---
_id: '9780'
abstract:
- lang: eng
text: "PADREV : 4,4'-dimethoxy[1,1'-biphenyl]-2,2',5,5'-tetrol\r\nSpace Group: C
2 (5), Cell: a 24.488(16)Å b 5.981(4)Å c 3.911(3)Å, α 90° β 91.47(3)° γ 90°"
article_processing_charge: No
author:
- first_name: Werner
full_name: Schlemmer, Werner
last_name: Schlemmer
- first_name: Philipp
full_name: Nothdurft, Philipp
last_name: Nothdurft
- first_name: Alina
full_name: Petzold, Alina
last_name: Petzold
- first_name: Gisbert
full_name: Riess, Gisbert
last_name: Riess
- first_name: Philipp
full_name: Frühwirt, Philipp
last_name: Frühwirt
- first_name: Max
full_name: Schmallegger, Max
last_name: Schmallegger
- first_name: Georg
full_name: Gescheidt-Demner, Georg
last_name: Gescheidt-Demner
- first_name: Roland
full_name: Fischer, Roland
last_name: Fischer
- first_name: Stefan Alexander
full_name: Freunberger, Stefan Alexander
id: A8CA28E6-CE23-11E9-AD2D-EC27E6697425
last_name: Freunberger
orcid: 0000-0003-2902-5319
- first_name: Wolfgang
full_name: Kern, Wolfgang
last_name: Kern
- first_name: Stefan
full_name: Spirk, Stefan
last_name: Spirk
citation:
ama: 'Schlemmer W, Nothdurft P, Petzold A, et al. CCDC 1991959: Experimental Crystal
Structure Determination. 2020. doi:10.5517/ccdc.csd.cc24vsrk'
apa: 'Schlemmer, W., Nothdurft, P., Petzold, A., Riess, G., Frühwirt, P., Schmallegger,
M., … Spirk, S. (2020). CCDC 1991959: Experimental Crystal Structure Determination.
CCDC. https://doi.org/10.5517/ccdc.csd.cc24vsrk'
chicago: 'Schlemmer, Werner, Philipp Nothdurft, Alina Petzold, Gisbert Riess, Philipp
Frühwirt, Max Schmallegger, Georg Gescheidt-Demner, et al. “CCDC 1991959: Experimental
Crystal Structure Determination.” CCDC, 2020. https://doi.org/10.5517/ccdc.csd.cc24vsrk.'
ieee: 'W. Schlemmer et al., “CCDC 1991959: Experimental Crystal Structure
Determination.” CCDC, 2020.'
ista: 'Schlemmer W, Nothdurft P, Petzold A, Riess G, Frühwirt P, Schmallegger M,
Gescheidt-Demner G, Fischer R, Freunberger SA, Kern W, Spirk S. 2020. CCDC 1991959:
Experimental Crystal Structure Determination, CCDC, 10.5517/ccdc.csd.cc24vsrk.'
mla: 'Schlemmer, Werner, et al. CCDC 1991959: Experimental Crystal Structure
Determination. CCDC, 2020, doi:10.5517/ccdc.csd.cc24vsrk.'
short: W. Schlemmer, P. Nothdurft, A. Petzold, G. Riess, P. Frühwirt, M. Schmallegger,
G. Gescheidt-Demner, R. Fischer, S.A. Freunberger, W. Kern, S. Spirk, (2020).
date_created: 2021-08-06T07:41:07Z
date_published: 2020-03-22T00:00:00Z
date_updated: 2023-09-05T16:03:47Z
day: '22'
department:
- _id: StFr
doi: 10.5517/ccdc.csd.cc24vsrk
main_file_link:
- open_access: '1'
url: https://dx.doi.org/10.5517/ccdc.csd.cc24vsrk
month: '03'
oa: 1
oa_version: Published Version
publisher: CCDC
related_material:
record:
- id: '8329'
relation: used_in_publication
status: public
status: public
title: 'CCDC 1991959: Experimental Crystal Structure Determination'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2020'
...
---
OA_place: publisher
OA_type: hybrid
_id: '9798'
abstract:
- lang: eng
text: Fitness interactions between mutations can influence a population’s evolution
in many different ways. While epistatic effects are difficult to measure precisely,
important information is captured by the mean and variance of log fitnesses for
individuals carrying different numbers of mutations. We derive predictions for
these quantities from a class of simple fitness landscapes, based on models of
optimizing selection on quantitative traits. We also explore extensions to the
models, including modular pleiotropy, variable effect sizes, mutational bias and
maladaptation of the wild type. We illustrate our approach by reanalysing a large
dataset of mutant effects in a yeast snoRNA. Though characterized by some large
epistatic effects, these data give a good overall fit to the non-epistatic null
model, suggesting that epistasis might have limited influence on the evolutionary
dynamics in this system. We also show how the amount of epistasis depends on both
the underlying fitness landscape and the distribution of mutations, and so is
expected to vary in consistent ways between new mutations, standing variation
and fixed mutations.
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: John J.
full_name: Welch, John J.
last_name: Welch
citation:
ama: Fraisse C, Welch JJ. Simulation code for Fig S2 from the distribution of epistasis
on simple fitness landscapes. 2020. doi:10.6084/m9.figshare.7957472.v1
apa: Fraisse, C., & Welch, J. J. (2020). Simulation code for Fig S2 from the
distribution of epistasis on simple fitness landscapes. Royal Society of London.
https://doi.org/10.6084/m9.figshare.7957472.v1
chicago: Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S2 from
the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of
London, 2020. https://doi.org/10.6084/m9.figshare.7957472.v1.
ieee: C. Fraisse and J. J. Welch, “Simulation code for Fig S2 from the distribution
of epistasis on simple fitness landscapes.” Royal Society of London, 2020.
ista: Fraisse C, Welch JJ. 2020. Simulation code for Fig S2 from the distribution
of epistasis on simple fitness landscapes, Royal Society of London, 10.6084/m9.figshare.7957472.v1.
mla: Fraisse, Christelle, and John J. Welch. Simulation Code for Fig S2 from
the Distribution of Epistasis on Simple Fitness Landscapes. Royal Society
of London, 2020, doi:10.6084/m9.figshare.7957472.v1.
short: C. Fraisse, J.J. Welch, (2020).
date_created: 2021-08-06T11:18:15Z
date_published: 2020-10-15T00:00:00Z
date_updated: 2025-07-10T11:53:24Z
day: '15'
department:
- _id: BeVi
- _id: NiBa
doi: 10.6084/m9.figshare.7957472.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.6084/m9.figshare.7957472.v1
month: '10'
oa: 1
oa_version: Published Version
publisher: Royal Society of London
related_material:
record:
- id: '6467'
relation: used_in_publication
status: public
status: public
title: Simulation code for Fig S2 from the distribution of epistasis on simple fitness
landscapes
type: research_data_reference
user_id: 0043cee0-e5fc-11ee-9736-f83bc23afbf0
year: '2020'
...
---
OA_place: publisher
OA_type: hybrid
_id: '9799'
abstract:
- lang: eng
text: Fitness interactions between mutations can influence a population’s evolution
in many different ways. While epistatic effects are difficult to measure precisely,
important information is captured by the mean and variance of log fitnesses for
individuals carrying different numbers of mutations. We derive predictions for
these quantities from a class of simple fitness landscapes, based on models of
optimizing selection on quantitative traits. We also explore extensions to the
models, including modular pleiotropy, variable effect sizes, mutational bias and
maladaptation of the wild type. We illustrate our approach by reanalysing a large
dataset of mutant effects in a yeast snoRNA. Though characterized by some large
epistatic effects, these data give a good overall fit to the non-epistatic null
model, suggesting that epistasis might have limited influence on the evolutionary
dynamics in this system. We also show how the amount of epistasis depends on both
the underlying fitness landscape and the distribution of mutations, and so is
expected to vary in consistent ways between new mutations, standing variation
and fixed mutations.
article_processing_charge: No
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: John J.
full_name: Welch, John J.
last_name: Welch
citation:
ama: Fraisse C, Welch JJ. Simulation code for Fig S1 from the distribution of epistasis
on simple fitness landscapes. 2020. doi:10.6084/m9.figshare.7957469.v1
apa: Fraisse, C., & Welch, J. J. (2020). Simulation code for Fig S1 from the
distribution of epistasis on simple fitness landscapes. Royal Society of London.
https://doi.org/10.6084/m9.figshare.7957469.v1
chicago: Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S1 from
the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of
London, 2020. https://doi.org/10.6084/m9.figshare.7957469.v1.
ieee: C. Fraisse and J. J. Welch, “Simulation code for Fig S1 from the distribution
of epistasis on simple fitness landscapes.” Royal Society of London, 2020.
ista: Fraisse C, Welch JJ. 2020. Simulation code for Fig S1 from the distribution
of epistasis on simple fitness landscapes, Royal Society of London, 10.6084/m9.figshare.7957469.v1.
mla: Fraisse, Christelle, and John J. Welch. Simulation Code for Fig S1 from
the Distribution of Epistasis on Simple Fitness Landscapes. Royal Society
of London, 2020, doi:10.6084/m9.figshare.7957469.v1.
short: C. Fraisse, J.J. Welch, (2020).
date_created: 2021-08-06T11:26:57Z
date_published: 2020-10-15T00:00:00Z
date_updated: 2025-07-10T11:53:23Z
day: '15'
department:
- _id: BeVi
- _id: NiBa
doi: 10.6084/m9.figshare.7957469.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.6084/m9.figshare.7957469.v1
month: '10'
oa: 1
oa_version: Published Version
publisher: Royal Society of London
related_material:
record:
- id: '6467'
relation: used_in_publication
status: public
status: public
title: Simulation code for Fig S1 from the distribution of epistasis on simple fitness
landscapes
type: research_data_reference
user_id: 0043cee0-e5fc-11ee-9736-f83bc23afbf0
year: '2020'
...
---
OA_place: publisher
OA_type: hybrid
_id: '9814'
abstract:
- lang: eng
text: Data and mathematica notebooks for plotting figures from Language learning
with communication between learners
article_processing_charge: No
author:
- 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
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Ibsen-Jensen R, Tkadlec J, Chatterjee K, Nowak M. Data and mathematica notebooks
for plotting figures from language learning with communication between learners
from language acquisition with communication between learners. 2020. doi:10.6084/m9.figshare.5973013.v1
apa: Ibsen-Jensen, R., Tkadlec, J., Chatterjee, K., & Nowak, M. (2020). Data
and mathematica notebooks for plotting figures from language learning with communication
between learners from language acquisition with communication between learners.
Royal Society. https://doi.org/10.6084/m9.figshare.5973013.v1
chicago: Ibsen-Jensen, Rasmus, Josef Tkadlec, Krishnendu Chatterjee, and Martin
Nowak. “Data and Mathematica Notebooks for Plotting Figures from Language Learning
with Communication between Learners from Language Acquisition with Communication
between Learners.” Royal Society, 2020. https://doi.org/10.6084/m9.figshare.5973013.v1.
ieee: R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, and M. Nowak, “Data and mathematica
notebooks for plotting figures from language learning with communication between
learners from language acquisition with communication between learners.” Royal
Society, 2020.
ista: Ibsen-Jensen R, Tkadlec J, Chatterjee K, Nowak M. 2020. Data and mathematica
notebooks for plotting figures from language learning with communication between
learners from language acquisition with communication between learners, Royal
Society, 10.6084/m9.figshare.5973013.v1.
mla: Ibsen-Jensen, Rasmus, et al. Data and Mathematica Notebooks for Plotting
Figures from Language Learning with Communication between Learners from Language
Acquisition with Communication between Learners. Royal Society, 2020, doi:10.6084/m9.figshare.5973013.v1.
short: R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, M. Nowak, (2020).
date_created: 2021-08-06T13:09:57Z
date_published: 2020-10-15T00:00:00Z
date_updated: 2025-04-15T08:12:20Z
day: '15'
department:
- _id: KrCh
doi: 10.6084/m9.figshare.5973013.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.6084/m9.figshare.5973013.v1
month: '10'
oa: 1
oa_version: Published Version
publisher: Royal Society
related_material:
record:
- id: '198'
relation: used_in_publication
status: public
status: public
title: Data and mathematica notebooks for plotting figures from language learning
with communication between learners from language acquisition with communication
between learners
type: research_data_reference
user_id: 0043cee0-e5fc-11ee-9736-f83bc23afbf0
year: '2020'
...
---
_id: '5681'
abstract:
- lang: eng
text: 'We introduce dynamically warping grids for adaptive liquid simulation. Our
primary contributions are a strategy for dynamically deforming regular grids over
the course of a simulation and a method for efficiently utilizing these deforming
grids for liquid simulation. Prior work has shown that unstructured grids are
very effective for adaptive fluid simulations. However, unstructured grids often
lead to complicated implementations and a poor cache hit rate due to inconsistent
memory access. Regular grids, on the other hand, provide a fast, fixed memory
access pattern and straightforward implementation. Our method combines the advantages
of both: we leverage the simplicity of regular grids while still achieving practical
and controllable spatial adaptivity. We demonstrate that our method enables adaptive
simulations that are fast, flexible, and robust to null-space issues. At the same
time, our method is simple to implement and takes advantage of existing highly-tuned
algorithms.'
acknowledged_ssus:
- _id: ScienComp
acknowledgement: This work was partially supported by JSPS Grant-in-Aid forYoung Scientists
(Start-up) 16H07410, the ERC StartingGrantsrealFlow(StG-2015-637014) andBigSplash(StG-2014-638176).
This research was supported by the Scientific Ser-vice Units (SSU) of IST Austria
through resources providedby Scientific Computing. We would like to express my grati-tude
to Nobuyuki Umetani and Tomas Skrivan for insight-ful discussion.
article_processing_charge: No
article_type: original
author:
- first_name: Ibayashi
full_name: Hikaru, Ibayashi
last_name: Hikaru
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
- first_name: Nils
full_name: Thuerey, Nils
last_name: Thuerey
- first_name: Takeo
full_name: Igarashi, Takeo
last_name: Igarashi
- first_name: Ryoichi
full_name: Ando, Ryoichi
last_name: Ando
citation:
ama: Hikaru I, Wojtan C, Thuerey N, Igarashi T, Ando R. Simulating liquids on dynamically
warping grids. IEEE Transactions on Visualization and Computer Graphics.
2020;26(6):2288-2302. doi:10.1109/TVCG.2018.2883628
apa: Hikaru, I., Wojtan, C., Thuerey, N., Igarashi, T., & Ando, R. (2020). Simulating
liquids on dynamically warping grids. IEEE Transactions on Visualization and
Computer Graphics. IEEE. https://doi.org/10.1109/TVCG.2018.2883628
chicago: Hikaru, Ibayashi, Chris Wojtan, Nils Thuerey, Takeo Igarashi, and Ryoichi
Ando. “Simulating Liquids on Dynamically Warping Grids.” IEEE Transactions
on Visualization and Computer Graphics. IEEE, 2020. https://doi.org/10.1109/TVCG.2018.2883628.
ieee: I. Hikaru, C. Wojtan, N. Thuerey, T. Igarashi, and R. Ando, “Simulating liquids
on dynamically warping grids,” IEEE Transactions on Visualization and Computer
Graphics, vol. 26, no. 6. IEEE, pp. 2288–2302, 2020.
ista: Hikaru I, Wojtan C, Thuerey N, Igarashi T, Ando R. 2020. Simulating liquids
on dynamically warping grids. IEEE Transactions on Visualization and Computer
Graphics. 26(6), 2288–2302.
mla: Hikaru, Ibayashi, et al. “Simulating Liquids on Dynamically Warping Grids.”
IEEE Transactions on Visualization and Computer Graphics, vol. 26, no.
6, IEEE, 2020, pp. 2288–302, doi:10.1109/TVCG.2018.2883628.
short: I. Hikaru, C. Wojtan, N. Thuerey, T. Igarashi, R. Ando, IEEE Transactions
on Visualization and Computer Graphics 26 (2020) 2288–2302.
date_created: 2018-12-16T22:59:21Z
date_published: 2020-06-01T00:00:00Z
date_updated: 2025-07-10T11:52:55Z
day: '01'
ddc:
- '006'
department:
- _id: ChWo
doi: 10.1109/TVCG.2018.2883628
external_id:
isi:
- '000532295600014'
pmid:
- '30507534'
file:
- access_level: open_access
checksum: 8d4c55443a0ee335bb5bb652de503042
content_type: application/pdf
creator: wojtan
date_created: 2020-10-08T08:34:53Z
date_updated: 2020-10-08T08:34:53Z
file_id: '8626'
file_name: preprint.pdf
file_size: 21910098
relation: main_file
success: 1
file_date_updated: 2020-10-08T08:34:53Z
has_accepted_license: '1'
intvolume: ' 26'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
page: 2288-2302
pmid: 1
publication: IEEE Transactions on Visualization and Computer Graphics
publication_identifier:
eissn:
- 1941-0506
issn:
- 1077-2626
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Simulating liquids on dynamically warping grids
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 26
year: '2020'
...
---
_id: '6358'
abstract:
- lang: eng
text: We study dynamical optimal transport metrics between density matricesassociated
to symmetric Dirichlet forms on finite-dimensional C∗-algebras. Our settingcovers arbitrary skew-derivations and it provides a unified framework that simultaneously generalizes recently constructed transport metrics for Markov chains, Lindblad equations, and the Fermi Ornstein–Uhlenbeck semigroup. We develop a non-nommutative
differential calculus that allows us to obtain non-commutative Ricci curvature bounds, logarithmic Sobolev inequalities, transport-entropy inequalities, andspectral
gap estimates.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Eric A.
full_name: Carlen, Eric A.
last_name: Carlen
- first_name: Jan
full_name: Maas, Jan
id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
last_name: Maas
orcid: 0000-0002-0845-1338
citation:
ama: Carlen EA, Maas J. Non-commutative calculus, optimal transport and functional
inequalities in dissipative quantum systems. Journal of Statistical Physics.
2020;178(2):319-378. doi:10.1007/s10955-019-02434-w
apa: Carlen, E. A., & Maas, J. (2020). Non-commutative calculus, optimal transport
and functional inequalities in dissipative quantum systems. Journal of Statistical
Physics. Springer Nature. https://doi.org/10.1007/s10955-019-02434-w
chicago: Carlen, Eric A., and Jan Maas. “Non-Commutative Calculus, Optimal Transport
and Functional Inequalities in Dissipative Quantum Systems.” Journal of Statistical
Physics. Springer Nature, 2020. https://doi.org/10.1007/s10955-019-02434-w.
ieee: E. A. Carlen and J. Maas, “Non-commutative calculus, optimal transport and
functional inequalities in dissipative quantum systems,” Journal of Statistical
Physics, vol. 178, no. 2. Springer Nature, pp. 319–378, 2020.
ista: Carlen EA, Maas J. 2020. Non-commutative calculus, optimal transport and functional
inequalities in dissipative quantum systems. Journal of Statistical Physics.
178(2), 319–378.
mla: Carlen, Eric A., and Jan Maas. “Non-Commutative Calculus, Optimal Transport
and Functional Inequalities in Dissipative Quantum Systems.” Journal of Statistical
Physics, vol. 178, no. 2, Springer Nature, 2020, pp. 319–78, doi:10.1007/s10955-019-02434-w.
short: E.A. Carlen, J. Maas, Journal of Statistical Physics 178 (2020) 319–378.
corr_author: '1'
date_created: 2019-04-30T07:34:18Z
date_published: 2020-01-01T00:00:00Z
date_updated: 2025-06-12T07:27:20Z
day: '01'
ddc:
- '500'
department:
- _id: JaMa
doi: 10.1007/s10955-019-02434-w
ec_funded: 1
external_id:
arxiv:
- '1811.04572'
isi:
- '000498933300001'
pmid:
- '33223567'
file:
- access_level: open_access
checksum: 7b04befbdc0d4982c0ee945d25d19872
content_type: application/pdf
creator: dernst
date_created: 2019-12-23T12:03:09Z
date_updated: 2020-07-14T12:47:28Z
file_id: '7209'
file_name: 2019_JourStatistPhysics_Carlen.pdf
file_size: 905538
relation: main_file
file_date_updated: 2020-07-14T12:47:28Z
has_accepted_license: '1'
intvolume: ' 178'
isi: 1
issue: '2'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 319-378
pmid: 1
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
- _id: 256E75B8-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '716117'
name: Optimal Transport and Stochastic Dynamics
- _id: 260482E2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: F06504
name: Taming Complexity in Partial Differential Systems
publication: Journal of Statistical Physics
publication_identifier:
eissn:
- 1572-9613
issn:
- 0022-4715
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1007/s10955-020-02671-4
scopus_import: '1'
status: public
title: Non-commutative calculus, optimal transport and functional inequalities in
dissipative quantum systems
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: 178
year: '2020'
...
---
_id: '6359'
abstract:
- lang: eng
text: The strong rate of convergence of the Euler-Maruyama scheme for nondegenerate
SDEs with irregular drift coefficients is considered. In the case of α-Hölder
drift in the recent literature the rate α/2 was proved in many related situations.
By exploiting the regularising effect of the noise more efficiently, we show that
the rate is in fact arbitrarily close to 1/2 for all α>0. The result extends to
Dini continuous coefficients, while in d=1 also to all bounded measurable coefficients.
article_number: '82'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Konstantinos
full_name: Dareiotis, Konstantinos
last_name: Dareiotis
- first_name: Mate
full_name: Gerencser, Mate
id: 44ECEDF2-F248-11E8-B48F-1D18A9856A87
last_name: Gerencser
citation:
ama: Dareiotis K, Gerencser M. On the regularisation of the noise for the Euler-Maruyama
scheme with irregular drift. Electronic Journal of Probability. 2020;25.
doi:10.1214/20-EJP479
apa: Dareiotis, K., & Gerencser, M. (2020). On the regularisation of the noise
for the Euler-Maruyama scheme with irregular drift. Electronic Journal of Probability.
Institute of Mathematical Statistics. https://doi.org/10.1214/20-EJP479
chicago: Dareiotis, Konstantinos, and Mate Gerencser. “On the Regularisation of
the Noise for the Euler-Maruyama Scheme with Irregular Drift.” Electronic Journal
of Probability. Institute of Mathematical Statistics, 2020. https://doi.org/10.1214/20-EJP479.
ieee: K. Dareiotis and M. Gerencser, “On the regularisation of the noise for the
Euler-Maruyama scheme with irregular drift,” Electronic Journal of Probability,
vol. 25. Institute of Mathematical Statistics, 2020.
ista: Dareiotis K, Gerencser M. 2020. On the regularisation of the noise for the
Euler-Maruyama scheme with irregular drift. Electronic Journal of Probability.
25, 82.
mla: Dareiotis, Konstantinos, and Mate Gerencser. “On the Regularisation of the
Noise for the Euler-Maruyama Scheme with Irregular Drift.” Electronic Journal
of Probability, vol. 25, 82, Institute of Mathematical Statistics, 2020, doi:10.1214/20-EJP479.
short: K. Dareiotis, M. Gerencser, Electronic Journal of Probability 25 (2020).
date_created: 2019-04-30T07:40:17Z
date_published: 2020-07-16T00:00:00Z
date_updated: 2023-10-16T09:22:50Z
day: '16'
ddc:
- '510'
department:
- _id: JaMa
doi: 10.1214/20-EJP479
external_id:
arxiv:
- '1812.04583'
isi:
- '000550150700001'
file:
- access_level: open_access
checksum: 8e7c42e72596f6889d786e8e8b89994f
content_type: application/pdf
creator: dernst
date_created: 2020-09-21T13:15:02Z
date_updated: 2020-09-21T13:15:02Z
file_id: '8549'
file_name: 2020_EJournProbab_Dareiotis.pdf
file_size: 273042
relation: main_file
success: 1
file_date_updated: 2020-09-21T13:15:02Z
has_accepted_license: '1'
intvolume: ' 25'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: Electronic Journal of Probability
publication_identifier:
eissn:
- 1083-6489
publication_status: published
publisher: Institute of Mathematical Statistics
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the regularisation of the noise for the Euler-Maruyama scheme with irregular
drift
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: 25
year: '2020'
...
---
_id: '6488'
abstract:
- lang: eng
text: We prove a central limit theorem for the difference of linear eigenvalue statistics
of a sample covariance matrix W˜ and its minor W. We find that the fluctuation
of this difference is much smaller than those of the individual linear statistics,
as a consequence of the strong correlation between the eigenvalues of W˜ and W.
Our result identifies the fluctuation of the spatial derivative of the approximate
Gaussian field in the recent paper by Dumitru and Paquette. Unlike in a similar
result for Wigner matrices, for sample covariance matrices, the fluctuation may
entirely vanish.
article_number: '2050006'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Giorgio
full_name: Cipolloni, Giorgio
id: 42198EFA-F248-11E8-B48F-1D18A9856A87
last_name: Cipolloni
orcid: 0000-0002-4901-7992
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
citation:
ama: 'Cipolloni G, Erdös L. Fluctuations for differences of linear eigenvalue statistics
for sample covariance matrices. Random Matrices: Theory and Application.
2020;9(3). doi:10.1142/S2010326320500069'
apa: 'Cipolloni, G., & Erdös, L. (2020). Fluctuations for differences of linear
eigenvalue statistics for sample covariance matrices. Random Matrices: Theory
and Application. World Scientific Publishing. https://doi.org/10.1142/S2010326320500069'
chicago: 'Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of
Linear Eigenvalue Statistics for Sample Covariance Matrices.” Random Matrices:
Theory and Application. World Scientific Publishing, 2020. https://doi.org/10.1142/S2010326320500069.'
ieee: 'G. Cipolloni and L. Erdös, “Fluctuations for differences of linear eigenvalue
statistics for sample covariance matrices,” Random Matrices: Theory and Application,
vol. 9, no. 3. World Scientific Publishing, 2020.'
ista: 'Cipolloni G, Erdös L. 2020. Fluctuations for differences of linear eigenvalue
statistics for sample covariance matrices. Random Matrices: Theory and Application.
9(3), 2050006.'
mla: 'Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear
Eigenvalue Statistics for Sample Covariance Matrices.” Random Matrices: Theory
and Application, vol. 9, no. 3, 2050006, World Scientific Publishing, 2020,
doi:10.1142/S2010326320500069.'
short: 'G. Cipolloni, L. Erdös, Random Matrices: Theory and Application 9 (2020).'
date_created: 2019-05-26T21:59:14Z
date_published: 2020-07-01T00:00:00Z
date_updated: 2025-07-10T11:53:26Z
day: '01'
department:
- _id: LaEr
doi: 10.1142/S2010326320500069
ec_funded: 1
external_id:
arxiv:
- '1806.08751'
isi:
- '000547464400001'
intvolume: ' 9'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1806.08751
month: '07'
oa: 1
oa_version: Preprint
project:
- _id: 258DCDE6-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '338804'
name: Random matrices, universality and disordered quantum systems
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: 'Random Matrices: Theory and Application'
publication_identifier:
eissn:
- 2010-3271
issn:
- 2010-3263
publication_status: published
publisher: World Scientific Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Fluctuations for differences of linear eigenvalue statistics for sample covariance
matrices
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2020'
...
---
_id: '6563'
abstract:
- lang: eng
text: "This paper presents two algorithms. The first decides the existence of a
pointed homotopy between given simplicial maps \U0001D453,\U0001D454:\U0001D44B→\U0001D44C,
and the second computes the group [\U0001D6F4\U0001D44B,\U0001D44C]∗ of pointed
homotopy classes of maps from a suspension; in both cases, the target Y is assumed
simply connected. More generally, these algorithms work relative to \U0001D434⊆\U0001D44B."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Marek
full_name: Filakovský, Marek
id: 3E8AF77E-F248-11E8-B48F-1D18A9856A87
last_name: Filakovský
- first_name: Lukas
full_name: Vokřínek, Lukas
last_name: Vokřínek
citation:
ama: Filakovský M, Vokřínek L. Are two given maps homotopic? An algorithmic viewpoint.
Foundations of Computational Mathematics. 2020;20:311-330. doi:10.1007/s10208-019-09419-x
apa: Filakovský, M., & Vokřínek, L. (2020). Are two given maps homotopic? An
algorithmic viewpoint. Foundations of Computational Mathematics. Springer
Nature. https://doi.org/10.1007/s10208-019-09419-x
chicago: Filakovský, Marek, and Lukas Vokřínek. “Are Two given Maps Homotopic? An
Algorithmic Viewpoint.” Foundations of Computational Mathematics. Springer
Nature, 2020. https://doi.org/10.1007/s10208-019-09419-x.
ieee: M. Filakovský and L. Vokřínek, “Are two given maps homotopic? An algorithmic
viewpoint,” Foundations of Computational Mathematics, vol. 20. Springer
Nature, pp. 311–330, 2020.
ista: Filakovský M, Vokřínek L. 2020. Are two given maps homotopic? An algorithmic
viewpoint. Foundations of Computational Mathematics. 20, 311–330.
mla: Filakovský, Marek, and Lukas Vokřínek. “Are Two given Maps Homotopic? An Algorithmic
Viewpoint.” Foundations of Computational Mathematics, vol. 20, Springer
Nature, 2020, pp. 311–30, doi:10.1007/s10208-019-09419-x.
short: M. Filakovský, L. Vokřínek, Foundations of Computational Mathematics 20 (2020)
311–330.
date_created: 2019-06-16T21:59:14Z
date_published: 2020-04-01T00:00:00Z
date_updated: 2025-07-10T11:53:32Z
day: '01'
department:
- _id: UlWa
doi: 10.1007/s10208-019-09419-x
external_id:
arxiv:
- '1312.2337'
isi:
- '000522437400004'
intvolume: ' 20'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1312.2337
month: '04'
oa: 1
oa_version: Preprint
page: 311-330
project:
- _id: 26611F5C-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P31312
name: Algorithms for Embeddings and Homotopy Theory
publication: Foundations of Computational Mathematics
publication_identifier:
eissn:
- 1615-3383
issn:
- 1615-3375
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Are two given maps homotopic? An algorithmic viewpoint
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2020'
...
---
_id: '6593'
abstract:
- lang: eng
text: 'We consider the monotone variational inequality problem in a Hilbert space
and describe a projection-type method with inertial terms under the following
properties: (a) The method generates a strongly convergent iteration sequence;
(b) The method requires, at each iteration, only one projection onto the feasible
set and two evaluations of the operator; (c) The method is designed for variational
inequality for which the underline operator is monotone and uniformly continuous;
(d) The method includes an inertial term. The latter is also shown to speed up
the convergence in our numerical results. A comparison with some related methods
is given and indicates that the new method is promising.'
acknowledgement: The research of this author is supported by the ERC grant at the
IST.
article_processing_charge: No
article_type: original
author:
- first_name: Yekini
full_name: Shehu, Yekini
id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87
last_name: Shehu
orcid: 0000-0001-9224-7139
- first_name: Xiao-Huan
full_name: Li, Xiao-Huan
last_name: Li
- first_name: Qiao-Li
full_name: Dong, Qiao-Li
last_name: Dong
citation:
ama: Shehu Y, Li X-H, Dong Q-L. An efficient projection-type method for monotone
variational inequalities in Hilbert spaces. Numerical Algorithms. 2020;84:365-388.
doi:10.1007/s11075-019-00758-y
apa: Shehu, Y., Li, X.-H., & Dong, Q.-L. (2020). An efficient projection-type
method for monotone variational inequalities in Hilbert spaces. Numerical Algorithms.
Springer Nature. https://doi.org/10.1007/s11075-019-00758-y
chicago: Shehu, Yekini, Xiao-Huan Li, and Qiao-Li Dong. “An Efficient Projection-Type
Method for Monotone Variational Inequalities in Hilbert Spaces.” Numerical
Algorithms. Springer Nature, 2020. https://doi.org/10.1007/s11075-019-00758-y.
ieee: Y. Shehu, X.-H. Li, and Q.-L. Dong, “An efficient projection-type method for
monotone variational inequalities in Hilbert spaces,” Numerical Algorithms,
vol. 84. Springer Nature, pp. 365–388, 2020.
ista: Shehu Y, Li X-H, Dong Q-L. 2020. An efficient projection-type method for monotone
variational inequalities in Hilbert spaces. Numerical Algorithms. 84, 365–388.
mla: Shehu, Yekini, et al. “An Efficient Projection-Type Method for Monotone Variational
Inequalities in Hilbert Spaces.” Numerical Algorithms, vol. 84, Springer
Nature, 2020, pp. 365–88, doi:10.1007/s11075-019-00758-y.
short: Y. Shehu, X.-H. Li, Q.-L. Dong, Numerical Algorithms 84 (2020) 365–388.
corr_author: '1'
date_created: 2019-06-27T20:09:33Z
date_published: 2020-05-01T00:00:00Z
date_updated: 2024-11-04T13:52:40Z
day: '01'
ddc:
- '000'
department:
- _id: VlKo
doi: 10.1007/s11075-019-00758-y
ec_funded: 1
external_id:
isi:
- '000528979000015'
file:
- access_level: open_access
checksum: bb1a1eb3ebb2df380863d0db594673ba
content_type: application/pdf
creator: kschuh
date_created: 2019-10-01T13:14:10Z
date_updated: 2020-07-14T12:47:34Z
file_id: '6927'
file_name: ExtragradientMethodPaper.pdf
file_size: 359654
relation: main_file
file_date_updated: 2020-07-14T12:47:34Z
has_accepted_license: '1'
intvolume: ' 84'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 365-388
project:
- _id: 25FBA906-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '616160'
name: 'Discrete Optimization in Computer Vision: Theory and Practice'
publication: Numerical Algorithms
publication_identifier:
eissn:
- 1572-9265
issn:
- 1017-1398
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: An efficient projection-type method for monotone variational inequalities in
Hilbert spaces
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 84
year: '2020'
...
---
_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: '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'
...