---
_id: '9197'
abstract:
- lang: eng
text: In this paper we introduce and study all-pay bidding games, a class of two
player, zero-sum games on graphs. The game proceeds as follows. We place a token
on some vertex in the graph and assign budgets to the two players. Each turn,
each player submits a sealed legal bid (non-negative and below their remaining
budget), which is deducted from their budget and the highest bidder moves the
token onto an adjacent vertex. The game ends once a sink is reached, and Player
1 pays Player 2 the outcome that is associated with the sink. The players attempt
to maximize their expected outcome. Our games model settings where effort (of
no inherent value) needs to be invested in an ongoing and stateful manner. On
the negative side, we show that even in simple games on DAGs, optimal strategies
may require a distribution over bids with infinite support. A central quantity
in bidding games is the ratio of the players budgets. On the positive side, we
show a simple FPTAS for DAGs, that, for each budget ratio, outputs an approximation
for the optimal strategy for that ratio. We also implement it, show that it performs
well, and suggests interesting properties of these games. Then, given an outcome
c, we show an algorithm for finding the necessary and sufficient initial ratio
for guaranteeing outcome c with probability 1 and a strategy ensuring such. Finally,
while the general case has not previously been studied, solving the specific game
in which Player 1 wins iff he wins the first two auctions, has been long stated
as an open question, which we solve.
acknowledgement: This research was supported by the Austrian Science Fund (FWF) under
grants S11402-N23 (RiSE/SHiNE), Z211-N23 (Wittgenstein Award), and M 2369-N33 (Meitner
fellowship).
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
citation:
ama: Avni G, Ibsen-Jensen R, Tkadlec J. All-pay bidding games on graphs. Proceedings
of the AAAI Conference on Artificial Intelligence. 2020;34(02):1798-1805.
doi:10.1609/aaai.v34i02.5546
apa: 'Avni, G., Ibsen-Jensen, R., & Tkadlec, J. (2020). All-pay bidding games
on graphs. Proceedings of the AAAI Conference on Artificial Intelligence.
New York, NY, United States: Association for the Advancement of Artificial Intelligence.
https://doi.org/10.1609/aaai.v34i02.5546'
chicago: Avni, Guy, Rasmus Ibsen-Jensen, and Josef Tkadlec. “All-Pay Bidding Games
on Graphs.” Proceedings of the AAAI Conference on Artificial Intelligence.
Association for the Advancement of Artificial Intelligence, 2020. https://doi.org/10.1609/aaai.v34i02.5546.
ieee: G. Avni, R. Ibsen-Jensen, and J. Tkadlec, “All-pay bidding games on graphs,”
Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34,
no. 02. Association for the Advancement of Artificial Intelligence, pp. 1798–1805,
2020.
ista: Avni G, Ibsen-Jensen R, Tkadlec J. 2020. All-pay bidding games on graphs.
Proceedings of the AAAI Conference on Artificial Intelligence. 34(02), 1798–1805.
mla: Avni, Guy, et al. “All-Pay Bidding Games on Graphs.” Proceedings of the
AAAI Conference on Artificial Intelligence, vol. 34, no. 02, Association for
the Advancement of Artificial Intelligence, 2020, pp. 1798–805, doi:10.1609/aaai.v34i02.5546.
short: G. Avni, R. Ibsen-Jensen, J. Tkadlec, Proceedings of the AAAI Conference
on Artificial Intelligence 34 (2020) 1798–1805.
conference:
end_date: 2020-02-12
location: New York, NY, United States
name: 'AAAI: Conference on Artificial Intelligence'
start_date: 2020-02-07
date_created: 2021-02-25T09:05:18Z
date_published: 2020-04-03T00:00:00Z
date_updated: 2023-09-05T12:40:00Z
day: '03'
department:
- _id: ToHe
- _id: KrCh
doi: 10.1609/aaai.v34i02.5546
external_id:
arxiv:
- '1911.08360'
intvolume: ' 34'
issue: '02'
language:
- iso: eng
month: '04'
oa_version: Preprint
page: 1798-1805
project:
- _id: 25F2ACDE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 264B3912-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02369
name: Formal Methods meets Algorithmic Game Theory
publication: Proceedings of the AAAI Conference on Artificial Intelligence
publication_identifier:
eissn:
- 2374-3468
isbn:
- '9781577358350'
issn:
- 2159-5399
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence
quality_controlled: '1'
scopus_import: '1'
status: public
title: All-pay bidding games on graphs
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 34
year: '2020'
...
---
_id: '9198'
abstract:
- lang: eng
text: "The optimization of multilayer neural networks typically leads to a solution\r\nwith
zero training error, yet the landscape can exhibit spurious local minima\r\nand
the minima can be disconnected. In this paper, we shed light on this\r\nphenomenon:
we show that the combination of stochastic gradient descent (SGD)\r\nand over-parameterization
makes the landscape of multilayer neural networks\r\napproximately connected and
thus more favorable to optimization. More\r\nspecifically, we prove that SGD solutions
are connected via a piecewise linear\r\npath, and the increase in loss along this
path vanishes as the number of\r\nneurons grows large. This result is a consequence
of the fact that the\r\nparameters found by SGD are increasingly dropout stable
as the network becomes\r\nwider. We show that, if we remove part of the neurons
(and suitably rescale the\r\nremaining ones), the change in loss is independent
of the total number of\r\nneurons, and it depends only on how many neurons are
left. Our results exhibit\r\na mild dependence on the input dimension: they are
dimension-free for two-layer\r\nnetworks and depend linearly on the dimension
for multilayer networks. We\r\nvalidate our theoretical findings with numerical
experiments for different\r\narchitectures and classification tasks."
acknowledgement: M. Mondelli was partially supported by the 2019 LopezLoreta Prize.
The authors thank Phan-Minh Nguyen for helpful discussions and the IST Distributed
Algorithms and Systems Lab for providing computational resources.
article_processing_charge: No
arxiv: 1
author:
- first_name: Alexander
full_name: Shevchenko, Alexander
last_name: Shevchenko
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
citation:
ama: 'Shevchenko A, Mondelli M. Landscape connectivity and dropout stability of
SGD solutions for over-parameterized neural networks. In: Proceedings of the
37th International Conference on Machine Learning. Vol 119. ML Research Press;
2020:8773-8784.'
apa: Shevchenko, A., & Mondelli, M. (2020). Landscape connectivity and dropout
stability of SGD solutions for over-parameterized neural networks. In Proceedings
of the 37th International Conference on Machine Learning (Vol. 119, pp. 8773–8784).
ML Research Press.
chicago: Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and
Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In
Proceedings of the 37th International Conference on Machine Learning, 119:8773–84.
ML Research Press, 2020.
ieee: A. Shevchenko and M. Mondelli, “Landscape connectivity and dropout stability
of SGD solutions for over-parameterized neural networks,” in Proceedings of
the 37th International Conference on Machine Learning, 2020, vol. 119, pp.
8773–8784.
ista: Shevchenko A, Mondelli M. 2020. Landscape connectivity and dropout stability
of SGD solutions for over-parameterized neural networks. Proceedings of the 37th
International Conference on Machine Learning. vol. 119, 8773–8784.
mla: Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and Dropout
Stability of SGD Solutions for Over-Parameterized Neural Networks.” Proceedings
of the 37th International Conference on Machine Learning, vol. 119, ML Research
Press, 2020, pp. 8773–84.
short: A. Shevchenko, M. Mondelli, in:, Proceedings of the 37th International Conference
on Machine Learning, ML Research Press, 2020, pp. 8773–8784.
date_created: 2021-02-25T09:36:22Z
date_published: 2020-07-13T00:00:00Z
date_updated: 2024-09-10T13:03:19Z
day: '13'
ddc:
- '000'
department:
- _id: MaMo
external_id:
arxiv:
- '1912.10095'
file:
- access_level: open_access
checksum: f042c8d4316bd87c6361aa76f1fbdbbe
content_type: application/pdf
creator: dernst
date_created: 2021-03-02T15:38:14Z
date_updated: 2021-03-02T15:38:14Z
file_id: '9217'
file_name: 2020_PMLR_Shevchenko.pdf
file_size: 5336380
relation: main_file
success: 1
file_date_updated: 2021-03-02T15:38:14Z
has_accepted_license: '1'
intvolume: ' 119'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 8773-8784
project:
- _id: 059876FA-7A3F-11EA-A408-12923DDC885E
name: Prix Lopez-Loretta 2019 - Marco Mondelli
publication: Proceedings of the 37th International Conference on Machine Learning
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
status: public
title: Landscape connectivity and dropout stability of SGD solutions for over-parameterized
neural networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 119
year: '2020'
...
---
_id: '9202'
abstract:
- lang: eng
text: We propose a novel hybridization method for stability analysis that over-approximates
nonlinear dynamical systems by switched systems with linear inclusion dynamics.
We observe that existing hybridization techniques for safety analysis that over-approximate
nonlinear dynamical systems by switched affine inclusion dynamics and provide
fixed approximation error, do not suffice for stability analysis. Hence, we propose
a hybridization method that provides a state-dependent error which converges to
zero as the state tends to the equilibrium point. The crux of our hybridization
computation is an elegant recursive algorithm that uses partial derivatives of
a given function to obtain upper and lower bound matrices for the over-approximating
linear inclusion. We illustrate our method on some examples to demonstrate the
application of the theory for stability analysis. In particular, our method is
able to establish stability of a nonlinear system which does not admit a polynomial
Lyapunov function.
acknowledgement: Miriam Garc´ıa Soto was partially supported by the Austrian Science
Fund (FWF) under grant Z211-N23 (Wittgenstein Award). Pavithra Prabhakar was partially
supported by NSF CAREER Award No. 1552668, NSF Award No. 2008957 and ONR YIP Award
No. N000141712577.
article_processing_charge: No
author:
- first_name: Miriam
full_name: Garcia Soto, Miriam
id: 4B3207F6-F248-11E8-B48F-1D18A9856A87
last_name: Garcia Soto
orcid: 0000-0003-2936-5719
- first_name: Pavithra
full_name: Prabhakar, Pavithra
last_name: Prabhakar
citation:
ama: 'Garcia Soto M, Prabhakar P. Hybridization for stability verification of nonlinear
switched systems. In: 2020 IEEE Real-Time Systems Symposium. IEEE; 2020:244-256.
doi:10.1109/RTSS49844.2020.00031'
apa: 'Garcia Soto, M., & Prabhakar, P. (2020). Hybridization for stability verification
of nonlinear switched systems. In 2020 IEEE Real-Time Systems Symposium
(pp. 244–256). Houston, TX, USA : IEEE. https://doi.org/10.1109/RTSS49844.2020.00031'
chicago: Garcia Soto, Miriam, and Pavithra Prabhakar. “Hybridization for Stability
Verification of Nonlinear Switched Systems.” In 2020 IEEE Real-Time Systems
Symposium, 244–56. IEEE, 2020. https://doi.org/10.1109/RTSS49844.2020.00031.
ieee: M. Garcia Soto and P. Prabhakar, “Hybridization for stability verification
of nonlinear switched systems,” in 2020 IEEE Real-Time Systems Symposium,
Houston, TX, USA , 2020, pp. 244–256.
ista: 'Garcia Soto M, Prabhakar P. 2020. Hybridization for stability verification
of nonlinear switched systems. 2020 IEEE Real-Time Systems Symposium. RTTS: Real-Time
Systems Symposium, 244–256.'
mla: Garcia Soto, Miriam, and Pavithra Prabhakar. “Hybridization for Stability Verification
of Nonlinear Switched Systems.” 2020 IEEE Real-Time Systems Symposium,
IEEE, 2020, pp. 244–56, doi:10.1109/RTSS49844.2020.00031.
short: M. Garcia Soto, P. Prabhakar, in:, 2020 IEEE Real-Time Systems Symposium,
IEEE, 2020, pp. 244–256.
conference:
end_date: 2020-12-04
location: 'Houston, TX, USA '
name: 'RTTS: Real-Time Systems Symposium'
start_date: 2020-12-01
date_created: 2021-02-26T16:38:24Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2024-02-22T13:25:19Z
day: '01'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1109/RTSS49844.2020.00031
external_id:
isi:
- '000680435100021'
file:
- access_level: open_access
checksum: 8f97f229316c3b3a6f0cf99297aa0941
content_type: application/pdf
creator: mgarcias
date_created: 2021-02-26T16:38:14Z
date_updated: 2021-02-26T16:38:14Z
file_id: '9203'
file_name: main.pdf
file_size: 1125794
relation: main_file
file_date_updated: 2021-02-26T16:38:14Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '12'
oa: 1
oa_version: Submitted Version
page: 244-256
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: 2020 IEEE Real-Time Systems Symposium
publication_identifier:
eisbn:
- '9781728183244'
eissn:
- 2576-3172
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Hybridization for stability verification of nonlinear switched systems
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '9208'
abstract:
- lang: eng
text: 'Bending-active structures are able to efficiently produce complex curved
shapes from flat panels. The desired deformation of the panels derives from the
proper selection of their elastic properties. Optimized panels, called FlexMaps,
are designed such that, once they are bent and assembled, the resulting static
equilibrium configuration matches a desired input 3D shape. The FlexMaps elastic
properties are controlled by locally varying spiraling geometric mesostructures,
which are optimized in size and shape to match specific bending requests, namely
the global curvature of the target shape. The design pipeline starts from a quad
mesh representing the input 3D shape, which defines the edge size and the total
amount of spirals: every quad will embed one spiral. Then, an optimization algorithm
tunes the geometry of the spirals by using a simplified pre-computed rod model.
This rod model is derived from a non-linear regression algorithm which approximates
the non-linear behavior of solid FEM spiral models subject to hundreds of load
combinations. This innovative pipeline has been applied to the project of a lightweight
plywood pavilion named FlexMaps Pavilion, which is a single-layer piecewise twisted
arch that fits a bounding box of 3.90x3.96x3.25 meters. This case study serves
to test the applicability of this methodology at the architectural scale. The
structure is validated via FE analyses and the fabrication of the full scale prototype.'
acknowledgement: 'The FlexMaps Pavilion has been awarded First Prize at the “Competition
and Exhibition of innovative lightweight structures” organized by the IASS Working
Group 21 within the FORM and FORCE, joint international conference of IASS Symposium
2019 and Structural Membranes 2019 (Barcelona, 7-11 October 2019) with the following
motivation: “for its structural innovation of bending-twisting system, connection
constructability and exquisite craftmanship”[20]. The authors would like to acknowledge
the Visual Computing Lab Staff of ISTI - CNR, in particular Thomas Alderighi, Marco
Callieri, Paolo Pingi; Antonio Rizzo of IPCF - CNR; and the Administrative Staff
of ISTI - CNR. This research was partially funded by the EU H2020 Programme EVOCATION:
Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication
(grant no. 813170).'
article_number: '1505'
article_processing_charge: No
article_type: original
author:
- first_name: Francesco
full_name: Laccone, Francesco
last_name: Laccone
- first_name: Luigi
full_name: Malomo, Luigi
last_name: Malomo
- first_name: Jesus
full_name: Perez Rodriguez, Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- first_name: Nico
full_name: Pietroni, Nico
last_name: Pietroni
- first_name: Federico
full_name: Ponchio, Federico
last_name: Ponchio
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Paolo
full_name: Cignoni, Paolo
last_name: Cignoni
citation:
ama: 'Laccone F, Malomo L, Perez Rodriguez J, et al. A bending-active twisted-arch
plywood structure: Computational design and fabrication of the FlexMaps Pavilion.
SN Applied Sciences. 2020;2(9). doi:10.1007/s42452-020-03305-w'
apa: 'Laccone, F., Malomo, L., Perez Rodriguez, J., Pietroni, N., Ponchio, F., Bickel,
B., & Cignoni, P. (2020). A bending-active twisted-arch plywood structure:
Computational design and fabrication of the FlexMaps Pavilion. SN Applied Sciences.
Springer Nature. https://doi.org/10.1007/s42452-020-03305-w'
chicago: 'Laccone, Francesco, Luigi Malomo, Jesus Perez Rodriguez, Nico Pietroni,
Federico Ponchio, Bernd Bickel, and Paolo Cignoni. “A Bending-Active Twisted-Arch
Plywood Structure: Computational Design and Fabrication of the FlexMaps Pavilion.”
SN Applied Sciences. Springer Nature, 2020. https://doi.org/10.1007/s42452-020-03305-w.'
ieee: 'F. Laccone et al., “A bending-active twisted-arch plywood structure:
Computational design and fabrication of the FlexMaps Pavilion,” SN Applied
Sciences, vol. 2, no. 9. Springer Nature, 2020.'
ista: 'Laccone F, Malomo L, Perez Rodriguez J, Pietroni N, Ponchio F, Bickel B,
Cignoni P. 2020. A bending-active twisted-arch plywood structure: Computational
design and fabrication of the FlexMaps Pavilion. SN Applied Sciences. 2(9), 1505.'
mla: 'Laccone, Francesco, et al. “A Bending-Active Twisted-Arch Plywood Structure:
Computational Design and Fabrication of the FlexMaps Pavilion.” SN Applied
Sciences, vol. 2, no. 9, 1505, Springer Nature, 2020, doi:10.1007/s42452-020-03305-w.'
short: F. Laccone, L. Malomo, J. Perez Rodriguez, N. Pietroni, F. Ponchio, B. Bickel,
P. Cignoni, SN Applied Sciences 2 (2020).
date_created: 2021-02-28T23:01:25Z
date_published: 2020-09-01T00:00:00Z
date_updated: 2021-03-03T09:43:14Z
day: '01'
department:
- _id: BeBi
doi: 10.1007/s42452-020-03305-w
intvolume: ' 2'
issue: '9'
language:
- iso: eng
month: '09'
oa_version: None
publication: SN Applied Sciences
publication_identifier:
eissn:
- '25233971'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'A bending-active twisted-arch plywood structure: Computational design and
fabrication of the FlexMaps Pavilion'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2
year: '2020'
...
---
_id: '9221'
abstract:
- lang: eng
text: "Recent works have shown that gradient descent can find a global minimum for
over-parameterized neural networks where the widths of all the hidden layers scale
polynomially with N (N being the number of training samples). In this paper, we
prove that, for deep networks, a single layer of width N following the input layer
suffices to ensure a similar guarantee. In particular, all the remaining layers
are allowed to have constant widths, and form a pyramidal topology. We show an
application of our result to the widely used LeCun’s initialization and obtain
an over-parameterization requirement for the single wide layer of order N2.\r\n"
acknowledgement: The authors would like to thank Jan Maas, Mahdi Soltanolkotabi, and
Daniel Soudry for the helpful discussions, Marius Kloft, Matthias Hein and Quoc
Dinh Tran for proofreading portions of a prior version of this paper, and James
Martens for a clarification concerning LeCun’s initialization. M. Mondelli was partially
supported by the 2019 Lopez-Loreta Prize. Q. Nguyen was partially supported by the
German Research Foundation (DFG) award KL 2698/2-1.
article_processing_charge: No
arxiv: 1
author:
- first_name: Quynh
full_name: Nguyen, Quynh
last_name: Nguyen
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
citation:
ama: 'Nguyen Q, Mondelli M. Global convergence of deep networks with one wide layer
followed by pyramidal topology. In: 34th Conference on Neural Information Processing
Systems. Vol 33. Curran Associates; 2020:11961–11972.'
apa: 'Nguyen, Q., & Mondelli, M. (2020). Global convergence of deep networks
with one wide layer followed by pyramidal topology. In 34th Conference on Neural
Information Processing Systems (Vol. 33, pp. 11961–11972). Vancouver, Canada:
Curran Associates.'
chicago: Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks
with One Wide Layer Followed by Pyramidal Topology.” In 34th Conference on
Neural Information Processing Systems, 33:11961–11972. Curran Associates,
2020.
ieee: Q. Nguyen and M. Mondelli, “Global convergence of deep networks with one wide
layer followed by pyramidal topology,” in 34th Conference on Neural Information
Processing Systems, Vancouver, Canada, 2020, vol. 33, pp. 11961–11972.
ista: 'Nguyen Q, Mondelli M. 2020. Global convergence of deep networks with one
wide layer followed by pyramidal topology. 34th Conference on Neural Information
Processing Systems. NeurIPS: Neural Information Processing Systems vol. 33, 11961–11972.'
mla: Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with
One Wide Layer Followed by Pyramidal Topology.” 34th Conference on Neural Information
Processing Systems, vol. 33, Curran Associates, 2020, pp. 11961–11972.
short: Q. Nguyen, M. Mondelli, in:, 34th Conference on Neural Information Processing
Systems, Curran Associates, 2020, pp. 11961–11972.
conference:
end_date: 2020-12-12
location: Vancouver, Canada
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2020-12-06
date_created: 2021-03-03T12:06:02Z
date_published: 2020-07-07T00:00:00Z
date_updated: 2024-09-10T13:03:17Z
day: '07'
department:
- _id: MaMo
external_id:
arxiv:
- '2002.07867'
intvolume: ' 33'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2002.07867
month: '07'
oa: 1
oa_version: Preprint
page: 11961–11972
project:
- _id: 059876FA-7A3F-11EA-A408-12923DDC885E
name: Prix Lopez-Loretta 2019 - Marco Mondelli
publication: 34th Conference on Neural Information Processing Systems
publication_status: published
publisher: Curran Associates
quality_controlled: '1'
status: public
title: Global convergence of deep networks with one wide layer followed by pyramidal
topology
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 33
year: '2020'
...
---
_id: '9222'
article_processing_charge: No
author:
- first_name: Georgios
full_name: Katsaros, Georgios
id: 38DB5788-F248-11E8-B48F-1D18A9856A87
last_name: Katsaros
orcid: 0000-0001-8342-202X
citation:
ama: 'Katsaros G. Transport data for: Site‐controlled uniform Ge/Si Hut wires with
electrically tunable spin–orbit coupling. 2020. doi:10.15479/AT:ISTA:9222'
apa: 'Katsaros, G. (2020). Transport data for: Site‐controlled uniform Ge/Si Hut
wires with electrically tunable spin–orbit coupling. Institute of Science and
Technology Austria. https://doi.org/10.15479/AT:ISTA:9222'
chicago: 'Katsaros, Georgios. “Transport Data for: Site‐controlled Uniform Ge/Si
Hut Wires with Electrically Tunable Spin–Orbit Coupling.” Institute of Science
and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:9222.'
ieee: 'G. Katsaros, “Transport data for: Site‐controlled uniform Ge/Si Hut wires
with electrically tunable spin–orbit coupling.” Institute of Science and Technology
Austria, 2020.'
ista: 'Katsaros G. 2020. Transport data for: Site‐controlled uniform Ge/Si Hut wires
with electrically tunable spin–orbit coupling, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:9222.'
mla: 'Katsaros, Georgios. Transport Data for: Site‐controlled Uniform Ge/Si Hut
Wires with Electrically Tunable Spin–Orbit Coupling. Institute of Science
and Technology Austria, 2020, doi:10.15479/AT:ISTA:9222.'
short: G. Katsaros, (2020).
contributor:
- contributor_type: research_group
first_name: Georgios
id: 38DB5788-F248-11E8-B48F-1D18A9856A87
last_name: Katsaros
date_created: 2021-03-05T18:00:47Z
date_published: 2020-03-16T00:00:00Z
date_updated: 2024-02-21T12:42:13Z
day: '16'
ddc:
- '530'
department:
- _id: GeKa
doi: 10.15479/AT:ISTA:9222
file:
- access_level: open_access
checksum: 41b66e195ed3dbd73077feee77b05652
content_type: application/x-zip-compressed
creator: gkatsaro
date_created: 2021-03-05T17:50:45Z
date_updated: 2021-03-05T17:50:45Z
file_id: '9223'
file_name: DOI_SiteControlledHWs.zip
file_size: 13317557
relation: main_file
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checksum: a1dc5f710ba4b3bb7f248195ba754ab2
content_type: text/plain
creator: dernst
date_created: 2021-03-10T07:31:50Z
date_updated: 2021-03-10T07:31:50Z
file_id: '9233'
file_name: Readme.txt
file_size: 3515
relation: main_file
success: 1
file_date_updated: 2021-03-10T07:31:50Z
has_accepted_license: '1'
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '03'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7541'
relation: used_in_publication
status: public
status: public
title: 'Transport data for: Site‐controlled uniform Ge/Si Hut wires with electrically
tunable spin–orbit coupling'
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
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '9249'
abstract:
- lang: eng
text: Rhombic dodecahedron is a space filling polyhedron which represents the close
packing of spheres in 3D space and the Voronoi structures of the face centered
cubic (FCC) lattice. In this paper, we describe a new coordinate system where
every 3-integer coordinates grid point corresponds to a rhombic dodecahedron centroid.
In order to illustrate the interest of the new coordinate system, we propose the
characterization of 3D digital plane with its topological features, such as the
interrelation between the thickness of the digital plane and the separability
constraint we aim to obtain. We also present the characterization of 3D digital
lines and study it as the intersection of multiple digital planes. Characterization
of 3D digital sphere with relevant topological features is proposed as well along
with the 48-symmetry appearing in the new coordinate system.
acknowledgement: "This work has been partially supported by the European Research
Council (ERC) under\r\nthe European Union’s Horizon 2020 research and innovation
programme, grant no. 788183, and the DFG Collaborative Research Center TRR 109,
‘Discretization in Geometry and Dynamics’, Austrian Science Fund (FWF), grant no.
I 02979-N35. "
article_processing_charge: No
article_type: original
author:
- first_name: Ranita
full_name: Biswas, Ranita
id: 3C2B033E-F248-11E8-B48F-1D18A9856A87
last_name: Biswas
orcid: 0000-0002-5372-7890
- first_name: Gaëlle
full_name: Largeteau-Skapin, Gaëlle
last_name: Largeteau-Skapin
- first_name: Rita
full_name: Zrour, Rita
last_name: Zrour
- first_name: Eric
full_name: Andres, Eric
last_name: Andres
citation:
ama: Biswas R, Largeteau-Skapin G, Zrour R, Andres E. Digital objects in rhombic
dodecahedron grid. Mathematical Morphology - Theory and Applications. 2020;4(1):143-158.
doi:10.1515/mathm-2020-0106
apa: Biswas, R., Largeteau-Skapin, G., Zrour, R., & Andres, E. (2020). Digital
objects in rhombic dodecahedron grid. Mathematical Morphology - Theory and
Applications. De Gruyter. https://doi.org/10.1515/mathm-2020-0106
chicago: Biswas, Ranita, Gaëlle Largeteau-Skapin, Rita Zrour, and Eric Andres. “Digital
Objects in Rhombic Dodecahedron Grid.” Mathematical Morphology - Theory and
Applications. De Gruyter, 2020. https://doi.org/10.1515/mathm-2020-0106.
ieee: R. Biswas, G. Largeteau-Skapin, R. Zrour, and E. Andres, “Digital objects
in rhombic dodecahedron grid,” Mathematical Morphology - Theory and Applications,
vol. 4, no. 1. De Gruyter, pp. 143–158, 2020.
ista: Biswas R, Largeteau-Skapin G, Zrour R, Andres E. 2020. Digital objects in
rhombic dodecahedron grid. Mathematical Morphology - Theory and Applications.
4(1), 143–158.
mla: Biswas, Ranita, et al. “Digital Objects in Rhombic Dodecahedron Grid.” Mathematical
Morphology - Theory and Applications, vol. 4, no. 1, De Gruyter, 2020, pp.
143–58, doi:10.1515/mathm-2020-0106.
short: R. Biswas, G. Largeteau-Skapin, R. Zrour, E. Andres, Mathematical Morphology
- Theory and Applications 4 (2020) 143–158.
date_created: 2021-03-16T08:55:19Z
date_published: 2020-11-17T00:00:00Z
date_updated: 2021-03-22T09:01:50Z
day: '17'
ddc:
- '510'
department:
- _id: HeEd
doi: 10.1515/mathm-2020-0106
ec_funded: 1
file:
- access_level: open_access
checksum: 4a1043fa0548a725d464017fe2483ce0
content_type: application/pdf
creator: dernst
date_created: 2021-03-22T08:56:37Z
date_updated: 2021-03-22T08:56:37Z
file_id: '9272'
file_name: 2020_MathMorpholTheoryAppl_Biswas.pdf
file_size: 3668725
relation: main_file
success: 1
file_date_updated: 2021-03-22T08:56:37Z
has_accepted_license: '1'
intvolume: ' 4'
issue: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: 143-158
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: Mathematical Morphology - Theory and Applications
publication_identifier:
issn:
- 2353-3390
publication_status: published
publisher: De Gruyter
quality_controlled: '1'
status: public
title: Digital objects in rhombic dodecahedron grid
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: 4
year: '2020'
...
---
_id: '9299'
abstract:
- lang: eng
text: We call a multigraph non-homotopic if it can be drawn in the plane in such
a way that no two edges connecting the same pair of vertices can be continuously
transformed into each other without passing through a vertex, and no loop can
be shrunk to its end-vertex in the same way. It is easy to see that a non-homotopic
multigraph on n>1 vertices can have arbitrarily many edges. We prove that the
number of crossings between the edges of a non-homotopic multigraph with n vertices
and m>4n edges is larger than cm2n for some constant c>0 , and that this
bound is tight up to a polylogarithmic factor. We also show that the lower bound
is not asymptotically sharp as n is fixed and m⟶∞ .
acknowledgement: Supported by the National Research, Development and Innovation Office,
NKFIH, KKP-133864, K-131529, K-116769, K-132696, by the Higher Educational Institutional
Excellence Program 2019 NKFIH-1158-6/2019, the Austrian Science Fund (FWF), grant
Z 342-N31, by the Ministry of Education and Science of the Russian Federation MegaGrant
No. 075-15-2019-1926, and by the ERC Synergy Grant “Dynasnet” No. 810115. A full
version can be found at https://arxiv.org/abs/2006.14908.
article_processing_charge: No
arxiv: 1
author:
- first_name: János
full_name: Pach, János
id: E62E3130-B088-11EA-B919-BF823C25FEA4
last_name: Pach
- first_name: Gábor
full_name: Tardos, Gábor
last_name: Tardos
- first_name: Géza
full_name: Tóth, Géza
last_name: Tóth
citation:
ama: 'Pach J, Tardos G, Tóth G. Crossings between non-homotopic edges. In: 28th
International Symposium on Graph Drawing and Network Visualization. Vol 12590.
LNCS. Springer Nature; 2020:359-371. doi:10.1007/978-3-030-68766-3_28'
apa: 'Pach, J., Tardos, G., & Tóth, G. (2020). Crossings between non-homotopic
edges. In 28th International Symposium on Graph Drawing and Network Visualization
(Vol. 12590, pp. 359–371). Virtual, Online: Springer Nature. https://doi.org/10.1007/978-3-030-68766-3_28'
chicago: Pach, János, Gábor Tardos, and Géza Tóth. “Crossings between Non-Homotopic
Edges.” In 28th International Symposium on Graph Drawing and Network Visualization,
12590:359–71. LNCS. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-68766-3_28.
ieee: J. Pach, G. Tardos, and G. Tóth, “Crossings between non-homotopic edges,”
in 28th International Symposium on Graph Drawing and Network Visualization,
Virtual, Online, 2020, vol. 12590, pp. 359–371.
ista: 'Pach J, Tardos G, Tóth G. 2020. Crossings between non-homotopic edges. 28th
International Symposium on Graph Drawing and Network Visualization. GD: Graph
Drawing and Network VisualizationLNCS vol. 12590, 359–371.'
mla: Pach, János, et al. “Crossings between Non-Homotopic Edges.” 28th International
Symposium on Graph Drawing and Network Visualization, vol. 12590, Springer
Nature, 2020, pp. 359–71, doi:10.1007/978-3-030-68766-3_28.
short: J. Pach, G. Tardos, G. Tóth, in:, 28th International Symposium on Graph Drawing
and Network Visualization, Springer Nature, 2020, pp. 359–371.
conference:
end_date: 2020-09-18
location: Virtual, Online
name: 'GD: Graph Drawing and Network Visualization'
start_date: 2020-09-16
date_created: 2021-03-28T22:01:44Z
date_published: 2020-09-20T00:00:00Z
date_updated: 2021-04-06T11:32:32Z
day: '20'
department:
- _id: HeEd
doi: 10.1007/978-3-030-68766-3_28
external_id:
arxiv:
- '2006.14908'
intvolume: ' 12590'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2006.14908
month: '09'
oa: 1
oa_version: Preprint
page: 359-371
project:
- _id: 268116B8-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00342
name: The Wittgenstein Prize
publication: 28th International Symposium on Graph Drawing and Network Visualization
publication_identifier:
eissn:
- 1611-3349
isbn:
- '9783030687656'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
series_title: LNCS
status: public
title: Crossings between non-homotopic edges
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12590
year: '2020'
...
---
_id: '9308'
acknowledgement: This research was carried out with the support of the Russian Foundation
for Basic Research(grant no. 19-01-00169)
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Sergey
full_name: Avvakumov, Sergey
id: 3827DAC8-F248-11E8-B48F-1D18A9856A87
last_name: Avvakumov
- first_name: Uli
full_name: Wagner, Uli
id: 36690CA2-F248-11E8-B48F-1D18A9856A87
last_name: Wagner
orcid: 0000-0002-1494-0568
- first_name: Isaac
full_name: Mabillard, Isaac
id: 32BF9DAA-F248-11E8-B48F-1D18A9856A87
last_name: Mabillard
- first_name: A. B.
full_name: Skopenkov, A. B.
last_name: Skopenkov
citation:
ama: Avvakumov S, Wagner U, Mabillard I, Skopenkov AB. Eliminating higher-multiplicity
intersections, III. Codimension 2. Russian Mathematical Surveys. 2020;75(6):1156-1158.
doi:10.1070/RM9943
apa: Avvakumov, S., Wagner, U., Mabillard, I., & Skopenkov, A. B. (2020). Eliminating
higher-multiplicity intersections, III. Codimension 2. Russian Mathematical
Surveys. IOP Publishing. https://doi.org/10.1070/RM9943
chicago: Avvakumov, Sergey, Uli Wagner, Isaac Mabillard, and A. B. Skopenkov. “Eliminating
Higher-Multiplicity Intersections, III. Codimension 2.” Russian Mathematical
Surveys. IOP Publishing, 2020. https://doi.org/10.1070/RM9943.
ieee: S. Avvakumov, U. Wagner, I. Mabillard, and A. B. Skopenkov, “Eliminating higher-multiplicity
intersections, III. Codimension 2,” Russian Mathematical Surveys, vol.
75, no. 6. IOP Publishing, pp. 1156–1158, 2020.
ista: Avvakumov S, Wagner U, Mabillard I, Skopenkov AB. 2020. Eliminating higher-multiplicity
intersections, III. Codimension 2. Russian Mathematical Surveys. 75(6), 1156–1158.
mla: Avvakumov, Sergey, et al. “Eliminating Higher-Multiplicity Intersections, III.
Codimension 2.” Russian Mathematical Surveys, vol. 75, no. 6, IOP Publishing,
2020, pp. 1156–58, doi:10.1070/RM9943.
short: S. Avvakumov, U. Wagner, I. Mabillard, A.B. Skopenkov, Russian Mathematical
Surveys 75 (2020) 1156–1158.
date_created: 2021-04-04T22:01:22Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2023-08-14T11:43:54Z
day: '01'
department:
- _id: UlWa
doi: 10.1070/RM9943
external_id:
arxiv:
- '1511.03501'
isi:
- '000625983100001'
intvolume: ' 75'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1511.03501
month: '12'
oa: 1
oa_version: Preprint
page: 1156-1158
publication: Russian Mathematical Surveys
publication_identifier:
issn:
- 0036-0279
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
related_material:
record:
- id: '8183'
relation: earlier_version
status: public
- id: '10220'
relation: later_version
status: public
scopus_import: '1'
status: public
title: Eliminating higher-multiplicity intersections, III. Codimension 2
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 75
year: '2020'
...
---
_id: '9326'
abstract:
- lang: eng
text: The mitochondrial respiratory chain, formed by five protein complexes, utilizes
energy from catabolic processes to synthesize ATP. Complex I, the first and the
largest protein complex of the chain, harvests electrons from NADH to reduce quinone,
while pumping protons across the mitochondrial membrane. Detailed knowledge of
the working principle of such coupled charge-transfer processes remains, however,
fragmentary due to bottlenecks in understanding redox-driven conformational transitions
and their interplay with the hydrated proton pathways. Complex I from Thermus
thermophilus encases 16 subunits with nine iron–sulfur clusters, reduced by electrons
from NADH. Here, employing the latest crystal structure of T. thermophilus complex
I, we have used microsecond-scale molecular dynamics simulations to study the
chemo-mechanical coupling between redox changes of the iron–sulfur clusters and
conformational transitions across complex I. First, we identify the redox switches
within complex I, which allosterically couple the dynamics of the quinone binding
pocket to the site of NADH reduction. Second, our free-energy calculations reveal
that the affinity of the quinone, specifically menaquinone, for the binding-site
is higher than that of its reduced, menaquinol forma design essential for menaquinol
release. Remarkably, the barriers to diffusive menaquinone dynamics are lesser
than that of the more ubiquitous ubiquinone, and the naphthoquinone headgroup
of the former furnishes stronger binding interactions with the pocket, favoring
menaquinone for charge transport in T. thermophilus. Our computations are consistent
with experimentally validated mutations and hierarchize the key residues into
three functional classes, identifying new mutation targets. Third, long-range
hydrogen-bond networks connecting the quinone-binding site to the transmembrane
subunits are found to be responsible for proton pumping. Put together, the simulations
reveal the molecular design principles linking redox reactions to quinone turnover
to proton translocation in complex I.
article_processing_charge: No
author:
- first_name: Chitrak
full_name: Gupta, Chitrak
last_name: Gupta
- first_name: Umesh
full_name: Khaniya, Umesh
last_name: Khaniya
- first_name: Chun
full_name: Chan, Chun
last_name: Chan
- first_name: Francois
full_name: Dehez, Francois
last_name: Dehez
- first_name: Mrinal
full_name: Shekhar, Mrinal
last_name: Shekhar
- first_name: M. R.
full_name: Gunner, M. R.
last_name: Gunner
- first_name: Leonid A
full_name: Sazanov, Leonid A
id: 338D39FE-F248-11E8-B48F-1D18A9856A87
last_name: Sazanov
orcid: 0000-0002-0977-7989
- first_name: Christophe
full_name: Chipot, Christophe
last_name: Chipot
- first_name: Abhishek
full_name: Singharoy, Abhishek
last_name: Singharoy
citation:
ama: Gupta C, Khaniya U, Chan C, et al. Charge transfer and chemo-mechanical coupling
in respiratory complex I. 2020. doi:10.1021/jacs.9b13450.s002
apa: Gupta, C., Khaniya, U., Chan, C., Dehez, F., Shekhar, M., Gunner, M. R., …
Singharoy, A. (2020). Charge transfer and chemo-mechanical coupling in respiratory
complex I. American Chemical Society. https://doi.org/10.1021/jacs.9b13450.s002
chicago: Gupta, Chitrak, Umesh Khaniya, Chun Chan, Francois Dehez, Mrinal Shekhar,
M. R. Gunner, Leonid A Sazanov, Christophe Chipot, and Abhishek Singharoy. “Charge
Transfer and Chemo-Mechanical Coupling in Respiratory Complex I.” American Chemical
Society, 2020. https://doi.org/10.1021/jacs.9b13450.s002.
ieee: C. Gupta et al., “Charge transfer and chemo-mechanical coupling in
respiratory complex I.” American Chemical Society, 2020.
ista: Gupta C, Khaniya U, Chan C, Dehez F, Shekhar M, Gunner MR, Sazanov LA, Chipot
C, Singharoy A. 2020. Charge transfer and chemo-mechanical coupling in respiratory
complex I, American Chemical Society, 10.1021/jacs.9b13450.s002.
mla: Gupta, Chitrak, et al. Charge Transfer and Chemo-Mechanical Coupling in
Respiratory Complex I. American Chemical Society, 2020, doi:10.1021/jacs.9b13450.s002.
short: C. Gupta, U. Khaniya, C. Chan, F. Dehez, M. Shekhar, M.R. Gunner, L.A. Sazanov,
C. Chipot, A. Singharoy, (2020).
date_created: 2021-04-14T12:05:20Z
date_published: 2020-05-20T00:00:00Z
date_updated: 2023-08-22T07:49:37Z
day: '20'
department:
- _id: LeSa
doi: 10.1021/jacs.9b13450.s002
license: https://creativecommons.org/licenses/by-nc/4.0/
main_file_link:
- open_access: '1'
month: '05'
oa: 1
oa_version: Published Version
publisher: American Chemical Society
related_material:
record:
- id: '8040'
relation: used_in_publication
status: public
status: public
title: Charge transfer and chemo-mechanical coupling in respiratory complex I
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '6918'
abstract:
- lang: eng
text: "We consider the classic problem of Network Reliability. A network is given
together with a source vertex, one or more target vertices, and probabilities
assigned to each of the edges. Each edge of the network is operable with its associated
probability and the problem is to determine the probability of having at least
one source-to-target path that is entirely composed of operable edges. This problem
is known to be NP-hard.\r\n\r\nWe provide a novel scalable algorithm to solve
the Network Reliability problem when the treewidth of the underlying network is
small. We also show our algorithm’s applicability for real-world transit networks
that have small treewidth, including the metro networks of major cities, such
as London and Tokyo. Our algorithm leverages tree decompositions to shrink the
original graph into much smaller graphs, for which reliability can be efficiently
and exactly computed using a brute force method. To the best of our knowledge,
this is the first exact algorithm for Network Reliability that can scale to handle
real-world instances of the problem."
acknowledgement: We are grateful to the anonymous reviewers for their comments, which
significantly improved the present work. The research was partially supported by
the EPSRC Early Career Fellowship EP/R023379/1, grant no. SC7-1718-01 of the London
Mathematical Society, an IBM PhD Fellowship, and a DOC Fellowship of the Austrian
Academy of Sciences (ÖAW).
article_number: '106665'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Amir Kafshdar
full_name: Goharshady, Amir Kafshdar
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
- first_name: Fatemeh
full_name: Mohammadi, Fatemeh
last_name: Mohammadi
citation:
ama: Goharshady AK, Mohammadi F. An efficient algorithm for computing network reliability
in small treewidth. Reliability Engineering and System Safety. 2020;193.
doi:10.1016/j.ress.2019.106665
apa: Goharshady, A. K., & Mohammadi, F. (2020). An efficient algorithm for computing
network reliability in small treewidth. Reliability Engineering and System
Safety. Elsevier. https://doi.org/10.1016/j.ress.2019.106665
chicago: Goharshady, Amir Kafshdar, and Fatemeh Mohammadi. “An Efficient Algorithm
for Computing Network Reliability in Small Treewidth.” Reliability Engineering
and System Safety. Elsevier, 2020. https://doi.org/10.1016/j.ress.2019.106665.
ieee: A. K. Goharshady and F. Mohammadi, “An efficient algorithm for computing network
reliability in small treewidth,” Reliability Engineering and System Safety,
vol. 193. Elsevier, 2020.
ista: Goharshady AK, Mohammadi F. 2020. An efficient algorithm for computing network
reliability in small treewidth. Reliability Engineering and System Safety. 193,
106665.
mla: Goharshady, Amir Kafshdar, and Fatemeh Mohammadi. “An Efficient Algorithm for
Computing Network Reliability in Small Treewidth.” Reliability Engineering
and System Safety, vol. 193, 106665, Elsevier, 2020, doi:10.1016/j.ress.2019.106665.
short: A.K. Goharshady, F. Mohammadi, Reliability Engineering and System Safety
193 (2020).
date_created: 2019-09-29T22:00:44Z
date_published: 2020-01-01T00:00:00Z
date_updated: 2024-03-25T23:30:18Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.ress.2019.106665
external_id:
arxiv:
- '1712.09692'
isi:
- '000501641400050'
intvolume: ' 193'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1712.09692
month: '01'
oa: 1
oa_version: Preprint
project:
- _id: 266EEEC0-B435-11E9-9278-68D0E5697425
name: Quantitative Game-theoretic Analysis of Blockchain Applications and Smart
Contracts
publication: Reliability Engineering and System Safety
publication_identifier:
issn:
- '09518320'
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '8934'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: An efficient algorithm for computing network reliability in small treewidth
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 193
year: '2020'
...
---
_id: '6944'
abstract:
- lang: eng
text: 'We study the problem of automatically detecting if a given multi-class classifier
operates outside of its specifications (out-of-specs), i.e. on input data from
a different distribution than what it was trained for. This is an important problem
to solve on the road towards creating reliable computer vision systems for real-world
applications, because the quality of a classifier’s predictions cannot be guaranteed
if it operates out-of-specs. Previously proposed methods for out-of-specs detection
make decisions on the level of single inputs. This, however, is insufficient to
achieve low false positive rate and high false negative rates at the same time.
In this work, we describe a new procedure named KS(conf), based on statistical
reasoning. Its main component is a classical Kolmogorov–Smirnov test that is applied
to the set of predicted confidence values for batches of samples. Working with
batches instead of single samples allows increasing the true positive rate without
negatively affecting the false positive rate, thereby overcoming a crucial limitation
of single sample tests. We show by extensive experiments using a variety of convolutional
network architectures and datasets that KS(conf) reliably detects out-of-specs
situations even under conditions where other tests fail. It furthermore has a
number of properties that make it an excellent candidate for practical deployment:
it is easy to implement, adds almost no overhead to the system, works with any
classifier that outputs confidence scores, and requires no a priori knowledge
about how the data distribution could change.'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Rémy
full_name: Sun, Rémy
last_name: Sun
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Sun R, Lampert C. KS(conf): A light-weight test if a multiclass classifier
operates outside of its specifications. International Journal of Computer Vision.
2020;128(4):970-995. doi:10.1007/s11263-019-01232-x'
apa: 'Sun, R., & Lampert, C. (2020). KS(conf): A light-weight test if a multiclass
classifier operates outside of its specifications. International Journal of
Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-019-01232-x'
chicago: 'Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a
Multiclass Classifier Operates Outside of Its Specifications.” International
Journal of Computer Vision. Springer Nature, 2020. https://doi.org/10.1007/s11263-019-01232-x.'
ieee: 'R. Sun and C. Lampert, “KS(conf): A light-weight test if a multiclass classifier
operates outside of its specifications,” International Journal of Computer
Vision, vol. 128, no. 4. Springer Nature, pp. 970–995, 2020.'
ista: 'Sun R, Lampert C. 2020. KS(conf): A light-weight test if a multiclass classifier
operates outside of its specifications. International Journal of Computer Vision.
128(4), 970–995.'
mla: 'Sun, Rémy, and Christoph Lampert. “KS(Conf): A Light-Weight Test If a Multiclass
Classifier Operates Outside of Its Specifications.” International Journal of
Computer Vision, vol. 128, no. 4, Springer Nature, 2020, pp. 970–95, doi:10.1007/s11263-019-01232-x.'
short: R. Sun, C. Lampert, International Journal of Computer Vision 128 (2020) 970–995.
date_created: 2019-10-14T09:14:28Z
date_published: 2020-04-01T00:00:00Z
date_updated: 2024-02-22T14:57:30Z
day: '01'
ddc:
- '004'
department:
- _id: ChLa
doi: 10.1007/s11263-019-01232-x
ec_funded: 1
external_id:
isi:
- '000494406800001'
file:
- access_level: open_access
checksum: 155e63edf664dcacb3bdc1c2223e606f
content_type: application/pdf
creator: dernst
date_created: 2019-11-26T10:30:02Z
date_updated: 2020-07-14T12:47:45Z
file_id: '7110'
file_name: 2019_IJCV_Sun.pdf
file_size: 1715072
relation: main_file
file_date_updated: 2020-07-14T12:47:45Z
has_accepted_license: '1'
intvolume: ' 128'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 970-995
project:
- _id: 2532554C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '308036'
name: Lifelong Learning of Visual Scene Understanding
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: International Journal of Computer Vision
publication_identifier:
eissn:
- 1573-1405
issn:
- 0920-5691
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1007/s11263-019-01262-5
record:
- id: '6482'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: 'KS(conf): A light-weight test if a multiclass classifier operates outside
of its specifications'
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 128
year: '2020'
...
---
_id: '6952'
abstract:
- lang: eng
text: 'We present a unified framework tackling two problems: class-specific 3D reconstruction
from a single image, and generation of new 3D shape samples. These tasks have
received considerable attention recently; however, most existing approaches rely
on 3D supervision, annotation of 2D images with keypoints or poses, and/or training
with multiple views of each object instance. Our framework is very general: it
can be trained in similar settings to existing approaches, while also supporting
weaker supervision. Importantly, it can be trained purely from 2D images, without
pose annotations, and with only a single view per instance. We employ meshes as
an output representation, instead of voxels used in most prior work. This allows
us to reason over lighting parameters and exploit shading information during training,
which previous 2D-supervised methods cannot. Thus, our method can learn to generate
and reconstruct concave object classes. We evaluate our approach in various settings,
showing that: (i) it learns to disentangle shape from pose and lighting; (ii)
using shading in the loss improves performance compared to just silhouettes; (iii)
when using a standard single white light, our model outperforms state-of-the-art
2D-supervised methods, both with and without pose supervision, thanks to exploiting
shading cues; (iv) performance improves further when using multiple coloured lights,
even approaching that of state-of-the-art 3D-supervised methods; (v) shapes produced
by our model capture smooth surfaces and fine details better than voxel-based
approaches; and (vi) our approach supports concave classes such as bathtubs and
sofas, which methods based on silhouettes cannot learn.'
acknowledgement: Open access funding provided by Institute of Science and Technology
(IST Austria).
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- 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: Vittorio
full_name: Ferrari, Vittorio
last_name: Ferrari
citation:
ama: Henderson PM, Ferrari V. Learning single-image 3D reconstruction by generative
modelling of shape, pose and shading. International Journal of Computer Vision.
2020;128:835-854. doi:10.1007/s11263-019-01219-8
apa: Henderson, P. M., & Ferrari, V. (2020). Learning single-image 3D reconstruction
by generative modelling of shape, pose and shading. International Journal of
Computer Vision. Springer Nature. https://doi.org/10.1007/s11263-019-01219-8
chicago: Henderson, Paul M, and Vittorio Ferrari. “Learning Single-Image 3D Reconstruction
by Generative Modelling of Shape, Pose and Shading.” International Journal
of Computer Vision. Springer Nature, 2020. https://doi.org/10.1007/s11263-019-01219-8.
ieee: P. M. Henderson and V. Ferrari, “Learning single-image 3D reconstruction by
generative modelling of shape, pose and shading,” International Journal of
Computer Vision, vol. 128. Springer Nature, pp. 835–854, 2020.
ista: Henderson PM, Ferrari V. 2020. Learning single-image 3D reconstruction by
generative modelling of shape, pose and shading. International Journal of Computer
Vision. 128, 835–854.
mla: Henderson, Paul M., and Vittorio Ferrari. “Learning Single-Image 3D Reconstruction
by Generative Modelling of Shape, Pose and Shading.” International Journal
of Computer Vision, vol. 128, Springer Nature, 2020, pp. 835–54, doi:10.1007/s11263-019-01219-8.
short: P.M. Henderson, V. Ferrari, International Journal of Computer Vision 128
(2020) 835–854.
date_created: 2019-10-17T13:38:20Z
date_published: 2020-04-01T00:00:00Z
date_updated: 2023-08-17T14:01:16Z
day: '01'
ddc:
- '004'
department:
- _id: ChLa
doi: 10.1007/s11263-019-01219-8
external_id:
arxiv:
- '1901.06447'
isi:
- '000491042100002'
file:
- access_level: open_access
checksum: a0f05dd4f5f64e4f713d8d9d4b5b1e3f
content_type: application/pdf
creator: dernst
date_created: 2019-10-25T10:28:29Z
date_updated: 2020-07-14T12:47:46Z
file_id: '6973'
file_name: 2019_CompVision_Henderson.pdf
file_size: 2243134
relation: main_file
file_date_updated: 2020-07-14T12:47:46Z
has_accepted_license: '1'
intvolume: ' 128'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 835-854
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: International Journal of Computer Vision
publication_identifier:
eissn:
- 1573-1405
issn:
- 0920-5691
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning single-image 3D reconstruction by generative modelling of shape, pose
and shading
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: 128
year: '2020'
...
---
_id: '6976'
abstract:
- lang: eng
text: Origami is rapidly transforming the design of robots1,2, deployable structures3,4,5,6
and metamaterials7,8,9,10,11,12,13,14. However, as foldability requires a large
number of complex compatibility conditions that are difficult to satisfy, the
design of crease patterns is limited to heuristics and computer optimization.
Here we introduce a systematic strategy that enables intuitive and effective design
of complex crease patterns that are guaranteed to fold. First, we exploit symmetries
to construct 140 distinct foldable motifs, and represent these as jigsaw puzzle
pieces. We then show that when these pieces are fitted together they encode foldable
crease patterns. This maps origami design to solving combinatorial problems, which
allows us to systematically create, count and classify a vast number of crease
patterns. We show that all of these crease patterns are pluripotent—capable of
folding into multiple shapes—and solve exactly for the number of possible shapes
for each pattern. Finally, we employ our framework to rationally design a crease
pattern that folds into two independently defined target shapes, and fabricate
such pluripotent origami. Our results provide physicists, mathematicians and engineers
with a powerful new design strategy.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Peter
full_name: Dieleman, Peter
last_name: Dieleman
- first_name: Niek
full_name: Vasmel, Niek
last_name: Vasmel
- first_name: Scott R
full_name: Waitukaitis, Scott R
id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87
last_name: Waitukaitis
orcid: 0000-0002-2299-3176
- first_name: Martin
full_name: van Hecke, Martin
last_name: van Hecke
citation:
ama: Dieleman P, Vasmel N, Waitukaitis SR, van Hecke M. Jigsaw puzzle design of
pluripotent origami. Nature Physics. 2020;16(1):63–68. doi:10.1038/s41567-019-0677-3
apa: Dieleman, P., Vasmel, N., Waitukaitis, S. R., & van Hecke, M. (2020). Jigsaw
puzzle design of pluripotent origami. Nature Physics. Springer Nature.
https://doi.org/10.1038/s41567-019-0677-3
chicago: Dieleman, Peter, Niek Vasmel, Scott R Waitukaitis, and Martin van Hecke.
“Jigsaw Puzzle Design of Pluripotent Origami.” Nature Physics. Springer
Nature, 2020. https://doi.org/10.1038/s41567-019-0677-3.
ieee: P. Dieleman, N. Vasmel, S. R. Waitukaitis, and M. van Hecke, “Jigsaw puzzle
design of pluripotent origami,” Nature Physics, vol. 16, no. 1. Springer
Nature, pp. 63–68, 2020.
ista: Dieleman P, Vasmel N, Waitukaitis SR, van Hecke M. 2020. Jigsaw puzzle design
of pluripotent origami. Nature Physics. 16(1), 63–68.
mla: Dieleman, Peter, et al. “Jigsaw Puzzle Design of Pluripotent Origami.” Nature
Physics, vol. 16, no. 1, Springer Nature, 2020, pp. 63–68, doi:10.1038/s41567-019-0677-3.
short: P. Dieleman, N. Vasmel, S.R. Waitukaitis, M. van Hecke, Nature Physics 16
(2020) 63–68.
date_created: 2019-10-31T07:51:44Z
date_published: 2020-01-01T00:00:00Z
date_updated: 2021-01-12T08:11:16Z
day: '01'
doi: 10.1038/s41567-019-0677-3
extern: '1'
intvolume: ' 16'
issue: '1'
language:
- iso: eng
month: '01'
oa_version: None
page: 63–68
publication: Nature Physics
publication_identifier:
eissn:
- 1745-2481
issn:
- 1745-2473
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Jigsaw puzzle design of pluripotent origami
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 16
year: '2020'
...
---
_id: '6997'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Yuzhou
full_name: Zhang, Yuzhou
id: 3B6137F2-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0003-2627-6956
- first_name: Jiří
full_name: Friml, Jiří
id: 4159519E-F248-11E8-B48F-1D18A9856A87
last_name: Friml
orcid: 0000-0002-8302-7596
citation:
ama: Zhang Y, Friml J. Auxin guides roots to avoid obstacles during gravitropic
growth. New Phytologist. 2020;225(3):1049-1052. doi:10.1111/nph.16203
apa: Zhang, Y., & Friml, J. (2020). Auxin guides roots to avoid obstacles during
gravitropic growth. New Phytologist. Wiley. https://doi.org/10.1111/nph.16203
chicago: Zhang, Yuzhou, and Jiří Friml. “Auxin Guides Roots to Avoid Obstacles during
Gravitropic Growth.” New Phytologist. Wiley, 2020. https://doi.org/10.1111/nph.16203.
ieee: Y. Zhang and J. Friml, “Auxin guides roots to avoid obstacles during gravitropic
growth,” New Phytologist, vol. 225, no. 3. Wiley, pp. 1049–1052, 2020.
ista: Zhang Y, Friml J. 2020. Auxin guides roots to avoid obstacles during gravitropic
growth. New Phytologist. 225(3), 1049–1052.
mla: Zhang, Yuzhou, and Jiří Friml. “Auxin Guides Roots to Avoid Obstacles during
Gravitropic Growth.” New Phytologist, vol. 225, no. 3, Wiley, 2020, pp.
1049–52, doi:10.1111/nph.16203.
short: Y. Zhang, J. Friml, New Phytologist 225 (2020) 1049–1052.
date_created: 2019-11-12T11:41:32Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-08-17T14:01:49Z
day: '01'
ddc:
- '580'
department:
- _id: JiFr
doi: 10.1111/nph.16203
ec_funded: 1
external_id:
isi:
- '000489638800001'
pmid:
- '31603260'
file:
- access_level: open_access
checksum: cd42ffdb381fd52812b9583d4d407139
content_type: application/pdf
creator: dernst
date_created: 2020-11-18T16:42:48Z
date_updated: 2020-11-18T16:42:48Z
file_id: '8772'
file_name: 2020_NewPhytologist_Zhang.pdf
file_size: 717345
relation: main_file
success: 1
file_date_updated: 2020-11-18T16:42:48Z
has_accepted_license: '1'
intvolume: ' 225'
isi: 1
issue: '3'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: 1049-1052
pmid: 1
project:
- _id: 261099A6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '742985'
name: Tracing Evolution of Auxin Transport and Polarity in Plants
- _id: 26538374-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I03630
name: Molecular mechanisms of endocytic cargo recognition in plants
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: New Phytologist
publication_identifier:
eissn:
- 1469-8137
issn:
- 0028-646x
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Auxin guides roots to avoid obstacles during gravitropic growth
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: 225
year: '2020'
...
---
_id: '7004'
abstract:
- lang: eng
text: We define an action of the (double of) Cohomological Hall algebra of Kontsevich
and Soibelman on the cohomology of the moduli space of spiked instantons of Nekrasov.
We identify this action with the one of the affine Yangian of gl(1). Based on
that we derive the vertex algebra at the corner Wr1,r2,r3 of Gaiotto and Rapčák.
We conjecture that our approach works for a big class of Calabi–Yau categories,
including those associated with toric Calabi–Yau 3-folds.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Miroslav
full_name: Rapcak, Miroslav
last_name: Rapcak
- first_name: Yan
full_name: Soibelman, Yan
last_name: Soibelman
- first_name: Yaping
full_name: Yang, Yaping
last_name: Yang
- first_name: Gufang
full_name: Zhao, Gufang
id: 2BC2AC5E-F248-11E8-B48F-1D18A9856A87
last_name: Zhao
citation:
ama: Rapcak M, Soibelman Y, Yang Y, Zhao G. Cohomological Hall algebras, vertex
algebras and instantons. Communications in Mathematical Physics. 2020;376:1803-1873.
doi:10.1007/s00220-019-03575-5
apa: Rapcak, M., Soibelman, Y., Yang, Y., & Zhao, G. (2020). Cohomological Hall
algebras, vertex algebras and instantons. Communications in Mathematical Physics.
Springer Nature. https://doi.org/10.1007/s00220-019-03575-5
chicago: Rapcak, Miroslav, Yan Soibelman, Yaping Yang, and Gufang Zhao. “Cohomological
Hall Algebras, Vertex Algebras and Instantons.” Communications in Mathematical
Physics. Springer Nature, 2020. https://doi.org/10.1007/s00220-019-03575-5.
ieee: M. Rapcak, Y. Soibelman, Y. Yang, and G. Zhao, “Cohomological Hall algebras,
vertex algebras and instantons,” Communications in Mathematical Physics,
vol. 376. Springer Nature, pp. 1803–1873, 2020.
ista: Rapcak M, Soibelman Y, Yang Y, Zhao G. 2020. Cohomological Hall algebras,
vertex algebras and instantons. Communications in Mathematical Physics. 376, 1803–1873.
mla: Rapcak, Miroslav, et al. “Cohomological Hall Algebras, Vertex Algebras and
Instantons.” Communications in Mathematical Physics, vol. 376, Springer
Nature, 2020, pp. 1803–73, doi:10.1007/s00220-019-03575-5.
short: M. Rapcak, Y. Soibelman, Y. Yang, G. Zhao, Communications in Mathematical
Physics 376 (2020) 1803–1873.
date_created: 2019-11-12T14:01:27Z
date_published: 2020-06-01T00:00:00Z
date_updated: 2023-08-17T14:02:59Z
day: '01'
department:
- _id: TaHa
doi: 10.1007/s00220-019-03575-5
ec_funded: 1
external_id:
arxiv:
- '1810.10402'
isi:
- '000536255500004'
intvolume: ' 376'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1810.10402
month: '06'
oa: 1
oa_version: Preprint
page: 1803-1873
project:
- _id: 25E549F4-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '320593'
name: Arithmetic and physics of Higgs moduli spaces
publication: Communications in Mathematical Physics
publication_identifier:
eissn:
- 1432-0916
issn:
- 0010-3616
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Cohomological Hall algebras, vertex algebras and instantons
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 376
year: '2020'
...
---
_id: '7033'
abstract:
- lang: eng
text: Removal of the Bax gene from mice completely protects the somas of retinal
ganglion cells (RGCs) from apoptosis following optic nerve injury. This makes
BAX a promising therapeutic target to prevent neurodegeneration. In this study,
Bax+/− mice were used to test the hypothesis that lowering the quantity of BAX
in RGCs would delay apoptosis following optic nerve injury. RGCs were damaged
by performing optic nerve crush (ONC) and then immunostaining for phospho-cJUN,
and quantitative PCR were used to monitor the status of the BAX activation mechanism
in the months following injury. The apoptotic susceptibility of injured cells
was directly tested by virally introducing GFP-BAX into Bax−/− RGCs after injury.
The competency of quiescent RGCs to reactivate their BAX activation mechanism
was tested by intravitreal injection of the JNK pathway agonist, anisomycin. Twenty-four
weeks after ONC, Bax+/− mice had significantly less cell loss in their RGC layer
than Bax+/+ mice 3 weeks after ONC. Bax+/− and Bax+/+ RGCs exhibited similar patterns
of nuclear phospho-cJUN accumulation immediately after ONC, which persisted in
Bax+/− RGCs for up to 7 weeks before abating. The transcriptional activation of
BAX-activating genes was similar in Bax+/− and Bax+/+ RGCs following ONC. Intriguingly,
cells deactivated their BAX activation mechanism between 7 and 12 weeks after
crush. Introduction of GFP-BAX into Bax−/− cells at 4 weeks after ONC showed that
these cells had a nearly normal capacity to activate this protein, but this capacity
was lost 8 weeks after crush. Collectively, these data suggest that 8–12 weeks
after crush, damaged cells no longer displayed increased susceptibility to BAX
activation relative to their naïve counterparts. In this same timeframe, retinal
glial activation and the signaling of the pro-apoptotic JNK pathway also abated.
Quiescent RGCs did not show a timely reactivation of their JNK pathway following
intravitreal injection with anisomycin. These findings demonstrate that lowering
the quantity of BAX in RGCs is neuroprotective after acute injury. Damaged RGCs
enter a quiescent state months after injury and are no longer responsive to an
apoptotic stimulus. Quiescent RGCs will require rejuvenation to reacquire functionality.
acknowledgement: This work was supported by National Eye Institute grants R01 EY012223
(RWN), R01 EY030123 (RWN), T32 EY027721 (Department of Ophthalmology and Visual
Sciences, University of Wisconsin-Madison), and a Vision Science Core grant P30
EY016665 (Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison),
an unrestricted funding grant from Research to Prevent Blindness (Department of
Ophthalmology and Visual Sciences, University of Wisconsin-Madison), the Frederick
A. Davis Endowment (RWN), and the Mr. and Mrs. George Taylor Foundation (RWN).
article_processing_charge: No
article_type: original
author:
- first_name: RJ
full_name: Donahue, RJ
last_name: Donahue
- first_name: Margaret E
full_name: Maes, Margaret E
id: 3838F452-F248-11E8-B48F-1D18A9856A87
last_name: Maes
orcid: 0000-0001-9642-1085
- first_name: JA
full_name: Grosser, JA
last_name: Grosser
- first_name: RW
full_name: Nickells, RW
last_name: Nickells
citation:
ama: Donahue R, Maes ME, Grosser J, Nickells R. BAX-depleted retinal ganglion cells
survive and become quiescent following optic nerve damage. Molecular Neurobiology.
2020;57(2):1070–1084. doi:10.1007/s12035-019-01783-7
apa: Donahue, R., Maes, M. E., Grosser, J., & Nickells, R. (2020). BAX-depleted
retinal ganglion cells survive and become quiescent following optic nerve damage.
Molecular Neurobiology. Springer Nature. https://doi.org/10.1007/s12035-019-01783-7
chicago: Donahue, RJ, Margaret E Maes, JA Grosser, and RW Nickells. “BAX-Depleted
Retinal Ganglion Cells Survive and Become Quiescent Following Optic Nerve Damage.”
Molecular Neurobiology. Springer Nature, 2020. https://doi.org/10.1007/s12035-019-01783-7.
ieee: R. Donahue, M. E. Maes, J. Grosser, and R. Nickells, “BAX-depleted retinal
ganglion cells survive and become quiescent following optic nerve damage,” Molecular
Neurobiology, vol. 57, no. 2. Springer Nature, pp. 1070–1084, 2020.
ista: Donahue R, Maes ME, Grosser J, Nickells R. 2020. BAX-depleted retinal ganglion
cells survive and become quiescent following optic nerve damage. Molecular Neurobiology.
57(2), 1070–1084.
mla: Donahue, RJ, et al. “BAX-Depleted Retinal Ganglion Cells Survive and Become
Quiescent Following Optic Nerve Damage.” Molecular Neurobiology, vol. 57,
no. 2, Springer Nature, 2020, pp. 1070–1084, doi:10.1007/s12035-019-01783-7.
short: R. Donahue, M.E. Maes, J. Grosser, R. Nickells, Molecular Neurobiology 57
(2020) 1070–1084.
date_created: 2019-11-18T14:18:39Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-08-17T14:05:48Z
day: '01'
department:
- _id: SaSi
doi: 10.1007/s12035-019-01783-7
external_id:
isi:
- '000493754200001'
pmid:
- '31673950'
intvolume: ' 57'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035206/
month: '02'
oa: 1
oa_version: Submitted Version
page: 1070–1084
pmid: 1
publication: Molecular Neurobiology
publication_identifier:
eissn:
- 1559-1182
issn:
- 0893-7648
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: BAX-depleted retinal ganglion cells survive and become quiescent following
optic nerve damage
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 57
year: '2020'
...
---
_id: '7084'
abstract:
- lang: eng
text: The unusual correlated state that emerges in URu2Si2 below THO = 17.5 K is
known as “hidden order” because even basic characteristics of the order parameter,
such as its dimensionality (whether it has one component or two), are “hidden.”
We use resonant ultrasound spectroscopy to measure the symmetry-resolved elastic
anomalies across THO. We observe no anomalies in the shear elastic moduli, providing
strong thermodynamic evidence for a one-component order parameter. We develop
a machine learning framework that reaches this conclusion directly from the raw
data, even in a crystal that is too small for traditional resonant ultrasound.
Our result rules out a broad class of theories of hidden order based on two-component
order parameters, and constrains the nature of the fluctuations from which unconventional
superconductivity emerges at lower temperature. Our machine learning framework
is a powerful new tool for classifying the ubiquitous competing orders in correlated
electron systems.
article_number: eaaz4074
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Sayak
full_name: Ghosh, Sayak
last_name: Ghosh
- first_name: Michael
full_name: Matty, Michael
last_name: Matty
- first_name: Ryan
full_name: Baumbach, Ryan
last_name: Baumbach
- first_name: Eric D.
full_name: Bauer, Eric D.
last_name: Bauer
- first_name: Kimberly A
full_name: Modic, Kimberly A
id: 13C26AC0-EB69-11E9-87C6-5F3BE6697425
last_name: Modic
orcid: 0000-0001-9760-3147
- first_name: Arkady
full_name: Shekhter, Arkady
last_name: Shekhter
- first_name: J. A.
full_name: Mydosh, J. A.
last_name: Mydosh
- first_name: Eun-Ah
full_name: Kim, Eun-Ah
last_name: Kim
- first_name: B. J.
full_name: Ramshaw, B. J.
last_name: Ramshaw
citation:
ama: Ghosh S, Matty M, Baumbach R, et al. One-component order parameter in URu2Si2
uncovered by resonant ultrasound spectroscopy and machine learning. Science
Advances. 2020;6(10). doi:10.1126/sciadv.aaz4074
apa: Ghosh, S., Matty, M., Baumbach, R., Bauer, E. D., Modic, K. A., Shekhter, A.,
… Ramshaw, B. J. (2020). One-component order parameter in URu2Si2 uncovered by
resonant ultrasound spectroscopy and machine learning. Science Advances.
American Association for the Advancement of Science. https://doi.org/10.1126/sciadv.aaz4074
chicago: Ghosh, Sayak, Michael Matty, Ryan Baumbach, Eric D. Bauer, Kimberly A Modic,
Arkady Shekhter, J. A. Mydosh, Eun-Ah Kim, and B. J. Ramshaw. “One-Component Order
Parameter in URu2Si2 Uncovered by Resonant Ultrasound Spectroscopy and Machine
Learning.” Science Advances. American Association for the Advancement of
Science, 2020. https://doi.org/10.1126/sciadv.aaz4074.
ieee: S. Ghosh et al., “One-component order parameter in URu2Si2 uncovered
by resonant ultrasound spectroscopy and machine learning,” Science Advances,
vol. 6, no. 10. American Association for the Advancement of Science, 2020.
ista: Ghosh S, Matty M, Baumbach R, Bauer ED, Modic KA, Shekhter A, Mydosh JA, Kim
E-A, Ramshaw BJ. 2020. One-component order parameter in URu2Si2 uncovered by resonant
ultrasound spectroscopy and machine learning. Science Advances. 6(10), eaaz4074.
mla: Ghosh, Sayak, et al. “One-Component Order Parameter in URu2Si2 Uncovered by
Resonant Ultrasound Spectroscopy and Machine Learning.” Science Advances,
vol. 6, no. 10, eaaz4074, American Association for the Advancement of Science,
2020, doi:10.1126/sciadv.aaz4074.
short: S. Ghosh, M. Matty, R. Baumbach, E.D. Bauer, K.A. Modic, A. Shekhter, J.A.
Mydosh, E.-A. Kim, B.J. Ramshaw, Science Advances 6 (2020).
date_created: 2019-11-19T14:01:10Z
date_published: 2020-03-06T00:00:00Z
date_updated: 2022-08-25T15:08:41Z
day: '06'
doi: 10.1126/sciadv.aaz4074
extern: '1'
external_id:
arxiv:
- '1903.00552'
pmid:
- '32181367'
intvolume: ' 6'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1903.00552
month: '03'
oa: 1
oa_version: Preprint
pmid: 1
publication: Science Advances
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
status: public
title: One-component order parameter in URu2Si2 uncovered by resonant ultrasound
spectroscopy and machine learning
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2020'
...
---
_id: '71'
abstract:
- lang: eng
text: "We consider dynamical transport metrics for probability measures on discretisations
of a bounded convex domain in ℝd. These metrics are natural discrete counterparts
to the Kantorovich metric \U0001D54E2, defined using a Benamou-Brenier type formula.
Under mild assumptions we prove an asymptotic upper bound for the discrete transport
metric Wt in terms of \U0001D54E2, as the size of the mesh T tends to 0. However,
we show that the corresponding lower bound may fail in general, even on certain
one-dimensional and symmetric two-dimensional meshes. In addition, we show that
the asymptotic lower bound holds under an isotropy assumption on the mesh, which
turns out to be essentially necessary. This assumption is satisfied, e.g., for
tilings by convex regular polygons, and it implies Gromov-Hausdorff convergence
of the transport metric."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Peter
full_name: Gladbach, Peter
last_name: Gladbach
- first_name: Eva
full_name: Kopfer, Eva
last_name: Kopfer
- first_name: Jan
full_name: Maas, Jan
id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
last_name: Maas
orcid: 0000-0002-0845-1338
citation:
ama: Gladbach P, Kopfer E, Maas J. Scaling limits of discrete optimal transport.
SIAM Journal on Mathematical Analysis. 2020;52(3):2759-2802. doi:10.1137/19M1243440
apa: Gladbach, P., Kopfer, E., & Maas, J. (2020). Scaling limits of discrete
optimal transport. SIAM Journal on Mathematical Analysis. Society for Industrial
and Applied Mathematics. https://doi.org/10.1137/19M1243440
chicago: Gladbach, Peter, Eva Kopfer, and Jan Maas. “Scaling Limits of Discrete
Optimal Transport.” SIAM Journal on Mathematical Analysis. Society for
Industrial and Applied Mathematics, 2020. https://doi.org/10.1137/19M1243440.
ieee: P. Gladbach, E. Kopfer, and J. Maas, “Scaling limits of discrete optimal transport,”
SIAM Journal on Mathematical Analysis, vol. 52, no. 3. Society for Industrial
and Applied Mathematics, pp. 2759–2802, 2020.
ista: Gladbach P, Kopfer E, Maas J. 2020. Scaling limits of discrete optimal transport.
SIAM Journal on Mathematical Analysis. 52(3), 2759–2802.
mla: Gladbach, Peter, et al. “Scaling Limits of Discrete Optimal Transport.” SIAM
Journal on Mathematical Analysis, vol. 52, no. 3, Society for Industrial and
Applied Mathematics, 2020, pp. 2759–802, doi:10.1137/19M1243440.
short: P. Gladbach, E. Kopfer, J. Maas, SIAM Journal on Mathematical Analysis 52
(2020) 2759–2802.
date_created: 2018-12-11T11:44:28Z
date_published: 2020-10-01T00:00:00Z
date_updated: 2023-09-18T08:13:15Z
day: '01'
department:
- _id: JaMa
doi: 10.1137/19M1243440
external_id:
arxiv:
- '1809.01092'
isi:
- '000546975100017'
intvolume: ' 52'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1809.01092
month: '10'
oa: 1
oa_version: Preprint
page: 2759-2802
publication: SIAM Journal on Mathematical Analysis
publication_identifier:
eissn:
- '10957154'
issn:
- '00361410'
publication_status: published
publisher: Society for Industrial and Applied Mathematics
publist_id: '7983'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scaling limits of discrete optimal transport
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 52
year: '2020'
...
---
_id: '7142'
abstract:
- lang: eng
text: The phytohormone auxin acts as an amazingly versatile coordinator of plant
growth and development. With its morphogen-like properties, auxin controls sites
and timing of differentiation and/or growth responses both, in quantitative and
qualitative terms. Specificity in the auxin response depends largely on distinct
modes of signal transmission, by which individual cells perceive and convert auxin
signals into a remarkable diversity of responses. The best understood, or so-called
canonical mechanism of auxin perception ultimately results in variable adjustments
of the cellular transcriptome, via a short, nuclear signal transduction pathway.
Additional findings that accumulated over decades implied that an additional,
presumably, cell surface-based auxin perception mechanism mediates very rapid
cellular responses and decisively contributes to the cell's overall hormonal response.
Recent investigations into both, nuclear and cell surface auxin signalling challenged
this assumed partition of roles for different auxin signalling pathways and revealed
an unexpected complexity in transcriptional and non-transcriptional cellular responses
mediated by auxin.
acknowledgement: Research in J.F. laboratory is funded by the European Union's Horizon
2020 program (ERC grant agreement n° 742985); C.L. is supported by the Austrian
Science Fund (FWF grant P 31493).
article_processing_charge: No
article_type: original
author:
- first_name: Michelle C
full_name: Gallei, Michelle C
id: 35A03822-F248-11E8-B48F-1D18A9856A87
last_name: Gallei
orcid: 0000-0003-1286-7368
- first_name: Christian
full_name: Luschnig, Christian
last_name: Luschnig
- first_name: Jiří
full_name: Friml, Jiří
id: 4159519E-F248-11E8-B48F-1D18A9856A87
last_name: Friml
orcid: 0000-0002-8302-7596
citation:
ama: 'Gallei MC, Luschnig C, Friml J. Auxin signalling in growth: Schrödinger’s
cat out of the bag. Current Opinion in Plant Biology. 2020;53(2):43-49.
doi:10.1016/j.pbi.2019.10.003'
apa: 'Gallei, M. C., Luschnig, C., & Friml, J. (2020). Auxin signalling in growth:
Schrödinger’s cat out of the bag. Current Opinion in Plant Biology. Elsevier.
https://doi.org/10.1016/j.pbi.2019.10.003'
chicago: 'Gallei, Michelle C, Christian Luschnig, and Jiří Friml. “Auxin Signalling
in Growth: Schrödinger’s Cat out of the Bag.” Current Opinion in Plant Biology.
Elsevier, 2020. https://doi.org/10.1016/j.pbi.2019.10.003.'
ieee: 'M. C. Gallei, C. Luschnig, and J. Friml, “Auxin signalling in growth: Schrödinger’s
cat out of the bag,” Current Opinion in Plant Biology, vol. 53, no. 2.
Elsevier, pp. 43–49, 2020.'
ista: 'Gallei MC, Luschnig C, Friml J. 2020. Auxin signalling in growth: Schrödinger’s
cat out of the bag. Current Opinion in Plant Biology. 53(2), 43–49.'
mla: 'Gallei, Michelle C., et al. “Auxin Signalling in Growth: Schrödinger’s Cat
out of the Bag.” Current Opinion in Plant Biology, vol. 53, no. 2, Elsevier,
2020, pp. 43–49, doi:10.1016/j.pbi.2019.10.003.'
short: M.C. Gallei, C. Luschnig, J. Friml, Current Opinion in Plant Biology 53 (2020)
43–49.
date_created: 2019-12-02T12:05:26Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-08-17T14:07:22Z
day: '01'
department:
- _id: JiFr
doi: 10.1016/j.pbi.2019.10.003
ec_funded: 1
external_id:
isi:
- '000521120600007'
pmid:
- '31760231'
intvolume: ' 53'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa_version: None
page: 43-49
pmid: 1
project:
- _id: 261099A6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '742985'
name: Tracing Evolution of Auxin Transport and Polarity in Plants
publication: Current Opinion in Plant Biology
publication_identifier:
eissn:
- 1879-0356
issn:
- 1369-5266
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '11626'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 'Auxin signalling in growth: Schrödinger''s cat out of the bag'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 53
year: '2020'
...