first_name: Olivier
full_name: Bachem, Olivier
last_name: Bachem
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Stefan
full_name: Bauer, Stefan
last_name: Bauer
citation:
ama: 'Gondal MW, Wüthrich M, Miladinović Đ, et al. On the transfer of inductive
bias from simulation to the real world: a new disentanglement dataset. In: Advances
in Neural Information Processing Systems. Vol 32. ; 2019.'
apa: 'Gondal, M. W., Wüthrich, M., Miladinović, Đ., Locatello, F., Breidt, M., Volchkov,
V., … Bauer, S. (2019). On the transfer of inductive bias from simulation to the
real world: a new disentanglement dataset. In Advances in Neural Information
Processing Systems (Vol. 32). Vancouver, Canada.'
chicago: 'Gondal, Muhammad Waleed, Manuel Wüthrich, Đorđe Miladinović, Francesco
Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard
Schölkopf, and Stefan Bauer. “On the Transfer of Inductive Bias from Simulation
to the Real World: A New Disentanglement Dataset.” In Advances in Neural Information
Processing Systems, Vol. 32, 2019.'
ieee: 'M. W. Gondal et al., “On the transfer of inductive bias from simulation
to the real world: a new disentanglement dataset,” in Advances in Neural Information
Processing Systems, Vancouver, Canada, 2019, vol. 32.'
ista: 'Gondal MW, Wüthrich M, Miladinović Đ, Locatello F, Breidt M, Volchkov V,
Akpo J, Bachem O, Schölkopf B, Bauer S. 2019. On the transfer of inductive bias
from simulation to the real world: a new disentanglement dataset. Advances in
Neural Information Processing Systems. NeurIPS: Neural Information Processing
Systems vol. 32.'
mla: 'Gondal, Muhammad Waleed, et al. “On the Transfer of Inductive Bias from Simulation
to the Real World: A New Disentanglement Dataset.” Advances in Neural Information
Processing Systems, vol. 32, 2019.'
short: M.W. Gondal, M. Wüthrich, Đ. Miladinović, F. Locatello, M. Breidt, V. Volchkov,
J. Akpo, O. Bachem, B. Schölkopf, S. Bauer, in:, Advances in Neural Information
Processing Systems, 2019.
conference:
end_date: 2019-12-14
location: Vancouver, Canada
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2019-12-08
date_created: 2023-08-22T14:09:13Z
date_published: 2019-06-07T00:00:00Z
date_updated: 2023-09-13T09:46:38Z
day: '07'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1906.03292'
intvolume: ' 32'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1906.03292
month: '06'
oa: 1
oa_version: Preprint
publication: Advances in Neural Information Processing Systems
publication_identifier:
isbn:
- '9781713807933'
publication_status: published
quality_controlled: '1'
status: public
title: 'On the transfer of inductive bias from simulation to the real world: a new
disentanglement dataset'
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 32
year: '2019'
...
---
_id: '14191'
abstract:
- lang: eng
text: A broad class of convex optimization problems can be formulated as a semidefinite
program (SDP), minimization of a convex function over the positive-semidefinite
cone subject to some affine constraints. The majority of classical SDP solvers
are designed for the deterministic setting where problem data is readily available.
In this setting, generalized conditional gradient methods (aka Frank-Wolfe-type
methods) provide scalable solutions by leveraging the so-called linear minimization
oracle instead of the projection onto the semidefinite cone. Most problems in
machine learning and modern engineering applications, however, contain some degree
of stochasticity. In this work, we propose the first conditional-gradient-type
method for solving stochastic optimization problems under affine constraints.
Our method guarantees O(k−1/3) convergence rate in expectation on the objective
residual and O(k−5/12) on the feasibility gap.
article_processing_charge: No
arxiv: 1
author:
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Alp
full_name: Yurtsever, Alp
last_name: Yurtsever
- first_name: Olivier
full_name: Fercoq, Olivier
last_name: Fercoq
- first_name: Volkan
full_name: Cevher, Volkan
last_name: Cevher
citation:
ama: 'Locatello F, Yurtsever A, Fercoq O, Cevher V. Stochastic Frank-Wolfe for composite
convex minimization. In: Advances in Neural Information Processing Systems.
Vol 32. ; 2019:14291–14301.'
apa: Locatello, F., Yurtsever, A., Fercoq, O., & Cevher, V. (2019). Stochastic
Frank-Wolfe for composite convex minimization. In Advances in Neural Information
Processing Systems (Vol. 32, pp. 14291–14301). Vancouver, Canada.
chicago: Locatello, Francesco, Alp Yurtsever, Olivier Fercoq, and Volkan Cevher.
“Stochastic Frank-Wolfe for Composite Convex Minimization.” In Advances in
Neural Information Processing Systems, 32:14291–14301, 2019.
ieee: F. Locatello, A. Yurtsever, O. Fercoq, and V. Cevher, “Stochastic Frank-Wolfe
for composite convex minimization,” in Advances in Neural Information Processing
Systems, Vancouver, Canada, 2019, vol. 32, pp. 14291–14301.
ista: 'Locatello F, Yurtsever A, Fercoq O, Cevher V. 2019. Stochastic Frank-Wolfe
for composite convex minimization. Advances in Neural Information Processing Systems.
NeurIPS: Neural Information Processing Systems vol. 32, 14291–14301.'
mla: Locatello, Francesco, et al. “Stochastic Frank-Wolfe for Composite Convex Minimization.”
Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14291–14301.
short: F. Locatello, A. Yurtsever, O. Fercoq, V. Cevher, in:, Advances in Neural
Information Processing Systems, 2019, pp. 14291–14301.
conference:
end_date: 2019-12-14
location: Vancouver, Canada
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2019-12-08
date_created: 2023-08-22T14:09:35Z
date_published: 2019-12-29T00:00:00Z
date_updated: 2023-09-12T08:48:45Z
day: '29'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1901.10348'
intvolume: ' 32'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1901.10348
month: '12'
oa: 1
oa_version: Preprint
page: 14291–14301
publication: Advances in Neural Information Processing Systems
publication_identifier:
isbn:
- '9781713807933'
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: Stochastic Frank-Wolfe for composite convex minimization
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 32
year: '2019'
...
---
_id: '14193'
abstract:
- lang: eng
text: "A disentangled representation encodes information about the salient factors\r\nof
variation in the data independently. Although it is often argued that this\r\nrepresentational
format is useful in learning to solve many real-world\r\ndown-stream tasks, there
is little empirical evidence that supports this claim.\r\nIn this paper, we conduct
a large-scale study that investigates whether\r\ndisentangled representations
are more suitable for abstract reasoning tasks.\r\nUsing two new tasks similar
to Raven's Progressive Matrices, we evaluate the\r\nusefulness of the representations
learned by 360 state-of-the-art unsupervised\r\ndisentanglement models. Based
on these representations, we train 3600 abstract\r\nreasoning models and observe
that disentangled representations do in fact lead\r\nto better down-stream performance.
In particular, they enable quicker learning\r\nusing fewer samples."
article_processing_charge: No
arxiv: 1
author:
- first_name: Sjoerd van
full_name: Steenkiste, Sjoerd van
last_name: Steenkiste
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Jürgen
full_name: Schmidhuber, Jürgen
last_name: Schmidhuber
- first_name: Olivier
full_name: Bachem, Olivier
last_name: Bachem
citation:
ama: 'Steenkiste S van, Locatello F, Schmidhuber J, Bachem O. Are disentangled representations
helpful for abstract visual reasoning? In: Advances in Neural Information Processing
Systems. Vol 32. ; 2019.'
apa: Steenkiste, S. van, Locatello, F., Schmidhuber, J., & Bachem, O. (2019).
Are disentangled representations helpful for abstract visual reasoning? In Advances
in Neural Information Processing Systems (Vol. 32). Vancouver, Canada.
chicago: Steenkiste, Sjoerd van, Francesco Locatello, Jürgen Schmidhuber, and Olivier
Bachem. “Are Disentangled Representations Helpful for Abstract Visual Reasoning?”
In Advances in Neural Information Processing Systems, Vol. 32, 2019.
ieee: S. van Steenkiste, F. Locatello, J. Schmidhuber, and O. Bachem, “Are disentangled
representations helpful for abstract visual reasoning?,” in Advances in Neural
Information Processing Systems, Vancouver, Canada, 2019, vol. 32.
ista: 'Steenkiste S van, Locatello F, Schmidhuber J, Bachem O. 2019. Are disentangled
representations helpful for abstract visual reasoning? Advances in Neural Information
Processing Systems. NeurIPS: Neural Information Processing Systems vol. 32.'
mla: Steenkiste, Sjoerd van, et al. “Are Disentangled Representations Helpful for
Abstract Visual Reasoning?” Advances in Neural Information Processing Systems,
vol. 32, 2019.
short: S. van Steenkiste, F. Locatello, J. Schmidhuber, O. Bachem, in:, Advances
in Neural Information Processing Systems, 2019.
conference:
end_date: 2019-12-14
location: Vancouver, Canada
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2019-12-08
date_created: 2023-08-22T14:09:53Z
date_published: 2019-05-29T00:00:00Z
date_updated: 2023-09-12T09:02:43Z
day: '29'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1905.12506'
intvolume: ' 32'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.1905.12506
month: '05'
oa: 1
oa_version: Preprint
publication: Advances in Neural Information Processing Systems
publication_identifier:
isbn:
- '9781713807933'
publication_status: published
quality_controlled: '1'
status: public
title: Are disentangled representations helpful for abstract visual reasoning?
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 32
year: '2019'
...
---
_id: '14197'
abstract:
- lang: eng
text: "Recently there has been a significant interest in learning disentangled\r\nrepresentations,
as they promise increased interpretability, generalization to\r\nunseen scenarios
and faster learning on downstream tasks. In this paper, we\r\ninvestigate the
usefulness of different notions of disentanglement for\r\nimproving the fairness
of downstream prediction tasks based on representations.\r\nWe consider the setting
where the goal is to predict a target variable based on\r\nthe learned representation
of high-dimensional observations (such as images)\r\nthat depend on both the target
variable and an \\emph{unobserved} sensitive\r\nvariable. We show that in this
setting both the optimal and empirical\r\npredictions can be unfair, even if the
target variable and the sensitive\r\nvariable are independent. Analyzing the representations
of more than\r\n\\num{12600} trained state-of-the-art disentangled models, we
observe that\r\nseveral disentanglement scores are consistently correlated with
increased\r\nfairness, suggesting that disentanglement may be a useful property
to encourage\r\nfairness when sensitive variables are not observed."
article_processing_charge: No
arxiv: 1
author:
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Gabriele
full_name: Abbati, Gabriele
last_name: Abbati
- first_name: Tom
full_name: Rainforth, Tom
last_name: Rainforth
- first_name: Stefan
full_name: Bauer, Stefan
last_name: Bauer
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Olivier
full_name: Bachem, Olivier
last_name: Bachem
citation:
ama: 'Locatello F, Abbati G, Rainforth T, Bauer S, Schölkopf B, Bachem O. On the
fairness of disentangled representations. In: Advances in Neural Information
Processing Systems. Vol 32. ; 2019:14611–14624.'
apa: Locatello, F., Abbati, G., Rainforth, T., Bauer, S., Schölkopf, B., & Bachem,
O. (2019). On the fairness of disentangled representations. In Advances in
Neural Information Processing Systems (Vol. 32, pp. 14611–14624). Vancouver,
Canada.
chicago: Locatello, Francesco, Gabriele Abbati, Tom Rainforth, Stefan Bauer, Bernhard
Schölkopf, and Olivier Bachem. “On the Fairness of Disentangled Representations.”
In Advances in Neural Information Processing Systems, 32:14611–14624, 2019.
ieee: F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, and O. Bachem,
“On the fairness of disentangled representations,” in Advances in Neural Information
Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 14611–14624.
ista: 'Locatello F, Abbati G, Rainforth T, Bauer S, Schölkopf B, Bachem O. 2019.
On the fairness of disentangled representations. Advances in Neural Information
Processing Systems. NeurIPS: Neural Information Processing Systems vol. 32, 14611–14624.'
mla: Locatello, Francesco, et al. “On the Fairness of Disentangled Representations.”
Advances in Neural Information Processing Systems, vol. 32, 2019, pp. 14611–14624.
short: F. Locatello, G. Abbati, T. Rainforth, S. Bauer, B. Schölkopf, O. Bachem,
in:, Advances in Neural Information Processing Systems, 2019, pp. 14611–14624.
conference:
end_date: 2019-12-14
location: Vancouver, Canada
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2019-12-08
date_created: 2023-08-22T14:12:28Z
date_published: 2019-12-08T00:00:00Z
date_updated: 2023-09-12T09:37:22Z
day: '08'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1905.13662'
intvolume: ' 32'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1905.13662
month: '12'
oa: 1
oa_version: Preprint
page: 14611–14624
publication: Advances in Neural Information Processing Systems
publication_identifier:
isbn:
- '9781713807933'
publication_status: published
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the fairness of disentangled representations
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 32
year: '2019'
...
---
_id: '14200'
abstract:
- lang: eng
text: "The key idea behind the unsupervised learning of disentangled representations\r\nis
that real-world data is generated by a few explanatory factors of variation\r\nwhich
can be recovered by unsupervised learning algorithms. In this paper, we\r\nprovide
a sober look at recent progress in the field and challenge some common\r\nassumptions.
We first theoretically show that the unsupervised learning of\r\ndisentangled
representations is fundamentally impossible without inductive\r\nbiases on both
the models and the data. Then, we train more than 12000 models\r\ncovering most
prominent methods and evaluation metrics in a reproducible\r\nlarge-scale experimental
study on seven different data sets. We observe that\r\nwhile the different methods
successfully enforce properties ``encouraged'' by\r\nthe corresponding losses,
well-disentangled models seemingly cannot be\r\nidentified without supervision.
Furthermore, increased disentanglement does not\r\nseem to lead to a decreased
sample complexity of learning for downstream tasks.\r\nOur results suggest that
future work on disentanglement learning should be\r\nexplicit about the role of
inductive biases and (implicit) supervision,\r\ninvestigate concrete benefits
of enforcing disentanglement of the learned\r\nrepresentations, and consider a
reproducible experimental setup covering\r\nseveral data sets."
article_processing_charge: No
arxiv: 1
author:
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Stefan
full_name: Bauer, Stefan
last_name: Bauer
- first_name: Mario
full_name: Lucic, Mario
last_name: Lucic
- first_name: Gunnar
full_name: Rätsch, Gunnar
last_name: Rätsch
- first_name: Sylvain
full_name: Gelly, Sylvain
last_name: Gelly
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Olivier
full_name: Bachem, Olivier
last_name: Bachem
citation:
ama: 'Locatello F, Bauer S, Lucic M, et al. Challenging common assumptions in the
unsupervised learning of disentangled representations. In: Proceedings of the
36th International Conference on Machine Learning. Vol 97. ML Research Press;
2019:4114-4124.'
apa: 'Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B.,
& Bachem, O. (2019). Challenging common assumptions in the unsupervised learning
of disentangled representations. In Proceedings of the 36th International Conference
on Machine Learning (Vol. 97, pp. 4114–4124). Long Beach, CA, United States:
ML Research Press.'
chicago: Locatello, Francesco, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain
Gelly, Bernhard Schölkopf, and Olivier Bachem. “Challenging Common Assumptions
in the Unsupervised Learning of Disentangled Representations.” In Proceedings
of the 36th International Conference on Machine Learning, 97:4114–24. ML Research
Press, 2019.
ieee: F. Locatello et al., “Challenging common assumptions in the unsupervised
learning of disentangled representations,” in Proceedings of the 36th International
Conference on Machine Learning, Long Beach, CA, United States, 2019, vol.
97, pp. 4114–4124.
ista: Locatello F, Bauer S, Lucic M, Rätsch G, Gelly S, Schölkopf B, Bachem O. 2019.
Challenging common assumptions in the unsupervised learning of disentangled representations.
Proceedings of the 36th International Conference on Machine Learning. International
Conference on Machine Learning vol. 97, 4114–4124.
mla: Locatello, Francesco, et al. “Challenging Common Assumptions in the Unsupervised
Learning of Disentangled Representations.” Proceedings of the 36th International
Conference on Machine Learning, vol. 97, ML Research Press, 2019, pp. 4114–24.
short: F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem,
in:, Proceedings of the 36th International Conference on Machine Learning, ML
Research Press, 2019, pp. 4114–4124.
conference:
end_date: 2019-06-15
location: Long Beach, CA, United States
name: International Conference on Machine Learning
start_date: 2019-06-10
date_created: 2023-08-22T14:13:08Z
date_published: 2019-06-09T00:00:00Z
date_updated: 2023-09-13T07:45:30Z
day: '09'
department:
- _id: FrLo
extern: '1'
external_id:
arxiv:
- '1811.12359'
intvolume: ' 97'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1811.12359
month: '06'
oa: 1
oa_version: Preprint
page: 4114-4124
publication: Proceedings of the 36th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Challenging common assumptions in the unsupervised learning of disentangled
representations
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 97
year: '2019'
...