---
_id: '6748'
abstract:
- lang: eng
text: "Fitting a function by using linear combinations of a large number N of `simple'
components is one of the most fruitful ideas in statistical learning. This idea
lies at the core of a variety of methods, from two-layer neural networks to kernel
regression, to boosting. In general, the resulting risk minimization problem is
non-convex and is solved by gradient descent or its variants. Unfortunately, little
is known about global convergence properties of these approaches.\r\nHere we consider
the problem of learning a concave function f on a compact convex domain Ω⊆ℝd,
using linear combinations of `bump-like' components (neurons). The parameters
to be fitted are the centers of N bumps, and the resulting empirical risk minimization
problem is highly non-convex. We prove that, in the limit in which the number
of neurons diverges, the evolution of gradient descent converges to a Wasserstein
gradient flow in the space of probability distributions over Ω. Further, when
the bump width δ tends to 0, this gradient flow has a limit which is a viscous
porous medium equation. Remarkably, the cost function optimized by this gradient
flow exhibits a special property known as displacement convexity, which implies
exponential convergence rates for N→∞, δ→0. Surprisingly, this asymptotic theory
appears to capture well the behavior for moderate values of δ,N. Explaining this
phenomenon, and understanding the dependence on δ,N in a quantitative manner remains
an outstanding challenge."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Adel
full_name: Javanmard, Adel
last_name: Javanmard
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
- first_name: Andrea
full_name: Montanari, Andrea
last_name: Montanari
citation:
ama: Javanmard A, Mondelli M, Montanari A. Analysis of a two-layer neural network
via displacement convexity. Annals of Statistics. 2020;48(6):3619-3642.
doi:10.1214/20-AOS1945
apa: Javanmard, A., Mondelli, M., & Montanari, A. (2020). Analysis of a two-layer
neural network via displacement convexity. Annals of Statistics. Institute
of Mathematical Statistics. https://doi.org/10.1214/20-AOS1945
chicago: Javanmard, Adel, Marco Mondelli, and Andrea Montanari. “Analysis of a Two-Layer
Neural Network via Displacement Convexity.” Annals of Statistics. Institute
of Mathematical Statistics, 2020. https://doi.org/10.1214/20-AOS1945.
ieee: A. Javanmard, M. Mondelli, and A. Montanari, “Analysis of a two-layer neural
network via displacement convexity,” Annals of Statistics, vol. 48, no.
6. Institute of Mathematical Statistics, pp. 3619–3642, 2020.
ista: Javanmard A, Mondelli M, Montanari A. 2020. Analysis of a two-layer neural
network via displacement convexity. Annals of Statistics. 48(6), 3619–3642.
mla: Javanmard, Adel, et al. “Analysis of a Two-Layer Neural Network via Displacement
Convexity.” Annals of Statistics, vol. 48, no. 6, Institute of Mathematical
Statistics, 2020, pp. 3619–42, doi:10.1214/20-AOS1945.
short: A. Javanmard, M. Mondelli, A. Montanari, Annals of Statistics 48 (2020) 3619–3642.
date_created: 2019-07-31T09:39:42Z
date_published: 2020-12-11T00:00:00Z
date_updated: 2024-10-21T06:02:33Z
day: '11'
department:
- _id: MaMo
doi: 10.1214/20-AOS1945
external_id:
arxiv:
- '1901.01375'
isi:
- '000598369200021'
intvolume: ' 48'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1901.01375
month: '12'
oa: 1
oa_version: Preprint
page: 3619-3642
publication: Annals of Statistics
publication_identifier:
eissn:
- 1941-7330
issn:
- 1932-6157
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
scopus_import: '1'
status: public
title: Analysis of a two-layer neural network via displacement convexity
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 48
year: '2020'
...
---
_id: '6761'
abstract:
- lang: eng
text: In resource allocation games, selfish players share resources that are needed
in order to fulfill their objectives. The cost of using a resource depends on
the load on it. In the traditional setting, the players make their choices concurrently
and in one-shot. That is, a strategy for a player is a subset of the resources.
We introduce and study dynamic resource allocation games. In this setting, the
game proceeds in phases. In each phase each player chooses one resource. A scheduler
dictates the order in which the players proceed in a phase, possibly scheduling
several players to proceed concurrently. The game ends when each player has collected
a set of resources that fulfills his objective. The cost for each player then
depends on this set as well as on the load on the resources in it – we consider
both congestion and cost-sharing games. We argue that the dynamic setting is the
suitable setting for many applications in practice. We study the stability of
dynamic resource allocation games, where the appropriate notion of stability is
that of subgame perfect equilibrium, study the inefficiency incurred due to selfish
behavior, and also study problems that are particular to the dynamic setting,
like constraints on the order in which resources can be chosen or the problem
of finding a scheduler that achieves stability.
article_processing_charge: No
article_type: original
author:
- first_name: Guy
full_name: Avni, Guy
id: 463C8BC2-F248-11E8-B48F-1D18A9856A87
last_name: Avni
orcid: 0000-0001-5588-8287
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Orna
full_name: Kupferman, Orna
last_name: Kupferman
citation:
ama: Avni G, Henzinger TA, Kupferman O. Dynamic resource allocation games. Theoretical
Computer Science. 2020;807:42-55. doi:10.1016/j.tcs.2019.06.031
apa: Avni, G., Henzinger, T. A., & Kupferman, O. (2020). Dynamic resource allocation
games. Theoretical Computer Science. Elsevier. https://doi.org/10.1016/j.tcs.2019.06.031
chicago: Avni, Guy, Thomas A Henzinger, and Orna Kupferman. “Dynamic Resource Allocation
Games.” Theoretical Computer Science. Elsevier, 2020. https://doi.org/10.1016/j.tcs.2019.06.031.
ieee: G. Avni, T. A. Henzinger, and O. Kupferman, “Dynamic resource allocation games,”
Theoretical Computer Science, vol. 807. Elsevier, pp. 42–55, 2020.
ista: Avni G, Henzinger TA, Kupferman O. 2020. Dynamic resource allocation games.
Theoretical Computer Science. 807, 42–55.
mla: Avni, Guy, et al. “Dynamic Resource Allocation Games.” Theoretical Computer
Science, vol. 807, Elsevier, 2020, pp. 42–55, doi:10.1016/j.tcs.2019.06.031.
short: G. Avni, T.A. Henzinger, O. Kupferman, Theoretical Computer Science 807 (2020)
42–55.
date_created: 2019-08-04T21:59:20Z
date_published: 2020-02-06T00:00:00Z
date_updated: 2026-04-16T09:35:15Z
day: '06'
ddc:
- '000'
department:
- _id: ToHe
doi: 10.1016/j.tcs.2019.06.031
external_id:
isi:
- '000512219400004'
file:
- access_level: open_access
checksum: e86635417f45eb2cd75778f91382f737
content_type: application/pdf
creator: dernst
date_created: 2020-10-09T06:31:22Z
date_updated: 2020-10-09T06:31:22Z
file_id: '8639'
file_name: 2020_TheoreticalCS_Avni.pdf
file_size: 1413001
relation: main_file
success: 1
file_date_updated: 2020-10-09T06:31:22Z
has_accepted_license: '1'
intvolume: ' 807'
isi: 1
language:
- iso: eng
month: '02'
oa: 1
oa_version: Submitted Version
page: 42-55
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: Formal methods for the design and analysis of complex systems
- _id: 264B3912-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02369
name: Formal Methods meets Algorithmic Game Theory
publication: Theoretical Computer Science
publication_identifier:
issn:
- 0304-3975
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '1341'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Dynamic resource allocation games
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 807
year: '2020'
...
---
_id: '6796'
abstract:
- lang: eng
text: Nearby grid cells have been observed to express a remarkable degree of long-rangeorder,
which is often idealized as extending potentially to infinity. Yet their strict
peri-odic firing and ensemble coherence are theoretically possible only in flat
environments, much unlike the burrows which rodents usually live in. Are the symmetrical,
coherent grid maps inferred in the lab relevant to chart their way in their natural
habitat? We consider spheres as simple models of curved environments and waiting
for the appropriate experiments to be performed, we use our adaptation model to
predict what grid maps would emerge in a network with the same type of recurrent
connections, which on the plane produce coherence among the units. We find that
on the sphere such connections distort the maps that single grid units would express
on their own, and aggregate them into clusters. When remapping to a different
spherical environment, units in each cluster maintain only partial coherence,
similar to what is observed in disordered materials, such as spin glasses.
article_processing_charge: No
article_type: original
author:
- first_name: Federico
full_name: Stella, Federico
id: 39AF1E74-F248-11E8-B48F-1D18A9856A87
last_name: Stella
orcid: 0000-0001-9439-3148
- first_name: Eugenio
full_name: Urdapilleta, Eugenio
last_name: Urdapilleta
- first_name: Yifan
full_name: Luo, Yifan
last_name: Luo
- first_name: Alessandro
full_name: Treves, Alessandro
last_name: Treves
citation:
ama: Stella F, Urdapilleta E, Luo Y, Treves A. Partial coherence and frustration
in self-organizing spherical grids. Hippocampus. 2020;30(4):302-313. doi:10.1002/hipo.23144
apa: Stella, F., Urdapilleta, E., Luo, Y., & Treves, A. (2020). Partial coherence
and frustration in self-organizing spherical grids. Hippocampus. Wiley.
https://doi.org/10.1002/hipo.23144
chicago: Stella, Federico, Eugenio Urdapilleta, Yifan Luo, and Alessandro Treves.
“Partial Coherence and Frustration in Self-Organizing Spherical Grids.” Hippocampus.
Wiley, 2020. https://doi.org/10.1002/hipo.23144.
ieee: F. Stella, E. Urdapilleta, Y. Luo, and A. Treves, “Partial coherence and frustration
in self-organizing spherical grids,” Hippocampus, vol. 30, no. 4. Wiley,
pp. 302–313, 2020.
ista: Stella F, Urdapilleta E, Luo Y, Treves A. 2020. Partial coherence and frustration
in self-organizing spherical grids. Hippocampus. 30(4), 302–313.
mla: Stella, Federico, et al. “Partial Coherence and Frustration in Self-Organizing
Spherical Grids.” Hippocampus, vol. 30, no. 4, Wiley, 2020, pp. 302–13,
doi:10.1002/hipo.23144.
short: F. Stella, E. Urdapilleta, Y. Luo, A. Treves, Hippocampus 30 (2020) 302–313.
date_created: 2019-08-11T21:59:24Z
date_published: 2020-04-01T00:00:00Z
date_updated: 2025-05-22T11:13:25Z
day: '01'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1002/hipo.23144
external_id:
isi:
- '000477299600001'
pmid:
- '31339190'
file:
- access_level: open_access
checksum: 7b54d22bfbfc0d1188a9ea24d985bfb2
content_type: application/pdf
creator: dernst
date_created: 2019-08-12T07:53:33Z
date_updated: 2020-07-14T12:47:40Z
file_id: '6800'
file_name: 2019_Hippocampus_Stella.pdf
file_size: 2370658
relation: main_file
file_date_updated: 2020-07-14T12:47:40Z
has_accepted_license: '1'
intvolume: ' 30'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 302-313
pmid: 1
publication: Hippocampus
publication_identifier:
eissn:
- 1098-1063
issn:
- 1050-9631
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Partial coherence and frustration in self-organizing spherical grids
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: 9947682f-b9fa-11ee-9c4a-b3ffaafe6614
volume: 30
year: '2020'
...
---
_id: '6808'
abstract:
- lang: eng
text: Super-resolution fluorescence microscopy has become an important catalyst
for discovery in the life sciences. In STimulated Emission Depletion (STED) microscopy,
a pattern of light drives fluorophores from a signal-emitting on-state to a non-signalling
off-state. Only emitters residing in a sub-diffraction volume around an intensity
minimum are allowed to fluoresce, rendering them distinguishable from the nearby,
but dark fluorophores. STED routinely achieves resolution in the few tens of nanometers
range in biological samples and is suitable for live imaging. Here, we review
the working principle of STED and provide general guidelines for successful STED
imaging. The strive for ever higher resolution comes at the cost of increased
light burden. We discuss techniques to reduce light exposure and mitigate its
detrimental effects on the specimen. These include specialized illumination strategies
as well as protecting fluorophores from photobleaching mediated by high-intensity
STED light. This opens up the prospect of volumetric imaging in living cells and
tissues with diffraction-unlimited resolution in all three spatial dimensions.
article_processing_charge: No
article_type: original
author:
- first_name: Wiebke
full_name: Jahr, Wiebke
id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
last_name: Jahr
- first_name: Philipp
full_name: Velicky, Philipp
id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
last_name: Velicky
orcid: 0000-0002-2340-7431
- first_name: Johann G
full_name: Danzl, Johann G
id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
last_name: Danzl
orcid: 0000-0001-8559-3973
citation:
ama: Jahr W, Velicky P, Danzl JG. Strategies to maximize performance in STimulated
Emission Depletion (STED) nanoscopy of biological specimens. Methods. 2020;174(3):27-41.
doi:10.1016/j.ymeth.2019.07.019
apa: Jahr, W., Velicky, P., & Danzl, J. G. (2020). Strategies to maximize performance
in STimulated Emission Depletion (STED) nanoscopy of biological specimens. Methods.
Elsevier. https://doi.org/10.1016/j.ymeth.2019.07.019
chicago: Jahr, Wiebke, Philipp Velicky, and Johann G Danzl. “Strategies to Maximize
Performance in STimulated Emission Depletion (STED) Nanoscopy of Biological Specimens.”
Methods. Elsevier, 2020. https://doi.org/10.1016/j.ymeth.2019.07.019.
ieee: W. Jahr, P. Velicky, and J. G. Danzl, “Strategies to maximize performance
in STimulated Emission Depletion (STED) nanoscopy of biological specimens,” Methods,
vol. 174, no. 3. Elsevier, pp. 27–41, 2020.
ista: Jahr W, Velicky P, Danzl JG. 2020. Strategies to maximize performance in STimulated
Emission Depletion (STED) nanoscopy of biological specimens. Methods. 174(3),
27–41.
mla: Jahr, Wiebke, et al. “Strategies to Maximize Performance in STimulated Emission
Depletion (STED) Nanoscopy of Biological Specimens.” Methods, vol. 174,
no. 3, Elsevier, 2020, pp. 27–41, doi:10.1016/j.ymeth.2019.07.019.
short: W. Jahr, P. Velicky, J.G. Danzl, Methods 174 (2020) 27–41.
date_created: 2019-08-12T16:36:32Z
date_published: 2020-03-01T00:00:00Z
date_updated: 2025-04-14T09:39:25Z
day: '01'
department:
- _id: JoDa
doi: 10.1016/j.ymeth.2019.07.019
external_id:
isi:
- '000525860400005'
pmid:
- '31344404'
intvolume: ' 174'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100895/
month: '03'
oa: 1
oa_version: Submitted Version
page: 27-41
pmid: 1
project:
- _id: 265CB4D0-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I03600
name: Optical control of synaptic function via adhesion molecules
- _id: 2668BFA0-B435-11E9-9278-68D0E5697425
grant_number: LT00057
name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration
publication: Methods
publication_identifier:
issn:
- 1046-2023
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Strategies to maximize performance in STimulated Emission Depletion (STED)
nanoscopy of biological specimens
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 174
year: '2020'
...
---
_id: '6906'
abstract:
- lang: eng
text: We consider systems of bosons trapped in a box, in the Gross–Pitaevskii regime.
We show that low-energy states exhibit complete Bose–Einstein condensation with
an optimal bound on the number of orthogonal excitations. This extends recent
results obtained in Boccato et al. (Commun Math Phys 359(3):975–1026, 2018), removing
the assumption of small interaction potential.
acknowledgement: "We would like to thank P. T. Nam and R. Seiringer for several useful
discussions and\r\nfor suggesting us to use the localization techniques from [9].
C. Boccato has received funding from the\r\nEuropean Research Council (ERC) under
the programme Horizon 2020 (Grant Agreement 694227). B. Schlein gratefully acknowledges
support from the NCCR SwissMAP and from the Swiss National Foundation of Science
(Grant No. 200020_1726230) through the SNF Grant “Dynamical and energetic properties
of Bose–Einstein condensates”."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Chiara
full_name: Boccato, Chiara
id: 342E7E22-F248-11E8-B48F-1D18A9856A87
last_name: Boccato
- first_name: Christian
full_name: Brennecke, Christian
last_name: Brennecke
- first_name: Serena
full_name: Cenatiempo, Serena
last_name: Cenatiempo
- first_name: Benjamin
full_name: Schlein, Benjamin
last_name: Schlein
citation:
ama: Boccato C, Brennecke C, Cenatiempo S, Schlein B. Optimal rate for Bose-Einstein
condensation in the Gross-Pitaevskii regime. Communications in Mathematical
Physics. 2020;376:1311-1395. doi:10.1007/s00220-019-03555-9
apa: Boccato, C., Brennecke, C., Cenatiempo, S., & Schlein, B. (2020). Optimal
rate for Bose-Einstein condensation in the Gross-Pitaevskii regime. Communications
in Mathematical Physics. Springer. https://doi.org/10.1007/s00220-019-03555-9
chicago: Boccato, Chiara, Christian Brennecke, Serena Cenatiempo, and Benjamin Schlein.
“Optimal Rate for Bose-Einstein Condensation in the Gross-Pitaevskii Regime.”
Communications in Mathematical Physics. Springer, 2020. https://doi.org/10.1007/s00220-019-03555-9.
ieee: C. Boccato, C. Brennecke, S. Cenatiempo, and B. Schlein, “Optimal rate for
Bose-Einstein condensation in the Gross-Pitaevskii regime,” Communications
in Mathematical Physics, vol. 376. Springer, pp. 1311–1395, 2020.
ista: Boccato C, Brennecke C, Cenatiempo S, Schlein B. 2020. Optimal rate for Bose-Einstein
condensation in the Gross-Pitaevskii regime. Communications in Mathematical Physics.
376, 1311–1395.
mla: Boccato, Chiara, et al. “Optimal Rate for Bose-Einstein Condensation in the
Gross-Pitaevskii Regime.” Communications in Mathematical Physics, vol.
376, Springer, 2020, pp. 1311–95, doi:10.1007/s00220-019-03555-9.
short: C. Boccato, C. Brennecke, S. Cenatiempo, B. Schlein, Communications in Mathematical
Physics 376 (2020) 1311–1395.
date_created: 2019-09-24T17:30:59Z
date_published: 2020-06-01T00:00:00Z
date_updated: 2025-04-14T07:27:00Z
day: '01'
department:
- _id: RoSe
doi: 10.1007/s00220-019-03555-9
ec_funded: 1
external_id:
arxiv:
- '1812.03086'
isi:
- '000536053300012'
intvolume: ' 376'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1812.03086
month: '06'
oa: 1
oa_version: Preprint
page: 1311-1395
project:
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694227'
name: Analysis of quantum many-body systems
publication: Communications in Mathematical Physics
publication_identifier:
eissn:
- 1432-0916
issn:
- 0010-3616
publication_status: published
publisher: Springer
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optimal rate for Bose-Einstein condensation in the Gross-Pitaevskii regime
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 376
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.
corr_author: '1'
date_created: 2019-10-14T09:14:28Z
date_published: 2020-04-01T00:00:00Z
date_updated: 2025-04-15T07:10:25Z
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.
corr_author: '1'
date_created: 2019-10-17T13:38:20Z
date_published: 2020-04-01T00:00:00Z
date_updated: 2025-04-15T06:53:15Z
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.
corr_author: '1'
date_created: 2019-11-12T11:41:32Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2025-04-14T07:45:04Z
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: 2025-04-14T09:12:46Z
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: 2025-07-10T11:54:14Z
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:
- 1095-7154
issn:
- 0036-1410
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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.
corr_author: '1'
date_created: 2019-12-02T12:05:26Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2026-04-07T14:18:57Z
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'
...
---
_id: '10012'
abstract:
- lang: eng
text: We prove that in the absence of topological changes, the notion of BV solutions
to planar multiphase mean curvature flow does not allow for a mechanism for (unphysical)
non-uniqueness. Our approach is based on the local structure of the energy landscape
near a classical evolution by mean curvature. Mean curvature flow being the gradient
flow of the surface energy functional, we develop a gradient-flow analogue of
the notion of calibrations. Just like the existence of a calibration guarantees
that one has reached a global minimum in the energy landscape, the existence of
a "gradient flow calibration" ensures that the route of steepest descent in the
energy landscape is unique and stable.
acknowledgement: Parts of the paper were written during the visit of the authors to
the Hausdorff Research Institute for Mathematics (HIM), University of Bonn, in the
framework of the trimester program “Evolution of Interfaces”. The support and the
hospitality of HIM are gratefully acknowledged. This project has received funding
from the European Union’s Horizon 2020 research and innovation programme under the
Marie Sklodowska-Curie Grant Agreement No. 665385.
article_number: '2003.05478'
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: Sebastian
full_name: Hensel, Sebastian
id: 4D23B7DA-F248-11E8-B48F-1D18A9856A87
last_name: Hensel
orcid: 0000-0001-7252-8072
- first_name: Tim
full_name: Laux, Tim
last_name: Laux
- first_name: Thilo
full_name: Simon, Thilo
last_name: Simon
citation:
ama: 'Fischer JL, Hensel S, Laux T, Simon T. The local structure of the energy landscape
in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions.
arXiv. doi:10.48550/arXiv.2003.05478'
apa: 'Fischer, J. L., Hensel, S., Laux, T., & Simon, T. (n.d.). The local structure
of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness
and stability of evolutions. arXiv. https://doi.org/10.48550/arXiv.2003.05478'
chicago: 'Fischer, Julian L, Sebastian Hensel, Tim Laux, and Thilo Simon. “The Local
Structure of the Energy Landscape in Multiphase Mean Curvature Flow: Weak-Strong
Uniqueness and Stability of Evolutions.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2003.05478.'
ieee: 'J. L. Fischer, S. Hensel, T. Laux, and T. Simon, “The local structure of
the energy landscape in multiphase mean curvature flow: weak-strong uniqueness
and stability of evolutions,” arXiv. .'
ista: 'Fischer JL, Hensel S, Laux T, Simon T. The local structure of the energy
landscape in multiphase mean curvature flow: weak-strong uniqueness and stability
of evolutions. arXiv, 2003.05478.'
mla: 'Fischer, Julian L., et al. “The Local Structure of the Energy Landscape in
Multiphase Mean Curvature Flow: Weak-Strong Uniqueness and Stability of Evolutions.”
ArXiv, 2003.05478, doi:10.48550/arXiv.2003.05478.'
short: J.L. Fischer, S. Hensel, T. Laux, T. Simon, ArXiv (n.d.).
date_created: 2021-09-13T12:17:11Z
date_published: 2020-03-11T00:00:00Z
date_updated: 2026-04-08T07:01:01Z
day: '11'
department:
- _id: JuFi
doi: 10.48550/arXiv.2003.05478
ec_funded: 1
external_id:
arxiv:
- '2003.05478'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2003.05478
month: '03'
oa: 1
oa_version: Preprint
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: arXiv
publication_status: draft
related_material:
record:
- id: '10007'
relation: dissertation_contains
status: public
status: public
title: 'The local structure of the energy landscape in multiphase mean curvature flow:
weak-strong uniqueness and stability of evolutions'
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '10022'
abstract:
- lang: eng
text: We consider finite-volume approximations of Fokker-Planck equations on bounded
convex domains in R^d and study the corresponding gradient flow structures. We
reprove the convergence of the discrete to continuous Fokker-Planck equation via
the method of Evolutionary Γ-convergence, i.e., we pass to the limit at the level
of the gradient flow structures, generalising the one-dimensional result obtained
by Disser and Liero. The proof is of variational nature and relies on a Mosco
convergence result for functionals in the discrete-to-continuum limit that is
of independent interest. Our results apply to arbitrary regular meshes, even though
the associated discrete transport distances may fail to converge to the Wasserstein
distance in this generality.
acknowledgement: This work is supported by the European Research Council (ERC) under
the European Union’s Horizon 2020 research and innovation programme (grant agreement
No 716117) and by the Austrian Science Fund (FWF), grants No F65 and W1245.
article_number: '2008.10962'
article_processing_charge: No
arxiv: 1
author:
- first_name: Dominik L
full_name: Forkert, Dominik L
id: 35C79D68-F248-11E8-B48F-1D18A9856A87
last_name: Forkert
- first_name: Jan
full_name: Maas, Jan
id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
last_name: Maas
orcid: 0000-0002-0845-1338
- first_name: Lorenzo
full_name: Portinale, Lorenzo
id: 30AD2CBC-F248-11E8-B48F-1D18A9856A87
last_name: Portinale
citation:
ama: Forkert DL, Maas J, Portinale L. Evolutionary Γ-convergence of entropic gradient
flow structures for Fokker-Planck equations in multiple dimensions. arXiv.
doi:10.48550/arXiv.2008.10962
apa: Forkert, D. L., Maas, J., & Portinale, L. (n.d.). Evolutionary Γ-convergence
of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions.
arXiv. https://doi.org/10.48550/arXiv.2008.10962
chicago: Forkert, Dominik L, Jan Maas, and Lorenzo Portinale. “Evolutionary Γ-Convergence
of Entropic Gradient Flow Structures for Fokker-Planck Equations in Multiple Dimensions.”
ArXiv, n.d. https://doi.org/10.48550/arXiv.2008.10962.
ieee: D. L. Forkert, J. Maas, and L. Portinale, “Evolutionary Γ-convergence of entropic
gradient flow structures for Fokker-Planck equations in multiple dimensions,”
arXiv. .
ista: Forkert DL, Maas J, Portinale L. Evolutionary Γ-convergence of entropic gradient
flow structures for Fokker-Planck equations in multiple dimensions. arXiv, 2008.10962.
mla: Forkert, Dominik L., et al. “Evolutionary Γ-Convergence of Entropic Gradient
Flow Structures for Fokker-Planck Equations in Multiple Dimensions.” ArXiv,
2008.10962, doi:10.48550/arXiv.2008.10962.
short: D.L. Forkert, J. Maas, L. Portinale, ArXiv (n.d.).
corr_author: '1'
date_created: 2021-09-17T10:57:27Z
date_published: 2020-08-25T00:00:00Z
date_updated: 2026-04-08T07:00:03Z
day: '25'
department:
- _id: JaMa
doi: 10.48550/arXiv.2008.10962
ec_funded: 1
external_id:
arxiv:
- '2008.10962'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2008.10962
month: '08'
oa: 1
oa_version: Preprint
project:
- _id: 256E75B8-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '716117'
name: Optimal Transport and Stochastic Dynamics
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
grant_number: F6504
name: Taming Complexity in Partial Differential Systems
publication: arXiv
publication_status: draft
related_material:
record:
- id: '11739'
relation: later_version
status: public
- id: '10030'
relation: dissertation_contains
status: public
status: public
title: Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck
equations in multiple dimensions
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '10328'
abstract:
- lang: eng
text: We discus noise channels in coherent electro-optic up-conversion between microwave
and optical fields, in particular due to optical heating. We also report on a
novel configuration, which promises to be flexible and highly efficient.
alternative_title:
- OSA Technical Digest
article_number: QTu8A.1
article_processing_charge: No
author:
- first_name: Nicholas J.
full_name: Lambert, Nicholas J.
last_name: Lambert
- first_name: Sonia
full_name: Mobassem, Sonia
last_name: Mobassem
- first_name: Alfredo R
full_name: Rueda Sanchez, Alfredo R
id: 3B82B0F8-F248-11E8-B48F-1D18A9856A87
last_name: Rueda Sanchez
orcid: 0000-0001-6249-5860
- first_name: Harald G.L.
full_name: Schwefel, Harald G.L.
last_name: Schwefel
citation:
ama: 'Lambert NJ, Mobassem S, Rueda Sanchez AR, Schwefel HGL. New designs and noise
channels in electro-optic microwave to optical up-conversion. In: OSA Quantum
2.0 Conference. Optica Publishing Group; 2020. doi:10.1364/QUANTUM.2020.QTu8A.1'
apa: 'Lambert, N. J., Mobassem, S., Rueda Sanchez, A. R., & Schwefel, H. G.
L. (2020). New designs and noise channels in electro-optic microwave to optical
up-conversion. In OSA Quantum 2.0 Conference. Washington, DC, United States:
Optica Publishing Group. https://doi.org/10.1364/QUANTUM.2020.QTu8A.1'
chicago: Lambert, Nicholas J., Sonia Mobassem, Alfredo R Rueda Sanchez, and Harald
G.L. Schwefel. “New Designs and Noise Channels in Electro-Optic Microwave to Optical
up-Conversion.” In OSA Quantum 2.0 Conference. Optica Publishing Group,
2020. https://doi.org/10.1364/QUANTUM.2020.QTu8A.1.
ieee: N. J. Lambert, S. Mobassem, A. R. Rueda Sanchez, and H. G. L. Schwefel, “New
designs and noise channels in electro-optic microwave to optical up-conversion,”
in OSA Quantum 2.0 Conference, Washington, DC, United States, 2020.
ista: 'Lambert NJ, Mobassem S, Rueda Sanchez AR, Schwefel HGL. 2020. New designs
and noise channels in electro-optic microwave to optical up-conversion. OSA Quantum
2.0 Conference. OSA: Optical Society of America, OSA Technical Digest, , QTu8A.1.'
mla: Lambert, Nicholas J., et al. “New Designs and Noise Channels in Electro-Optic
Microwave to Optical up-Conversion.” OSA Quantum 2.0 Conference, QTu8A.1,
Optica Publishing Group, 2020, doi:10.1364/QUANTUM.2020.QTu8A.1.
short: N.J. Lambert, S. Mobassem, A.R. Rueda Sanchez, H.G.L. Schwefel, in:, OSA
Quantum 2.0 Conference, Optica Publishing Group, 2020.
conference:
end_date: 2020-09-17
location: Washington, DC, United States
name: 'OSA: Optical Society of America'
start_date: 2020-09-14
date_created: 2021-11-21T23:01:31Z
date_published: 2020-01-01T00:00:00Z
date_updated: 2023-10-18T08:32:34Z
day: '01'
department:
- _id: JoFi
doi: 10.1364/QUANTUM.2020.QTu8A.1
language:
- iso: eng
month: '01'
oa_version: None
publication: OSA Quantum 2.0 Conference
publication_identifier:
isbn:
- 9-781-5575-2820-9
publication_status: published
publisher: Optica Publishing Group
quality_controlled: '1'
scopus_import: '1'
status: public
title: New designs and noise channels in electro-optic microwave to optical up-conversion
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '10336'
abstract:
- lang: eng
text: Biological membranes can dramatically accelerate the aggregation of normally
soluble protein molecules into amyloid fibrils and alter the fibril morphologies,
yet the molecular mechanisms through which this accelerated nucleation takes place
are not yet understood. Here, we develop a coarse-grained model to systematically
explore the effect that the structural properties of the lipid membrane and the
nature of protein–membrane interactions have on the nucleation rates of amyloid
fibrils. We identify two physically distinct nucleation pathways—protein-rich
and lipid-rich—and quantify how the membrane fluidity and protein–membrane affinity
control the relative importance of those molecular pathways. We find that the
membrane’s susceptibility to reshaping and being incorporated into the fibrillar
aggregates is a key determinant of its ability to promote protein aggregation.
We then characterize the rates and the free-energy profile associated with this
heterogeneous nucleation process, in which the surface itself participates in
the aggregate structure. Finally, we compare quantitatively our data to experiments
on membrane-catalyzed amyloid aggregation of α-synuclein, a protein implicated
in Parkinson’s disease that predominately nucleates on membranes. More generally,
our results provide a framework for understanding macromolecular aggregation on
lipid membranes in a broad biological and biotechnological context.
acknowledgement: We thank T. C. T. Michaels for reading the manuscript. This work
was supported by the Academy of Medical Science (J.K. and A.Š.), the Cambridge Center
for Misfolding Diseases (T.P.J.K.), the Biotechnology and Biological Sciences Research
Council (T.P.J.K.), the Frances and Augustus Newman Foundation (T.P.J.K.), the European
Research Council Grant PhysProt Agreement 337969, the Wellcome Trust (A.Š. and T.P.J.K.),
the Royal Society (A.Š.), the Medical Research Council (J.K. and A.Š.), and the
UK Materials and Molecular Modeling Hub for computational resources, which is partially
funded by Engineering and Physical Sciences Research Council Grant EP/P020194/1.
article_processing_charge: No
article_type: original
author:
- first_name: Johannes
full_name: Krausser, Johannes
last_name: Krausser
- first_name: Tuomas P. J.
full_name: Knowles, Tuomas P. J.
last_name: Knowles
- first_name: Anđela
full_name: Šarić, Anđela
id: bf63d406-f056-11eb-b41d-f263a6566d8b
last_name: Šarić
orcid: 0000-0002-7854-2139
citation:
ama: Krausser J, Knowles TPJ, Šarić A. Physical mechanisms of amyloid nucleation
on fluid membranes. Proceedings of the National Academy of Sciences. 2020;117(52):33090-33098.
doi:10.1073/pnas.2007694117
apa: Krausser, J., Knowles, T. P. J., & Šarić, A. (2020). Physical mechanisms
of amyloid nucleation on fluid membranes. Proceedings of the National Academy
of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2007694117
chicago: Krausser, Johannes, Tuomas P. J. Knowles, and Anđela Šarić. “Physical Mechanisms
of Amyloid Nucleation on Fluid Membranes.” Proceedings of the National Academy
of Sciences. National Academy of Sciences, 2020. https://doi.org/10.1073/pnas.2007694117.
ieee: J. Krausser, T. P. J. Knowles, and A. Šarić, “Physical mechanisms of amyloid
nucleation on fluid membranes,” Proceedings of the National Academy of Sciences,
vol. 117, no. 52. National Academy of Sciences, pp. 33090–33098, 2020.
ista: Krausser J, Knowles TPJ, Šarić A. 2020. Physical mechanisms of amyloid nucleation
on fluid membranes. Proceedings of the National Academy of Sciences. 117(52),
33090–33098.
mla: Krausser, Johannes, et al. “Physical Mechanisms of Amyloid Nucleation on Fluid
Membranes.” Proceedings of the National Academy of Sciences, vol. 117,
no. 52, National Academy of Sciences, 2020, pp. 33090–98, doi:10.1073/pnas.2007694117.
short: J. Krausser, T.P.J. Knowles, A. Šarić, Proceedings of the National Academy
of Sciences 117 (2020) 33090–33098.
date_created: 2021-11-25T15:07:09Z
date_published: 2020-12-16T00:00:00Z
date_updated: 2021-11-25T15:35:58Z
day: '16'
doi: 10.1073/pnas.2007694117
extern: '1'
external_id:
pmid:
- '33328273'
intvolume: ' 117'
issue: '52'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/2019.12.22.886267v2
month: '12'
oa: 1
oa_version: Published Version
page: 33090-33098
pmid: 1
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Physical mechanisms of amyloid nucleation on fluid membranes
type: journal_article
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
volume: 117
year: '2020'
...
---
OA_place: publisher
OA_type: hybrid
_id: '10341'
abstract:
- lang: eng
text: Tracing the motion of macromolecules, viruses, and nanoparticles adsorbed
onto cell membranes is currently the most direct way of probing the complex dynamic
interactions behind vital biological processes, including cell signalling, trafficking,
and viral infection. The resulting trajectories are usually consistent with some
type of anomalous diffusion, but the molecular origins behind the observed anomalous
behaviour are usually not obvious. Here we use coarse-grained molecular dynamics
simulations to help identify the physical mechanisms that can give rise to experimentally
observed trajectories of nanoscopic objects moving on biological membranes. We
find that diffusion on membranes of high fluidities typically results in normal
diffusion of the adsorbed nanoparticle, irrespective of the concentration of receptors,
receptor clustering, or multivalent interactions between the particle and membrane
receptors. Gel-like membranes on the other hand result in anomalous diffusion
of the particle, which becomes more pronounced at higher receptor concentrations.
This anomalous diffusion is characterised by local particle trapping in the regions
of high receptor concentrations and fast hopping between such regions. The normal
diffusion is recovered in the limit where the gel membrane is saturated with receptors.
We conclude that hindered receptor diffusivity can be a common reason behind the
observed anomalous diffusion of viruses, vesicles, and nanoparticles adsorbed
on cell and model membranes. Our results enable direct comparison with experiments
and offer a new route for interpreting motility experiments on cell membranes.
acknowledgement: We thank Jessica McQuade for her input at the start of the project.
We acknowledge support from the ERASMUS Placement Programme (V. E. D.), the UCL
Institute for the Physics of Living Systems (V. E. D. and A. Š.), the UCL Global
Engagement Fund (L. M. C. J.), and the Royal Society (A. Š.).
article_processing_charge: No
article_type: original
author:
- first_name: V. E.
full_name: Debets, V. E.
last_name: Debets
- first_name: L. M. C.
full_name: Janssen, L. M. C.
last_name: Janssen
- first_name: Anđela
full_name: Šarić, Anđela
id: bf63d406-f056-11eb-b41d-f263a6566d8b
last_name: Šarić
orcid: 0000-0002-7854-2139
citation:
ama: Debets VE, Janssen LMC, Šarić A. Characterising the diffusion of biological
nanoparticles on fluid and cross-linked membranes. Soft Matter. 2020;16(47):10628-10639.
doi:10.1039/d0sm00712a
apa: Debets, V. E., Janssen, L. M. C., & Šarić, A. (2020). Characterising the
diffusion of biological nanoparticles on fluid and cross-linked membranes. Soft
Matter. Royal Society of Chemistry. https://doi.org/10.1039/d0sm00712a
chicago: Debets, V. E., L. M. C. Janssen, and Anđela Šarić. “Characterising the
Diffusion of Biological Nanoparticles on Fluid and Cross-Linked Membranes.” Soft
Matter. Royal Society of Chemistry, 2020. https://doi.org/10.1039/d0sm00712a.
ieee: V. E. Debets, L. M. C. Janssen, and A. Šarić, “Characterising the diffusion
of biological nanoparticles on fluid and cross-linked membranes,” Soft Matter,
vol. 16, no. 47. Royal Society of Chemistry, pp. 10628–10639, 2020.
ista: Debets VE, Janssen LMC, Šarić A. 2020. Characterising the diffusion of biological
nanoparticles on fluid and cross-linked membranes. Soft Matter. 16(47), 10628–10639.
mla: Debets, V. E., et al. “Characterising the Diffusion of Biological Nanoparticles
on Fluid and Cross-Linked Membranes.” Soft Matter, vol. 16, no. 47, Royal
Society of Chemistry, 2020, pp. 10628–39, doi:10.1039/d0sm00712a.
short: V.E. Debets, L.M.C. Janssen, A. Šarić, Soft Matter 16 (2020) 10628–10639.
date_created: 2021-11-26T06:29:41Z
date_published: 2020-10-06T00:00:00Z
date_updated: 2024-10-16T12:53:17Z
day: '06'
doi: 10.1039/d0sm00712a
extern: '1'
external_id:
pmid:
- '33084724'
intvolume: ' 16'
issue: '47'
keyword:
- condensed matter physics
- general chemistry
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/2020.05.01.071761v1
month: '10'
oa: 1
oa_version: Published Version
page: 10628-10639
pmid: 1
publication: Soft Matter
publication_identifier:
issn:
- 1744-683X
- 1744-6848
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
scopus_import: '1'
status: public
title: Characterising the diffusion of biological nanoparticles on fluid and cross-linked
membranes
type: journal_article
user_id: 0043cee0-e5fc-11ee-9736-f83bc23afbf0
volume: 16
year: '2020'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '10342'
abstract:
- lang: eng
text: The blood-brain barrier is made of polarized brain endothelial cells (BECs)
phenotypically conditioned by the central nervous system (CNS). Although transport
across BECs is of paramount importance for nutrient uptake as well as ridding
the brain of waste products, the intracellular sorting mechanisms that regulate
successful receptor-mediated transcytosis in BECs remain to be elucidated. Here,
we used a synthetic multivalent system with tunable avidity to the low-density
lipoprotein receptor–related protein 1 (LRP1) to investigate the mechanisms of
transport across BECs. We used a combination of conventional and super-resolution
microscopy, both in vivo and in vitro, accompanied with biophysical modeling of
transport kinetics and membrane-bound interactions to elucidate the role of membrane-sculpting
protein syndapin-2 on fast transport via tubule formation. We show that high-avidity
cargo biases the LRP1 toward internalization associated with fast degradation,
while mid-avidity augments the formation of syndapin-2 tubular carriers promoting
a fast shuttling across.
acknowledgement: 'Funding: G.B. thanks the ERC for the starting grant (MEViC 278793)
and consolidator award (CheSSTaG 769798), EPSRC/BTG Healthcare Partnership (EP/I001697/1),
EPSRC Established Career Fellowship (EP/N026322/1), EPSRC/SomaNautix Healthcare
Partnership EP/R024723/1, and Children with Cancer UK for the research project (16-227).
X.T. and G.B. thank that Anhui 100 Talent program for facilitating data sharing
and research visits. A.D.-C. and L.R. acknowledge the Royal Society for a Newton
fellowship and the Marie Skłodowska-Curie Actions for a European Fellowship. Author
contributions: X.T. prepared and characterized POs, performed all the fast imaging
in both conventional and STED microscopy, set up the initial BBB model, encapsulated
the PtA2 in POs, and supervised the PtA2-PO animal work. D.M.L. prepared and characterized
POs; performed all the permeability studies, PLA assays, WB and associated data
analysis, and part of the colocalization assays; and performed experiments with
the shRNA for knockdown of syndapin-2. E.S. prepared and characterized POs and performed
part of colocalization assays and Cy7-labeled PO animal experiments. S.N. prepared
and characterized POs and performed part of the colocalization and inhibition assays.
G.F. designed, performed, and analyzed the agent-based simulations of transcytosis.
J.F. designed the image-based algorithm to analyze the PLA data. D.M. prepared and
characterized POs and helped with Cy7-labeled PO animal experiments. A.A. performed
TEM imaging of the POs. A.P. and A.D.-C. synthesized the dye- and peptide-functionalized
and pristine copolymers. M.V., L.H.-K., and A.Š. designed, performed, and analyzed
the MD simulations. Z.Z. supervised and supported STED imaging. P.X., B.F., and
Y.T. synthesized and characterized the PtA2 compound. L.L. performed some of the
animal work. L.R. supported and helped with the BBB characterization. G.B. analyzed
all fast imaging and supervised and coordinated the overall work. X.T., D.M.L.,
E.S., and G.B. wrote the manuscript. Competing interests: The authors declare that
part of the work is associated with the UCL spin-out company SomaNautix Ltd. Data
and materials availability: All data needed to evaluate the conclusions in the paper
are present in the paper and/or the Supplementary Materials. Additional data related
to this paper may be requested from the authors.'
article_number: 'eabc4397 '
article_processing_charge: No
article_type: original
author:
- first_name: Xiaohe
full_name: Tian, Xiaohe
last_name: Tian
- first_name: Diana M.
full_name: Leite, Diana M.
last_name: Leite
- first_name: Edoardo
full_name: Scarpa, Edoardo
last_name: Scarpa
- first_name: Sophie
full_name: Nyberg, Sophie
last_name: Nyberg
- first_name: Gavin
full_name: Fullstone, Gavin
last_name: Fullstone
- first_name: Joe
full_name: Forth, Joe
last_name: Forth
- first_name: Diana
full_name: Matias, Diana
last_name: Matias
- first_name: Azzurra
full_name: Apriceno, Azzurra
last_name: Apriceno
- first_name: Alessandro
full_name: Poma, Alessandro
last_name: Poma
- first_name: Aroa
full_name: Duro-Castano, Aroa
last_name: Duro-Castano
- first_name: Manish
full_name: Vuyyuru, Manish
last_name: Vuyyuru
- first_name: Lena
full_name: Harker-Kirschneck, Lena
last_name: Harker-Kirschneck
- first_name: Anđela
full_name: Šarić, Anđela
id: bf63d406-f056-11eb-b41d-f263a6566d8b
last_name: Šarić
orcid: 0000-0002-7854-2139
- first_name: Zhongping
full_name: Zhang, Zhongping
last_name: Zhang
- first_name: Pan
full_name: Xiang, Pan
last_name: Xiang
- first_name: Bin
full_name: Fang, Bin
last_name: Fang
- first_name: Yupeng
full_name: Tian, Yupeng
last_name: Tian
- first_name: Lei
full_name: Luo, Lei
last_name: Luo
- first_name: Loris
full_name: Rizzello, Loris
last_name: Rizzello
- first_name: Giuseppe
full_name: Battaglia, Giuseppe
last_name: Battaglia
citation:
ama: 'Tian X, Leite DM, Scarpa E, et al. On the shuttling across the blood-brain
barrier via tubule formation: Mechanism and cargo avidity bias. Science Advances.
2020;6(48). doi:10.1126/sciadv.abc4397'
apa: 'Tian, X., Leite, D. M., Scarpa, E., Nyberg, S., Fullstone, G., Forth, J.,
… Battaglia, G. (2020). On the shuttling across the blood-brain barrier via tubule
formation: Mechanism and cargo avidity bias. Science Advances. American
Association for the Advancement of Science. https://doi.org/10.1126/sciadv.abc4397'
chicago: 'Tian, Xiaohe, Diana M. Leite, Edoardo Scarpa, Sophie Nyberg, Gavin Fullstone,
Joe Forth, Diana Matias, et al. “On the Shuttling across the Blood-Brain Barrier
via Tubule Formation: Mechanism and Cargo Avidity Bias.” Science Advances.
American Association for the Advancement of Science, 2020. https://doi.org/10.1126/sciadv.abc4397.'
ieee: 'X. Tian et al., “On the shuttling across the blood-brain barrier via
tubule formation: Mechanism and cargo avidity bias,” Science Advances,
vol. 6, no. 48. American Association for the Advancement of Science, 2020.'
ista: 'Tian X, Leite DM, Scarpa E, Nyberg S, Fullstone G, Forth J, Matias D, Apriceno
A, Poma A, Duro-Castano A, Vuyyuru M, Harker-Kirschneck L, Šarić A, Zhang Z, Xiang
P, Fang B, Tian Y, Luo L, Rizzello L, Battaglia G. 2020. On the shuttling across
the blood-brain barrier via tubule formation: Mechanism and cargo avidity bias.
Science Advances. 6(48), eabc4397.'
mla: 'Tian, Xiaohe, et al. “On the Shuttling across the Blood-Brain Barrier via
Tubule Formation: Mechanism and Cargo Avidity Bias.” Science Advances,
vol. 6, no. 48, eabc4397, American Association for the Advancement of Science,
2020, doi:10.1126/sciadv.abc4397.'
short: X. Tian, D.M. Leite, E. Scarpa, S. Nyberg, G. Fullstone, J. Forth, D. Matias,
A. Apriceno, A. Poma, A. Duro-Castano, M. Vuyyuru, L. Harker-Kirschneck, A. Šarić,
Z. Zhang, P. Xiang, B. Fang, Y. Tian, L. Luo, L. Rizzello, G. Battaglia, Science
Advances 6 (2020).
date_created: 2021-11-26T06:40:28Z
date_published: 2020-11-27T00:00:00Z
date_updated: 2024-10-16T12:56:52Z
day: '27'
ddc:
- '611'
doi: 10.1126/sciadv.abc4397
extern: '1'
external_id:
pmid:
- '33246953'
file:
- access_level: open_access
checksum: 3ba2eca975930cdb0b1ce1ae876885a7
content_type: application/pdf
creator: cchlebak
date_created: 2021-11-26T06:50:09Z
date_updated: 2021-11-26T06:50:09Z
file_id: '10343'
file_name: 2020_SciAdv_Tian.pdf
file_size: 10381298
relation: main_file
success: 1
file_date_updated: 2021-11-26T06:50:09Z
has_accepted_license: '1'
intvolume: ' 6'
issue: '48'
keyword:
- multidisciplinary
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/2020.04.04.025866v1
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
publication: Science Advances
publication_identifier:
issn:
- 2375-2548
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'On the shuttling across the blood-brain barrier via tubule formation: Mechanism
and cargo avidity bias'
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: 0043cee0-e5fc-11ee-9736-f83bc23afbf0
volume: 6
year: '2020'
...