---
_id: '18191'
abstract:
- lang: eng
text: 'Large-scale quantum devices provide insights beyond the reach of classical
simulations. However, for a reliable and verifiable quantum simulation, the building
blocks of the quantum device require exquisite benchmarking. This benchmarking
of large-scale dynamical quantum systems represents a major challenge due to lack
of efficient tools for their simulation. Here, we present a scalable algorithm
based on neural networks for Hamiltonian tomography in out-of-equilibrium quantum
systems. We illustrate our approach using a model for a forefront quantum simulation
platform: ultracold atoms in optical lattices. Specifically, we show that our
algorithm is able to reconstruct the Hamiltonian of an arbitrary sized bosonic
ladder system using an accessible amount of experimental measurements. We are
able to significantly increase the previously known parameter precision.'
article_number: '023302'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Agnes
full_name: Valenti, Agnes
last_name: Valenti
- first_name: Guliuxin
full_name: Jin, Guliuxin
last_name: Jin
- first_name: Julian
full_name: Leonard, Julian
id: b75b3f45-7995-11ef-9bfd-9a9cd02c3577
last_name: Leonard
- first_name: Sebastian D.
full_name: Huber, Sebastian D.
last_name: Huber
- first_name: Eliska
full_name: Greplova, Eliska
last_name: Greplova
citation:
ama: Valenti A, Jin G, Leonard J, Huber SD, Greplova E. Scalable Hamiltonian learning
for large-scale out-of-equilibrium quantum dynamics. Physical Review A.
2022;105(2). doi:10.1103/physreva.105.023302
apa: Valenti, A., Jin, G., Leonard, J., Huber, S. D., & Greplova, E. (2022).
Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics.
Physical Review A. American Physical Society. https://doi.org/10.1103/physreva.105.023302
chicago: Valenti, Agnes, Guliuxin Jin, Julian Leonard, Sebastian D. Huber, and Eliska
Greplova. “Scalable Hamiltonian Learning for Large-Scale out-of-Equilibrium Quantum
Dynamics.” Physical Review A. American Physical Society, 2022. https://doi.org/10.1103/physreva.105.023302.
ieee: A. Valenti, G. Jin, J. Leonard, S. D. Huber, and E. Greplova, “Scalable Hamiltonian
learning for large-scale out-of-equilibrium quantum dynamics,” Physical Review
A, vol. 105, no. 2. American Physical Society, 2022.
ista: Valenti A, Jin G, Leonard J, Huber SD, Greplova E. 2022. Scalable Hamiltonian
learning for large-scale out-of-equilibrium quantum dynamics. Physical Review
A. 105(2), 023302.
mla: Valenti, Agnes, et al. “Scalable Hamiltonian Learning for Large-Scale out-of-Equilibrium
Quantum Dynamics.” Physical Review A, vol. 105, no. 2, 023302, American
Physical Society, 2022, doi:10.1103/physreva.105.023302.
short: A. Valenti, G. Jin, J. Leonard, S.D. Huber, E. Greplova, Physical Review
A 105 (2022).
date_created: 2024-10-07T11:46:53Z
date_published: 2022-02-01T00:00:00Z
date_updated: 2024-10-08T10:00:23Z
day: '01'
doi: 10.1103/physreva.105.023302
extern: '1'
external_id:
arxiv:
- '2103.01240'
fulldoi: https://doi.org/10.1103/physreva.105.023302
intvolume: ' 105'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2103.01240
month: '02'
oa: 1
oa_version: Preprint
publication: Physical Review A
publication_identifier:
eissn:
- 2469-9934
issn:
- 2469-9926
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 105
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '18220'
abstract:
- lang: eng
text: Synonymous codons translate into the same amino acid. Although the identity
of synonymous codons is often considered inconsequential to the final protein
structure, there is mounting evidence for an association between the two. Our
study examined this association using regression and classification models, finding
that codon sequences predict protein backbone dihedral angles with a lower error
than amino acid sequences, and that models trained with true dihedral angles have
better classification of synonymous codons given structural information than models
trained with random dihedral angles. Using this classification approach, we investigated
local codon–codon dependencies and tested whether synonymous codon identity can
be predicted more accurately from codon context than amino acid context alone,
and most specifically which codon context position carries the most predictive
power.
article_number: '21968'
article_processing_charge: Yes
article_type: original
author:
- first_name: Linor
full_name: Ackerman-Schraier, Linor
last_name: Ackerman-Schraier
- first_name: Aviv A.
full_name: Rosenberg, Aviv A.
last_name: Rosenberg
- first_name: Ailie
full_name: Marx, Ailie
last_name: Marx
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
citation:
ama: Ackerman-Schraier L, Rosenberg AA, Marx A, Bronstein AM. Machine learning approaches
demonstrate that protein structures carry information about their genetic coding.
Scientific Reports. 2022;12. doi:10.1038/s41598-022-25874-z
apa: Ackerman-Schraier, L., Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022).
Machine learning approaches demonstrate that protein structures carry information
about their genetic coding. Scientific Reports. Springer Nature. https://doi.org/10.1038/s41598-022-25874-z
chicago: Ackerman-Schraier, Linor, Aviv A. Rosenberg, Ailie Marx, and Alex M. Bronstein.
“Machine Learning Approaches Demonstrate That Protein Structures Carry Information
about Their Genetic Coding.” Scientific Reports. Springer Nature, 2022.
https://doi.org/10.1038/s41598-022-25874-z.
ieee: L. Ackerman-Schraier, A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Machine
learning approaches demonstrate that protein structures carry information about
their genetic coding,” Scientific Reports, vol. 12. Springer Nature, 2022.
ista: Ackerman-Schraier L, Rosenberg AA, Marx A, Bronstein AM. 2022. Machine learning
approaches demonstrate that protein structures carry information about their genetic
coding. Scientific Reports. 12, 21968.
mla: Ackerman-Schraier, Linor, et al. “Machine Learning Approaches Demonstrate That
Protein Structures Carry Information about Their Genetic Coding.” Scientific
Reports, vol. 12, 21968, Springer Nature, 2022, doi:10.1038/s41598-022-25874-z.
short: L. Ackerman-Schraier, A.A. Rosenberg, A. Marx, A.M. Bronstein, Scientific
Reports 12 (2022).
date_created: 2024-10-08T12:52:29Z
date_published: 2022-12-20T00:00:00Z
date_updated: 2024-10-14T09:46:06Z
day: '20'
doi: 10.1038/s41598-022-25874-z
extern: '1'
external_id:
pmid:
- '36539476'
fulldoi: https://doi.org/10.1038/s41598-022-25874-z
intvolume: ' 12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41598-022-25874-z
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: Scientific Reports
publication_identifier:
issn:
- 2045-2322
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Machine learning approaches demonstrate that protein structures carry information
about their genetic coding
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '18221'
abstract:
- lang: eng
text: Synonymous codons translate into chemically identical amino acids. Once considered
inconsequential to the formation of the protein product, there is evidence to
suggest that codon usage affects co-translational protein folding and the final
structure of the expressed protein. Here we develop a method for computing and
comparing codon-specific Ramachandran plots and demonstrate that the backbone
dihedral angle distributions of some synonymous codons are distinguishable with
statistical significance for some secondary structures. This shows that there
exists a dependence between codon identity and backbone torsion of the translated
amino acid. Although these findings cannot pinpoint the causal direction of this
dependence, we discuss the vast biological implications should coding be shown
to directly shape protein conformation and demonstrate the usefulness of this
method as a tool for probing associations between codon usage and protein structure.
Finally, we urge for the inclusion of exact genetic information into structural
databases.
article_number: '2815'
article_processing_charge: Yes
article_type: original
author:
- first_name: Aviv A.
full_name: Rosenberg, Aviv A.
last_name: Rosenberg
- first_name: Ailie
full_name: Marx, Ailie
last_name: Marx
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
citation:
ama: Rosenberg AA, Marx A, Bronstein AM. Codon-specific Ramachandran plots show
amino acid backbone conformation depends on identity of the translated codon.
Nature Communications. 2022;13. doi:10.1038/s41467-022-30390-9
apa: Rosenberg, A. A., Marx, A., & Bronstein, A. M. (2022). Codon-specific Ramachandran
plots show amino acid backbone conformation depends on identity of the translated
codon. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-022-30390-9
chicago: Rosenberg, Aviv A., Ailie Marx, and Alex M. Bronstein. “Codon-Specific
Ramachandran Plots Show Amino Acid Backbone Conformation Depends on Identity of
the Translated Codon.” Nature Communications. Springer Nature, 2022. https://doi.org/10.1038/s41467-022-30390-9.
ieee: A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Codon-specific Ramachandran
plots show amino acid backbone conformation depends on identity of the translated
codon,” Nature Communications, vol. 13. Springer Nature, 2022.
ista: Rosenberg AA, Marx A, Bronstein AM. 2022. Codon-specific Ramachandran plots
show amino acid backbone conformation depends on identity of the translated codon.
Nature Communications. 13, 2815.
mla: Rosenberg, Aviv A., et al. “Codon-Specific Ramachandran Plots Show Amino Acid
Backbone Conformation Depends on Identity of the Translated Codon.” Nature
Communications, vol. 13, 2815, Springer Nature, 2022, doi:10.1038/s41467-022-30390-9.
short: A.A. Rosenberg, A. Marx, A.M. Bronstein, Nature Communications 13 (2022).
date_created: 2024-10-08T12:53:01Z
date_published: 2022-05-20T00:00:00Z
date_updated: 2024-10-14T09:49:02Z
day: '20'
doi: 10.1038/s41467-022-30390-9
extern: '1'
external_id:
pmid:
- '35595777'
fulldoi: https://doi.org/10.1038/s41467-022-30390-9
intvolume: ' 13'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41467-022-30390-9
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Codon-specific Ramachandran plots show amino acid backbone conformation depends
on identity of the translated codon
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2022'
...
---
OA_place: publisher
OA_type: free access
_id: '18222'
abstract:
- lang: eng
text: "STUDY QUESTION: What is the accuracy and agreement of embryologists when
assessing the implantation probability of blastocysts using time-lapse imaging
(TLI), and can it be improved with a data-driven algorithm?\r\n\r\nSUMMARY ANSWER:
The overall interobserver agreement of a large panel of embryologists was moderate
and prediction accuracy was modest, while the purpose-built artificial intelligence
model generally resulted in higher performance metrics.\r\n\r\nWHAT IS KNOWN ALREADY:
Previous studies have demonstrated significant interobserver variability amongst
embryologists when assessing embryo quality. However, data concerning embryologists’
ability to predict implantation probability using TLI is still lacking. Emerging
technologies based on data-driven tools have shown great promise for improving
embryo selection and predicting clinical outcomes.\r\n\r\nSTUDY DESIGN, SIZE,
DURATION: TLI video files of 136 embryos with known implantation data were retrospectively
collected from two clinical sites between 2018 and 2019 for the performance assessment
of 36 embryologists and comparison with a deep neural network (DNN).\r\n\r\nPARTICIPANTS/MATERIALS,
SETTING, METHODS: We recruited 39 embryologists from 13 different countries. All
participants were blinded to clinical outcomes. A total of 136 TLI videos of embryos
that reached the blastocyst stage were used for this experiment. Each embryo’s
likelihood of successfully implanting was assessed by 36 embryologists, providing
implantation probability grades (IPGs) from 1 to 5, where 1 indicates a very low
likelihood of implantation and 5 indicates a very high likelihood. Subsequently,
three embryologists with over 5 years of experience provided Gardner scores. All
136 blastocysts were categorized into three quality groups based on their Gardner
scores. Embryologist predictions were then converted into predictions of implantation
(IPG ≥ 3) and no implantation (IPG ≤ 2). Embryologists’ performance and agreement
were assessed using Fleiss kappa coefficient. A 10-fold cross-validation DNN was
developed to provide IPGs for TLI video files. The model’s performance was compared
to that of the embryologists.\r\n\r\nMAIN RESULTS AND THE ROLE OF CHANCE: Logistic
regression was employed for the following confounding variables: country of residence,
academic level, embryo scoring system, log years of experience and experience
using TLI. None were found to have a statistically significant impact on embryologist
performance at α = 0.05. The average implantation prediction accuracy for the
embryologists was 51.9% for all embryos (N = 136). The average accuracy of the
embryologists when assessing top quality and poor quality embryos (according to
the Gardner score categorizations) was 57.5% and 57.4%, respectively, and 44.6%
for fair quality embryos. Overall interobserver agreement was moderate (κ = 0.56,
N = 136). The best agreement was achieved in the poor + top quality group (κ = 0.65,
N = 77), while the agreement in the fair quality group was lower (κ = 0.25, N = 59).
The DNN showed an overall accuracy rate of 62.5%, with accuracies of 62.2%, 61%
and 65.6% for the poor, fair and top quality groups, respectively. The AUC for
the DNN was higher than that of the embryologists overall (0.70 DNN vs 0.61 embryologists)
as well as in all of the Gardner groups (DNN vs embryologists—Poor: 0.69 vs 0.62;
Fair: 0.67 vs 0.53; Top: 0.77 vs 0.54).\r\n\r\nLIMITATIONS, REASONS FOR CAUTION:
Blastocyst assessment was performed using video files acquired from time-lapse
incubators, where each video contained data from a single focal plane. Clinical
data regarding the underlying cause of infertility and endometrial thickness before
the transfer was not available, yet may explain implantation failure and lower
accuracy of IPGs. Implantation was defined as the presence of a gestational sac,
whereas the detection of fetal heartbeat is a more robust marker of embryo viability.
The raw data were anonymized to the extent that it was not possible to quantify
the number of unique patients and cycles included in the study, potentially masking
the effect of bias from a limited patient pool. Furthermore, the lack of demographic
data makes it difficult to draw conclusions on how representative the dataset
was of the wider population. Finally, embryologists were required to assess the
implantation potential, not embryo quality. Although this is not the traditional
approach to embryo evaluation, morphology/morphokinetics as a means of assessing
embryo quality is believed to be strongly correlated with viability and, for some
methods, implantation potential.\r\n\r\nWIDER IMPLICATIONS OF THE FINDINGS: Embryo
selection is a key element in IVF success and continues to be a challenge. Improving
the predictive ability could assist in optimizing implantation success rates and
other clinical outcomes and could minimize the financial and emotional burden
on the patient. This study demonstrates moderate agreement rates between embryologists,
likely due to the subjective nature of embryo assessment. In particular, we found
that average embryologist accuracy and agreement were significantly lower for
fair quality embryos when compared with that for top and poor quality embryos.
Using data-driven algorithms as an assistive tool may help IVF professionals increase
success rates and promote much needed standardization in the IVF clinic. Our results
indicate a need for further research regarding technological advancement in this
field."
article_processing_charge: No
article_type: original
author:
- first_name: Daniel E
full_name: Fordham, Daniel E
last_name: Fordham
- first_name: Dror
full_name: Rosentraub, Dror
last_name: Rosentraub
- first_name: Avital L
full_name: Polsky, Avital L
last_name: Polsky
- first_name: Talia
full_name: Aviram, Talia
last_name: Aviram
- first_name: Yotam
full_name: Wolf, Yotam
last_name: Wolf
- first_name: Oriel
full_name: Perl, Oriel
last_name: Perl
- first_name: Asnat
full_name: Devir, Asnat
last_name: Devir
- first_name: Shahar
full_name: Rosentraub, Shahar
last_name: Rosentraub
- first_name: David H
full_name: Silver, David H
last_name: Silver
- first_name: Yael
full_name: Gold Zamir, Yael
last_name: Gold Zamir
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Miguel
full_name: Lara Lara, Miguel
last_name: Lara Lara
- first_name: Jara
full_name: Ben Nagi, Jara
last_name: Ben Nagi
- first_name: Adrian
full_name: Alvarez, Adrian
last_name: Alvarez
- first_name: Santiago
full_name: Munné, Santiago
last_name: Munné
citation:
ama: 'Fordham DE, Rosentraub D, Polsky AL, et al. Embryologist agreement when assessing
blastocyst implantation probability: Is data-driven prediction the solution to
embryo assessment subjectivity? Human Reproduction. 2022;37(10):2275-2290.
doi:10.1093/humrep/deac171'
apa: 'Fordham, D. E., Rosentraub, D., Polsky, A. L., Aviram, T., Wolf, Y., Perl,
O., … Munné, S. (2022). Embryologist agreement when assessing blastocyst implantation
probability: Is data-driven prediction the solution to embryo assessment subjectivity?
Human Reproduction. Oxford University Press. https://doi.org/10.1093/humrep/deac171'
chicago: 'Fordham, Daniel E, Dror Rosentraub, Avital L Polsky, Talia Aviram, Yotam
Wolf, Oriel Perl, Asnat Devir, et al. “Embryologist Agreement When Assessing Blastocyst
Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment
Subjectivity?” Human Reproduction. Oxford University Press, 2022. https://doi.org/10.1093/humrep/deac171.'
ieee: 'D. E. Fordham et al., “Embryologist agreement when assessing blastocyst
implantation probability: Is data-driven prediction the solution to embryo assessment
subjectivity?,” Human Reproduction, vol. 37, no. 10. Oxford University
Press, pp. 2275–2290, 2022.'
ista: 'Fordham DE, Rosentraub D, Polsky AL, Aviram T, Wolf Y, Perl O, Devir A, Rosentraub
S, Silver DH, Gold Zamir Y, Bronstein AM, Lara Lara M, Ben Nagi J, Alvarez A,
Munné S. 2022. Embryologist agreement when assessing blastocyst implantation probability:
Is data-driven prediction the solution to embryo assessment subjectivity? Human
Reproduction. 37(10), 2275–2290.'
mla: 'Fordham, Daniel E., et al. “Embryologist Agreement When Assessing Blastocyst
Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment
Subjectivity?” Human Reproduction, vol. 37, no. 10, Oxford University Press,
2022, pp. 2275–90, doi:10.1093/humrep/deac171.'
short: D.E. Fordham, D. Rosentraub, A.L. Polsky, T. Aviram, Y. Wolf, O. Perl, A.
Devir, S. Rosentraub, D.H. Silver, Y. Gold Zamir, A.M. Bronstein, M. Lara Lara,
J. Ben Nagi, A. Alvarez, S. Munné, Human Reproduction 37 (2022) 2275–2290.
date_created: 2024-10-08T12:53:20Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2024-10-14T09:54:40Z
day: '01'
doi: 10.1093/humrep/deac171
extern: '1'
fulldoi: https://doi.org/10.1093/humrep/deac171
intvolume: ' 37'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1093/humrep/deac171
month: '10'
oa: 1
oa_version: Published Version
page: 2275-2290
publication: Human Reproduction
publication_identifier:
eissn:
- 1460-2350
issn:
- 0268-1161
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Embryologist agreement when assessing blastocyst implantation probability:
Is data-driven prediction the solution to embryo assessment subjectivity?'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2022'
...
---
OA_place: repository
_id: '18224'
abstract:
- lang: eng
text: Learning from one or few visual examples is one of the key capabilities of
humans since early infancy, but is still a significant challenge for modern AI
systems. While considerable progress has been achieved in few-shot learning from
a few image examples, much less attention has been given to the verbal descriptions
that are usually provided to infants when they are presented with a new object.
In this paper, we focus on the role of additional semantics that can significantly
facilitate few-shot visual learning. Building upon recent advances in few-shot
learning with additional semantic information, we demonstrate that further improvements
are possible by combining multiple and richer semantics (category labels, attributes,
and natural language descriptions). Using these ideas, we offer the community
new results on the popular miniImageNet and CUB few-shot benchmarks, comparing
favorably to the previous state-of-the-art results for both visual only and visual
plus semantics-based approaches. We also performed an ablation study investigating
the components and design choices of our approach. Code available on github.com/EliSchwartz/mutiple-semantics.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Eli
full_name: Schwartz, Eli
last_name: Schwartz
- first_name: Leonid
full_name: Karlinsky, Leonid
last_name: Karlinsky
- first_name: Rogerio
full_name: Feris, Rogerio
last_name: Feris
- first_name: Raja
full_name: Giryes, Raja
last_name: Giryes
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
citation:
ama: Schwartz E, Karlinsky L, Feris R, Giryes R, Bronstein AM. Baby steps towards
few-shot learning with multiple semantics. Pattern Recognition Letters.
2022;160:142-147. doi:10.1016/j.patrec.2022.06.012
apa: Schwartz, E., Karlinsky, L., Feris, R., Giryes, R., & Bronstein, A. M.
(2022). Baby steps towards few-shot learning with multiple semantics. Pattern
Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2022.06.012
chicago: Schwartz, Eli, Leonid Karlinsky, Rogerio Feris, Raja Giryes, and Alex M.
Bronstein. “Baby Steps towards Few-Shot Learning with Multiple Semantics.” Pattern
Recognition Letters. Elsevier, 2022. https://doi.org/10.1016/j.patrec.2022.06.012.
ieee: E. Schwartz, L. Karlinsky, R. Feris, R. Giryes, and A. M. Bronstein, “Baby
steps towards few-shot learning with multiple semantics,” Pattern Recognition
Letters, vol. 160. Elsevier, pp. 142–147, 2022.
ista: Schwartz E, Karlinsky L, Feris R, Giryes R, Bronstein AM. 2022. Baby steps
towards few-shot learning with multiple semantics. Pattern Recognition Letters.
160, 142–147.
mla: Schwartz, Eli, et al. “Baby Steps towards Few-Shot Learning with Multiple Semantics.”
Pattern Recognition Letters, vol. 160, Elsevier, 2022, pp. 142–47, doi:10.1016/j.patrec.2022.06.012.
short: E. Schwartz, L. Karlinsky, R. Feris, R. Giryes, A.M. Bronstein, Pattern Recognition
Letters 160 (2022) 142–147.
date_created: 2024-10-08T12:54:03Z
date_published: 2022-08-01T00:00:00Z
date_updated: 2024-10-14T10:58:20Z
day: '01'
doi: 10.1016/j.patrec.2022.06.012
extern: '1'
external_id:
arxiv:
- '1906.01905'
fulldoi: https://doi.org/10.1016/j.patrec.2022.06.012
intvolume: ' 160'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1906.01905
month: '08'
oa: 1
oa_version: Preprint
page: 142-147
publication: Pattern Recognition Letters
publication_identifier:
issn:
- 0167-8655
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Baby steps towards few-shot learning with multiple semantics
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 160
year: '2022'
...
---
OA_place: publisher
_id: '18225'
abstract:
- lang: eng
text: "Isometric feature mapping is an established time-honored algorithm in manifold
learning and non-linear dimensionality reduction. Its prominence can be attributed
to the output of a coherent global low-dimensional representation of data by preserving
intrinsic distances. In order to enable an efficient and more applicable isometric
feature mapping, a diverse set of sophisticated advancements have been proposed
to the original algorithm to incorporate important factors like sparsity of computation,
conformality, topological constraints and spectral geometry. However, a significant
shortcoming of most approaches is the dependence on large-scale dense-spectral
decompositions and the inability to generalize to points far away from the sampling
of the manifold.\r\nIn this paper, we explore an unsupervised deep learning approach
for computing distance-preserving maps for non-linear dimensionality reduction.
We demonstrate that our framework is general enough to incorporate all previous
advancements and show a significantly improved local and non-local generalization
of the isometric mapping. Our approach involves training with only a few landmark
points and avoids the need for population of dense matrices as well as computing
their spectral decomposition."
article_number: '104461'
article_processing_charge: No
article_type: original
author:
- first_name: Gautam
full_name: Pai, Gautam
last_name: Pai
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Ronen
full_name: Talmon, Ronen
last_name: Talmon
- first_name: Ron
full_name: Kimmel, Ron
last_name: Kimmel
citation:
ama: Pai G, Bronstein AM, Talmon R, Kimmel R. Deep isometric maps. Image and
Vision Computing. 2022;123. doi:10.1016/j.imavis.2022.104461
apa: Pai, G., Bronstein, A. M., Talmon, R., & Kimmel, R. (2022). Deep isometric
maps. Image and Vision Computing. Elsevier. https://doi.org/10.1016/j.imavis.2022.104461
chicago: Pai, Gautam, Alex M. Bronstein, Ronen Talmon, and Ron Kimmel. “Deep Isometric
Maps.” Image and Vision Computing. Elsevier, 2022. https://doi.org/10.1016/j.imavis.2022.104461.
ieee: G. Pai, A. M. Bronstein, R. Talmon, and R. Kimmel, “Deep isometric maps,”
Image and Vision Computing, vol. 123. Elsevier, 2022.
ista: Pai G, Bronstein AM, Talmon R, Kimmel R. 2022. Deep isometric maps. Image
and Vision Computing. 123, 104461.
mla: Pai, Gautam, et al. “Deep Isometric Maps.” Image and Vision Computing,
vol. 123, 104461, Elsevier, 2022, doi:10.1016/j.imavis.2022.104461.
short: G. Pai, A.M. Bronstein, R. Talmon, R. Kimmel, Image and Vision Computing
123 (2022).
date_created: 2024-10-08T12:54:22Z
date_published: 2022-07-01T00:00:00Z
date_updated: 2024-10-14T11:03:26Z
day: '01'
doi: 10.1016/j.imavis.2022.104461
extern: '1'
fulldoi: https://doi.org/10.1016/j.imavis.2022.104461
intvolume: ' 123'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.imavis.2022.104461
month: '07'
oa: 1
oa_version: Published Version
publication: Image and Vision Computing
publication_identifier:
issn:
- 0262-8856
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Deep isometric maps
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 123
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
_id: '18226'
abstract:
- lang: eng
text: Spontaneous parametric downconversion (SPDC) in quantum optics is an invaluable
resource for the realization of high-dimensional qudits with spatial modes of
light. One of the main open challenges is how to directly generate a desirable
qudit state in the SPDC process. This problem can be addressed through advanced
computational learning methods; however, due to difficulties in modeling the SPDC
process by a fully differentiable algorithm, progress has been limited. Here,
we overcome these limitations and introduce a physically constrained and differentiable
model, validated against experimental results for shaped pump beams and structured
crystals, capable of learning the relevant interaction parameters in the process.
We avoid any restrictions induced by the stochastic nature of our physical model
and integrate the dynamic equations governing the evolution under the SPDC Hamiltonian.
We solve the inverse problem of designing a nonlinear quantum optical system that
achieves the desired quantum state of downconverted photon pairs. The desired
states are defined using either the second-order correlations between different
spatial modes or by specifying the required density matrix. By learning nonlinear
photonic crystal structures as well as different pump shapes, we successfully
show how to generate maximally entangled states. Furthermore, we simulate all-optical
coherent control over the generated quantum state by actively changing the profile
of the pump beam. Our work can be useful for applications such as novel designs
of high-dimensional quantum key distribution and quantum information processing
protocols. In addition, our method can be readily applied for controlling other
degrees of freedom of light in the SPDC process, such as spectral and temporal
properties, and may even be used in condensed-matter systems having a similar
interaction Hamiltonian.
article_processing_charge: No
article_type: original
author:
- first_name: Eyal
full_name: Rozenberg, Eyal
last_name: Rozenberg
- first_name: Aviv
full_name: Karnieli, Aviv
last_name: Karnieli
- first_name: Ofir
full_name: Yesharim, Ofir
last_name: Yesharim
- first_name: Joshua
full_name: Foley-Comer, Joshua
last_name: Foley-Comer
- first_name: Sivan
full_name: Trajtenberg-Mills, Sivan
last_name: Trajtenberg-Mills
- first_name: Daniel
full_name: Freedman, Daniel
last_name: Freedman
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Ady
full_name: Arie, Ady
last_name: Arie
citation:
ama: Rozenberg E, Karnieli A, Yesharim O, et al. Inverse design of spontaneous parametric
downconversion for generation of high-dimensional qudits. Optica. 2022;9(6):602-615.
doi:10.1364/optica.451115
apa: Rozenberg, E., Karnieli, A., Yesharim, O., Foley-Comer, J., Trajtenberg-Mills,
S., Freedman, D., … Arie, A. (2022). Inverse design of spontaneous parametric
downconversion for generation of high-dimensional qudits. Optica. Optica
Publishing Group. https://doi.org/10.1364/optica.451115
chicago: Rozenberg, Eyal, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan
Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, and Ady Arie. “Inverse
Design of Spontaneous Parametric Downconversion for Generation of High-Dimensional
Qudits.” Optica. Optica Publishing Group, 2022. https://doi.org/10.1364/optica.451115.
ieee: E. Rozenberg et al., “Inverse design of spontaneous parametric downconversion
for generation of high-dimensional qudits,” Optica, vol. 9, no. 6. Optica
Publishing Group, pp. 602–615, 2022.
ista: Rozenberg E, Karnieli A, Yesharim O, Foley-Comer J, Trajtenberg-Mills S, Freedman
D, Bronstein AM, Arie A. 2022. Inverse design of spontaneous parametric downconversion
for generation of high-dimensional qudits. Optica. 9(6), 602–615.
mla: Rozenberg, Eyal, et al. “Inverse Design of Spontaneous Parametric Downconversion
for Generation of High-Dimensional Qudits.” Optica, vol. 9, no. 6, Optica
Publishing Group, 2022, pp. 602–15, doi:10.1364/optica.451115.
short: E. Rozenberg, A. Karnieli, O. Yesharim, J. Foley-Comer, S. Trajtenberg-Mills,
D. Freedman, A.M. Bronstein, A. Arie, Optica 9 (2022) 602–615.
date_created: 2024-10-08T12:54:43Z
date_published: 2022-06-06T00:00:00Z
date_updated: 2024-10-14T11:07:29Z
day: '06'
doi: 10.1364/optica.451115
extern: '1'
fulldoi: https://doi.org/10.1364/optica.451115
intvolume: ' 9'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1364/OPTICA.451115
month: '06'
oa: 1
oa_version: Published Version
page: 602-615
publication: Optica
publication_identifier:
issn:
- 2334-2536
publication_status: published
publisher: Optica Publishing Group
quality_controlled: '1'
scopus_import: '1'
status: public
title: Inverse design of spontaneous parametric downconversion for generation of high-dimensional
qudits
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2022'
...
---
_id: '18229'
abstract:
- lang: eng
text: We present Self-Classifier – a novel self-supervised end-to-end classification
learning approach. Self-Classifier learns labels and representations simultaneously
in a single-stage end-to-end manner by optimizing for same-class prediction of
two augmented views of the same sample. To guarantee non-degenerate solutions
(i.e., solutions where all labels are assigned to the same class) we propose a
mathematically motivated variant of the cross-entropy loss that has a uniform
prior asserted on the predicted labels. In our theoretical analysis, we prove
that degenerate solutions are not in the set of optimal solutions of our approach.
Self-Classifier is simple to implement and scalable. Unlike other popular unsupervised
classification and contrastive representation learning approaches, it does not
require any form of pre-training, expectation-maximization, pseudo-labeling, external
clustering, a second network, stop-gradient operation, or negative pairs. Despite
its simplicity, our approach sets a new state of the art for unsupervised classification
of ImageNet; and even achieves comparable to state-of-the-art results for unsupervised
representation learning. Code is available at https://github.com/elad-amrani/self-classifier.
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Elad
full_name: Amrani, Elad
last_name: Amrani
- first_name: Leonid
full_name: Karlinsky, Leonid
last_name: Karlinsky
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
citation:
ama: 'Amrani E, Karlinsky L, Bronstein AM. Self-supervised classification network.
In: 17th European Conference on Computer Vision. Vol 13691. Springer Nature;
2022:116-132. doi:10.1007/978-3-031-19821-2_7'
apa: 'Amrani, E., Karlinsky, L., & Bronstein, A. M. (2022). Self-supervised
classification network. In 17th European Conference on Computer Vision
(Vol. 13691, pp. 116–132). Tel Aviv, Israel: Springer Nature. https://doi.org/10.1007/978-3-031-19821-2_7'
chicago: Amrani, Elad, Leonid Karlinsky, and Alex M. Bronstein. “Self-Supervised
Classification Network.” In 17th European Conference on Computer Vision,
13691:116–32. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-19821-2_7.
ieee: E. Amrani, L. Karlinsky, and A. M. Bronstein, “Self-supervised classification
network,” in 17th European Conference on Computer Vision, Tel Aviv, Israel,
2022, vol. 13691, pp. 116–132.
ista: 'Amrani E, Karlinsky L, Bronstein AM. 2022. Self-supervised classification
network. 17th European Conference on Computer Vision. ECCV: European Conference
on Computer Vision, LNCS, vol. 13691, 116–132.'
mla: Amrani, Elad, et al. “Self-Supervised Classification Network.” 17th European
Conference on Computer Vision, vol. 13691, Springer Nature, 2022, pp. 116–32,
doi:10.1007/978-3-031-19821-2_7.
short: E. Amrani, L. Karlinsky, A.M. Bronstein, in:, 17th European Conference on
Computer Vision, Springer Nature, 2022, pp. 116–132.
conference:
end_date: 2022-10-27
location: Tel Aviv, Israel
name: 'ECCV: European Conference on Computer Vision'
start_date: 2022-10-23
date_created: 2024-10-08T12:55:44Z
date_published: 2022-10-23T00:00:00Z
date_updated: 2024-10-15T07:04:39Z
day: '23'
doi: 10.1007/978-3-031-19821-2_7
extern: '1'
external_id:
arxiv:
- '2103.10994'
fulldoi: https://doi.org/10.1007/978-3-031-19821-2_7
intvolume: ' 13691'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2103.10994
month: '10'
oa: 1
oa_version: None
page: 116-132
publication: 17th European Conference on Computer Vision
publication_identifier:
eisbn:
- '9783031198212'
eissn:
- 1611-3349
isbn:
- '9783031198205'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/elad-amrani/self-classifier
scopus_import: '1'
status: public
title: Self-supervised classification network
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13691
year: '2022'
...
---
_id: '18291'
article_processing_charge: No
author:
- first_name: Georgios
full_name: Katsaros, Georgios
id: 38DB5788-F248-11E8-B48F-1D18A9856A87
last_name: Katsaros
orcid: 0000-0001-8342-202X
- first_name: Daniel
full_name: Jirovec, Daniel
id: 4C473F58-F248-11E8-B48F-1D18A9856A87
last_name: Jirovec
orcid: 0000-0002-7197-4801
citation:
ama: "Katsaros G, Jirovec D. Dynamics of Hole Singlet-Triplet Qubits with Large
\U0001D454-Factor Differences. 2022. doi:10.15479/AT:ISTA:18291"
apa: "Katsaros, G., & Jirovec, D. (2022). Dynamics of Hole Singlet-Triplet Qubits
with Large \U0001D454-Factor Differences. Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:18291"
chicago: "Katsaros, Georgios, and Daniel Jirovec. “Dynamics of Hole Singlet-Triplet
Qubits with Large \U0001D454-Factor Differences.” Institute of Science and Technology
Austria, 2022. https://doi.org/10.15479/AT:ISTA:18291."
ieee: "G. Katsaros and D. Jirovec, “Dynamics of Hole Singlet-Triplet Qubits with
Large \U0001D454-Factor Differences.” Institute of Science and Technology Austria,
2022."
ista: "Katsaros G, Jirovec D. 2022. Dynamics of Hole Singlet-Triplet Qubits with
Large \U0001D454-Factor Differences, Institute of Science and Technology Austria,
10.15479/AT:ISTA:18291."
mla: "Katsaros, Georgios, and Daniel Jirovec. Dynamics of Hole Singlet-Triplet
Qubits with Large \U0001D454-Factor Differences. Institute of Science and
Technology Austria, 2022, doi:10.15479/AT:ISTA:18291."
short: G. Katsaros, D. Jirovec, (2022).
corr_author: '1'
date_created: 2024-10-09T19:35:03Z
date_published: 2022-03-01T00:00:00Z
date_updated: 2025-04-15T07:15:24Z
day: '01'
department:
- _id: GeKa
doi: 10.15479/AT:ISTA:18291
file:
- access_level: open_access
checksum: 3128dffbd09267b93c2d0b1425fd3ba2
content_type: application/x-zip-compressed
creator: gkatsaro
date_created: 2024-10-09T19:31:35Z
date_updated: 2024-10-09T19:31:35Z
file_id: '18292'
file_name: SOIPaper.zip
file_size: 25566516
relation: main_file
success: 1
- access_level: open_access
checksum: df077d2f4652afeb3bf100068e88aa48
content_type: text/plain
creator: gkatsaro
date_created: 2024-10-14T18:11:45Z
date_updated: 2024-10-14T18:11:45Z
file_id: '18442'
file_name: Readme.txt
file_size: 6776
relation: main_file
success: 1
file_date_updated: 2024-10-14T18:11:45Z
fulldoi: https://doi.org/10.15479/AT:ISTA:18291
has_accepted_license: '1'
month: '03'
oa: 1
oa_version: None
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '10920'
relation: research_paper
status: public
status: public
title: "Dynamics of Hole Singlet-Triplet Qubits with Large \U0001D454-Factor Differences"
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: research_data
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
year: '2022'
...
---
OA_place: repository
OA_type: green
_id: '22043'
abstract:
- lang: eng
text: We prove that multisoliton solutions of the Korteweg–de Vries equation are
orbitally stable in H^-1(R). We introduce a variational characterization of multisolitons
that remains meaningful at such low regularity and show that all optimizing sequences
converge to the manifold of multisolitons. The proximity required at the initial
time is uniform across the entire manifold of multisolitons; this had not been
demonstrated previously, even in H^-1.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Rowan
full_name: Killip, Rowan
last_name: Killip
- first_name: Monica
full_name: Visan, Monica
id: 056daca0-b8d1-11f0-964f-f91054abf8ca
last_name: Visan
citation:
ama: Killip R, Vişan M. Orbital stability of KdV multisolitons in H-1. Communications
in Mathematical Physics. 2022;389(3):1445-1473. doi:10.1007/s00220-021-04280-y
apa: Killip, R., & Vişan, M. (2022). Orbital stability of KdV multisolitons
in H-1. Communications in Mathematical Physics. Springer Nature. https://doi.org/10.1007/s00220-021-04280-y
chicago: Killip, Rowan, and Monica Vişan. “Orbital Stability of KdV Multisolitons
in H-1.” Communications in Mathematical Physics. Springer Nature, 2022.
https://doi.org/10.1007/s00220-021-04280-y.
ieee: R. Killip and M. Vişan, “Orbital stability of KdV multisolitons in H-1,” Communications
in Mathematical Physics, vol. 389, no. 3. Springer Nature, pp. 1445–1473,
2022.
ista: Killip R, Vişan M. 2022. Orbital stability of KdV multisolitons in H-1. Communications
in Mathematical Physics. 389(3), 1445–1473.
mla: Killip, Rowan, and Monica Vişan. “Orbital Stability of KdV Multisolitons in
H-1.” Communications in Mathematical Physics, vol. 389, no. 3, Springer
Nature, 2022, pp. 1445–73, doi:10.1007/s00220-021-04280-y.
short: R. Killip, M. Vişan, Communications in Mathematical Physics 389 (2022) 1445–1473.
das_tickbox: '1'
date_created: 2026-06-19T07:46:39Z
date_published: 2022-02-01T00:00:00Z
date_updated: 2026-06-25T07:41:51Z
day: '01'
doi: 10.1007/s00220-021-04280-y
extern: '1'
external_id:
arxiv:
- '2009.06746'
fulldoi: https://doi.org/10.1007/s00220-021-04280-y
intvolume: ' 389'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2009.06746
month: '02'
oa: 1
oa_version: Preprint
page: 1445-1473
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: Orbital stability of KdV multisolitons in H-1
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 389
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '22126'
abstract:
- lang: eng
text: During the second half of the 20th century, the Antarctic Peninsula region
has undergone a long and sustained warming period, followed by a shorter but also
sustained cooling period, and then a very recent return to warming conditions.
All of these have profoundly impacted the glaciers peripheral to the Antarctic
Peninsula. This paper focuses on the analysis of the surface mass balance monitoring
of such glaciers by the glaciological method, complemented by the analysis of
mass-balance estimates by geodetic methods, as well as frontal ablation estimates.
We aim to summarize the current knowledge and outline the main challenges faced
by investigating the mass balance of such peripheral glaciers and their current
contribution to sea-level rise.
article_processing_charge: Yes
article_type: letter_note
author:
- first_name: Francisco
full_name: Navarro, Francisco
last_name: Navarro
- first_name: Cayetana
full_name: Recio-Blitz, Cayetana
last_name: Recio-Blitz
- first_name: Ricardo
full_name: Rodríguez-Cielos, Ricardo
last_name: Rodríguez-Cielos
- first_name: Jaime
full_name: Otero, Jaime
last_name: Otero
- first_name: Kaian
full_name: Shahateet, Kaian
last_name: Shahateet
- first_name: Eva
full_name: De Andrés, Eva
last_name: De Andrés
- first_name: María I.
full_name: Corcuera, María I.
last_name: Corcuera
- first_name: Unai
full_name: Letamendia, Unai
last_name: Letamendia
- first_name: José M
full_name: Muñoz Hermosilla, José M
id: e1037a6d-646e-11ef-b402-e0ed9ab0901e
last_name: Muñoz Hermosilla
orcid: 0000-0002-1990-8508
citation:
ama: Navarro F, Recio-Blitz C, Rodríguez-Cielos R, et al. Surface mass balance monitoring
of the peripheral glaciers of the Antarctic Peninsula in the context of regional
climate change. Annals of Glaciology. 2022;63(87-89):101-106. doi:10.1017/aog.2023.18
apa: Navarro, F., Recio-Blitz, C., Rodríguez-Cielos, R., Otero, J., Shahateet, K.,
De Andrés, E., … Muñoz Hermosilla, J. M. (2022). Surface mass balance monitoring
of the peripheral glaciers of the Antarctic Peninsula in the context of regional
climate change. Annals of Glaciology. Cambridge University Press. https://doi.org/10.1017/aog.2023.18
chicago: Navarro, Francisco, Cayetana Recio-Blitz, Ricardo Rodríguez-Cielos, Jaime
Otero, Kaian Shahateet, Eva De Andrés, María I. Corcuera, Unai Letamendia, and
José M Muñoz Hermosilla. “Surface Mass Balance Monitoring of the Peripheral Glaciers
of the Antarctic Peninsula in the Context of Regional Climate Change.” Annals
of Glaciology. Cambridge University Press, 2022. https://doi.org/10.1017/aog.2023.18.
ieee: F. Navarro et al., “Surface mass balance monitoring of the peripheral
glaciers of the Antarctic Peninsula in the context of regional climate change,”
Annals of Glaciology, vol. 63, no. 87–89. Cambridge University Press, pp.
101–106, 2022.
ista: Navarro F, Recio-Blitz C, Rodríguez-Cielos R, Otero J, Shahateet K, De Andrés
E, Corcuera MI, Letamendia U, Muñoz Hermosilla JM. 2022. Surface mass balance
monitoring of the peripheral glaciers of the Antarctic Peninsula in the context
of regional climate change. Annals of Glaciology. 63(87–89), 101–106.
mla: Navarro, Francisco, et al. “Surface Mass Balance Monitoring of the Peripheral
Glaciers of the Antarctic Peninsula in the Context of Regional Climate Change.”
Annals of Glaciology, vol. 63, no. 87–89, Cambridge University Press, 2022,
pp. 101–06, doi:10.1017/aog.2023.18.
short: F. Navarro, C. Recio-Blitz, R. Rodríguez-Cielos, J. Otero, K. Shahateet,
E. De Andrés, M.I. Corcuera, U. Letamendia, J.M. Muñoz Hermosilla, Annals of Glaciology
63 (2022) 101–106.
das_tickbox: '1'
date_created: 2026-06-22T12:19:18Z
date_published: 2022-09-01T00:00:00Z
date_updated: 2026-07-02T07:19:18Z
day: '01'
ddc:
- '550'
doi: 10.1017/aog.2023.18
extern: '1'
fulldoi: https://doi.org/10.1017/aog.2023.18
has_accepted_license: '1'
intvolume: ' 63'
issue: 87-89
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1017/aog.2023.18
month: '09'
oa: 1
oa_version: Published Version
page: 101-106
publication: Annals of Glaciology
publication_identifier:
eissn:
- 1727-5644
issn:
- 0260-3055
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Surface mass balance monitoring of the peripheral glaciers of the Antarctic
Peninsula in the context of regional climate change
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: 63
year: '2022'
...
---
_id: '17063'
abstract:
- lang: eng
text: This workshop continued a biannual series of workshops at Oberwolfach on dynamical
systems that started with a meeting organized by Moser and Zehnder in 1981. Workshops
in this series focus on new results and developments in dynamical systems and
related areas of mathematics, with symplectic geometry playing an important role
in recent years in connection with Hamiltonian dynamics. In this year special
emphasis was placed on various kinds of spectra (in contact geometry, in Riemannian
geometry, in dynamical systems and in symplectic topology) and their applications
to dynamics.
article_processing_charge: No
article_type: original
author:
- first_name: Marie-Claude
full_name: Arnaud, Marie-Claude
last_name: Arnaud
- first_name: Helmut W.
full_name: Hofer, Helmut W.
last_name: Hofer
- first_name: Michael
full_name: Hutchings, Michael
last_name: Hutchings
- first_name: Vadim
full_name: Kaloshin, Vadim
id: FE553552-CDE8-11E9-B324-C0EBE5697425
last_name: Kaloshin
orcid: 0000-0002-6051-2628
citation:
ama: Arnaud M-C, Hofer HW, Hutchings M, Kaloshin V. Dynamische Systeme. Oberwolfach
Reports. 2022;18(3):1735-1803. doi:10.4171/owr/2021/33
apa: Arnaud, M.-C., Hofer, H. W., Hutchings, M., & Kaloshin, V. (2022). Dynamische
Systeme. Oberwolfach Reports. EMS Press. https://doi.org/10.4171/owr/2021/33
chicago: Arnaud, Marie-Claude, Helmut W. Hofer, Michael Hutchings, and Vadim Kaloshin.
“Dynamische Systeme.” Oberwolfach Reports. EMS Press, 2022. https://doi.org/10.4171/owr/2021/33.
ieee: M.-C. Arnaud, H. W. Hofer, M. Hutchings, and V. Kaloshin, “Dynamische Systeme,”
Oberwolfach Reports, vol. 18, no. 3. EMS Press, pp. 1735–1803, 2022.
ista: Arnaud M-C, Hofer HW, Hutchings M, Kaloshin V. 2022. Dynamische Systeme. Oberwolfach
Reports. 18(3), 1735–1803.
mla: Arnaud, Marie-Claude, et al. “Dynamische Systeme.” Oberwolfach Reports,
vol. 18, no. 3, EMS Press, 2022, pp. 1735–803, doi:10.4171/owr/2021/33.
short: M.-C. Arnaud, H.W. Hofer, M. Hutchings, V. Kaloshin, Oberwolfach Reports
18 (2022) 1735–1803.
corr_author: '1'
das_tickbox: '1'
date_created: 2024-05-29T06:01:19Z
date_published: 2022-11-26T00:00:00Z
date_updated: 2026-07-06T11:52:32Z
day: '26'
ddc:
- '500'
department:
- _id: VaKa
doi: 10.4171/owr/2021/33
fulldoi: https://doi.org/10.4171/owr/2021/33
intvolume: ' 18'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.doi.org/10.4171/OWR/2021/33
month: '11'
oa: 1
oa_version: Published Version
page: 1735-1803
publication: Oberwolfach Reports
publication_identifier:
eissn:
- 1660-8941
issn:
- 1660-8933
publication_status: published
publisher: EMS Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dynamische Systeme
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 18
year: '2022'
...
---
_id: '10042'
abstract:
- lang: eng
text: SnSe has emerged as one of the most promising materials for thermoelectric
energy conversion due to its extraordinary performance in its single-crystal form
and its low-cost constituent elements. However, to achieve an economic impact,
the polycrystalline counterpart needs to replicate the performance of the single
crystal. Herein, we optimize the thermoelectric performance of polycrystalline
SnSe produced by consolidating solution-processed and surface-engineered SnSe
particles. In particular, the SnSe particles are coated with CdSe molecular complexes
that crystallize during the sintering process, forming CdSe nanoparticles. The
presence of CdSe nanoparticles inhibits SnSe grain growth during the consolidation
step due to Zener pinning, yielding a material with a high density of grain boundaries.
Moreover, the resulting SnSe–CdSe nanocomposites present a large number of defects
at different length scales, which significantly reduce the thermal conductivity.
The produced SnSe–CdSe nanocomposites exhibit thermoelectric figures of merit
up to 2.2 at 786 K, which is among the highest reported for solution-processed
SnSe.
acknowledgement: 'This work was financially supported by IST Austria and the Werner
Siemens Foundation. Y.L. acknowledges funding from the European Union’s Horizon
2020 research and innovation program under the Marie Sklodowska-Curie grant agreement
No. 754411. S.L. and M.C. received funding from the European Union’s Horizon 2020
research and innovation program under the Marie Skłodowska-Curie Grant Agreement
No. 665385. J.D. acknowledges funding from the European Union’s Horizon 2020 research
and innovation program under the Marie Sklodowska-Curie grant agreement no. 665919
(P-SPHERE) cofunded by Severo Ochoa Programme. C.C. acknowledges funding from the
FWF “Lise Meitner Fellowship” grant agreement M 2889-N. Y.Y. and O.C.-M. acknowledge
the financial support from DFG within the project SFB 917: Nanoswitches. M.C.S.
received funding from the European Union’s Horizon 2020 research and innovation
programme under the Marie Skłodowska-Curie grant agreement No. 754510 (PROBIST)
and the Severo Ochoa programme. J.D. received funding from the European Union’s
Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie
grant agreement No. 665919 (P-SPHERE) cofunded by Severo Ochoa Programme. The ICN2
is funded by the CERCA Program/Generalitat de Catalunya and by the Severo Ochoa
program of the Spanish Ministry of Economy, Industry, and Competitiveness (MINECO,
grant no. SEV-2017-0706). ICN2 acknowledges funding from Generalitat de Catalunya
2017 SGR 327 and the Spanish MINECO project NANOGEN (PID2020-116093RB-C43). This
project received funding from the European Union’s Horizon 2020 research and innovation
program under grant agreement No. 823717-ESTEEM3. The FIB sample preparation was
conducted in the LMA-INA-Universidad de Zaragoza.'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Yu
full_name: Liu, Yu
id: 2A70014E-F248-11E8-B48F-1D18A9856A87
last_name: Liu
orcid: 0000-0001-7313-6740
- first_name: Mariano
full_name: Calcabrini, Mariano
id: 45D7531A-F248-11E8-B48F-1D18A9856A87
last_name: Calcabrini
orcid: 0000-0003-4566-5877
- first_name: Yuan
full_name: Yu, Yuan
last_name: Yu
- first_name: Seungho
full_name: Lee, Seungho
id: BB243B88-D767-11E9-B658-BC13E6697425
last_name: Lee
orcid: 0000-0002-6962-8598
- first_name: Cheng
full_name: Chang, Cheng
id: 9E331C2E-9F27-11E9-AE48-5033E6697425
last_name: Chang
orcid: 0000-0002-9515-4277
- first_name: Jérémy
full_name: David, Jérémy
last_name: David
- first_name: Tanmoy
full_name: Ghosh, Tanmoy
id: a5fc9bc3-feff-11ea-93fe-e8015a3c7e9d
last_name: Ghosh
- first_name: Maria Chiara
full_name: Spadaro, Maria Chiara
last_name: Spadaro
- first_name: Chenyang
full_name: Xie, Chenyang
last_name: Xie
- first_name: Oana
full_name: Cojocaru-Mirédin, Oana
last_name: Cojocaru-Mirédin
- first_name: Jordi
full_name: Arbiol, Jordi
last_name: Arbiol
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
citation:
ama: Liu Y, Calcabrini M, Yu Y, et al. Defect engineering in solution-processed
polycrystalline SnSe leads to high thermoelectric performance. ACS Nano.
2022;16(1):78-88. doi:10.1021/acsnano.1c06720
apa: Liu, Y., Calcabrini, M., Yu, Y., Lee, S., Chang, C., David, J., … Ibáñez, M.
(2022). Defect engineering in solution-processed polycrystalline SnSe leads to
high thermoelectric performance. ACS Nano. American Chemical Society. https://doi.org/10.1021/acsnano.1c06720
chicago: Liu, Yu, Mariano Calcabrini, Yuan Yu, Seungho Lee, Cheng Chang, Jérémy
David, Tanmoy Ghosh, et al. “Defect Engineering in Solution-Processed Polycrystalline
SnSe Leads to High Thermoelectric Performance.” ACS Nano. American Chemical
Society, 2022. https://doi.org/10.1021/acsnano.1c06720.
ieee: Y. Liu et al., “Defect engineering in solution-processed polycrystalline
SnSe leads to high thermoelectric performance,” ACS Nano, vol. 16, no.
1. American Chemical Society, pp. 78–88, 2022.
ista: Liu Y, Calcabrini M, Yu Y, Lee S, Chang C, David J, Ghosh T, Spadaro MC, Xie
C, Cojocaru-Mirédin O, Arbiol J, Ibáñez M. 2022. Defect engineering in solution-processed
polycrystalline SnSe leads to high thermoelectric performance. ACS Nano. 16(1),
78–88.
mla: Liu, Yu, et al. “Defect Engineering in Solution-Processed Polycrystalline SnSe
Leads to High Thermoelectric Performance.” ACS Nano, vol. 16, no. 1, American
Chemical Society, 2022, pp. 78–88, doi:10.1021/acsnano.1c06720.
short: Y. Liu, M. Calcabrini, Y. Yu, S. Lee, C. Chang, J. David, T. Ghosh, M.C.
Spadaro, C. Xie, O. Cojocaru-Mirédin, J. Arbiol, M. Ibáñez, ACS Nano 16 (2022)
78–88.
corr_author: '1'
das_tickbox: '1'
date_created: 2021-09-24T07:55:12Z
date_published: 2022-01-25T00:00:00Z
date_updated: 2026-07-06T12:16:06Z
day: '25'
ddc:
- '540'
department:
- _id: MaIb
doi: 10.1021/acsnano.1c06720
ec_funded: 1
external_id:
isi:
- '000767223400008'
pmid:
- '34549956'
file:
- access_level: open_access
checksum: 74f9c1aa5f95c0b992a4328e8e0247b4
content_type: application/pdf
creator: cchlebak
date_created: 2022-03-02T16:17:29Z
date_updated: 2022-03-02T16:17:29Z
file_id: '10808'
file_name: 2022_ACSNano_Liu.pdf
file_size: 9050764
relation: main_file
success: 1
file_date_updated: 2022-03-02T16:17:29Z
fulldoi: https://doi.org/10.1021/acsnano.1c06720
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
issue: '1'
keyword:
- tin selenide
- nanocomposite
- grain growth
- Zener pinning
- thermoelectricity
- annealing
- solution processing
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 78-88
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 9B8F7476-BA93-11EA-9121-9846C619BF3A
name: 'HighTE: The Werner Siemens Laboratory for the High Throughput Discovery of
Semiconductors for Waste Heat Recovery'
- _id: 9B8804FC-BA93-11EA-9121-9846C619BF3A
grant_number: M02889
name: Bottom-up Engineering for Thermoelectric Applications
publication: ACS Nano
publication_identifier:
eissn:
- 1936-086X
issn:
- 1936-0851
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
related_material:
record:
- id: '12885'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Defect engineering in solution-processed polycrystalline SnSe leads to high
thermoelectric performance
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: 16
year: '2022'
...
---
_id: '10766'
abstract:
- lang: eng
text: Tension of the actomyosin cell cortex plays a key role in determining cell–cell
contact growth and size. The level of cortical tension outside of the cell–cell
contact, when pulling at the contact edge, scales with the total size to which
a cell–cell contact can grow [J.-L. Maître et al., Science 338, 253–256 (2012)].
Here, we show in zebrafish primary germ-layer progenitor cells that this monotonic
relationship only applies to a narrow range of cortical tension increase and that
above a critical threshold, contact size inversely scales with cortical tension.
This switch from cortical tension increasing to decreasing progenitor cell–cell
contact size is caused by cortical tension promoting E-cadherin anchoring to the
actomyosin cytoskeleton, thereby increasing clustering and stability of E-cadherin
at the contact. After tension-mediated E-cadherin stabilization at the contact
exceeds a critical threshold level, the rate by which the contact expands in response
to pulling forces from the cortex sharply drops, leading to smaller contacts at
physiologically relevant timescales of contact formation. Thus, the activity of
cortical tension in expanding cell–cell contact size is limited by tension-stabilizing
E-cadherin–actin complexes at the contact.
acknowledged_ssus:
- _id: Bio
- _id: EM-Fac
- _id: PreCl
acknowledgement: 'We thank Guillaume Salbreaux, Silvia Grigolon, Edouard Hannezo,
and Vanessa Barone for discussions and comments on the manuscript and Shayan Shamipour
and Daniel Capek for help with data analysis. We also thank the Imaging & Optics,
Electron Microscopy, and Zebrafish Facility Scientific Service Units at the Institute
of Science and Technology Austria (ISTA)Nasser Darwish-Miranda for continuous support.
We acknowledge Hitoshi Morita for the gift of VinculinB-GFP plasmid. This research
was supported by an ISTA Fellow Marie-Curie Co-funding of regional, national, and
international programmes Grant P_IST_EU01 (to J.S.), European Molecular Biology
Organization Long-Term Fellowship Grant, ALTF reference number: 187-2013 (to M.S.),
Schroedinger Fellowship J4332-B28 (to M.S.), and European Research Council Advanced
Grant (MECSPEC; to C.-P.H.).'
article_number: e2122030119
article_processing_charge: No
article_type: original
author:
- first_name: Jana
full_name: Slovakova, Jana
id: 30F3F2F0-F248-11E8-B48F-1D18A9856A87
last_name: Slovakova
- first_name: Mateusz K
full_name: Sikora, Mateusz K
id: 2F74BCDE-F248-11E8-B48F-1D18A9856A87
last_name: Sikora
- first_name: Feyza N
full_name: Arslan, Feyza N
id: 49DA7910-F248-11E8-B48F-1D18A9856A87
last_name: Arslan
orcid: 0000-0001-5809-9566
- first_name: Silvia
full_name: Caballero Mancebo, Silvia
id: 2F1E1758-F248-11E8-B48F-1D18A9856A87
last_name: Caballero Mancebo
orcid: 0000-0002-5223-3346
- first_name: Gabriel
full_name: Krens, Gabriel
id: 2B819732-F248-11E8-B48F-1D18A9856A87
last_name: Krens
orcid: 0000-0003-4761-5996
- first_name: Walter
full_name: Kaufmann, Walter
id: 3F99E422-F248-11E8-B48F-1D18A9856A87
last_name: Kaufmann
orcid: 0000-0001-9735-5315
- first_name: Jack
full_name: Merrin, Jack
id: 4515C308-F248-11E8-B48F-1D18A9856A87
last_name: Merrin
orcid: 0000-0001-5145-4609
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
citation:
ama: Slovakova J, Sikora MK, Arslan FN, et al. Tension-dependent stabilization of
E-cadherin limits cell-cell contact expansion in zebrafish germ-layer progenitor
cells. Proceedings of the National Academy of Sciences of the United States
of America. 2022;119(8). doi:10.1073/pnas.2122030119
apa: Slovakova, J., Sikora, M. K., Arslan, F. N., Caballero Mancebo, S., Krens,
G., Kaufmann, W., … Heisenberg, C.-P. J. (2022). Tension-dependent stabilization
of E-cadherin limits cell-cell contact expansion in zebrafish germ-layer progenitor
cells. Proceedings of the National Academy of Sciences of the United States
of America. National Academy of Sciences. https://doi.org/10.1073/pnas.2122030119
chicago: Slovakova, Jana, Mateusz K Sikora, Feyza N Arslan, Silvia Caballero Mancebo,
Gabriel Krens, Walter Kaufmann, Jack Merrin, and Carl-Philipp J Heisenberg. “Tension-Dependent
Stabilization of E-Cadherin Limits Cell-Cell Contact Expansion in Zebrafish Germ-Layer
Progenitor Cells.” Proceedings of the National Academy of Sciences of the United
States of America. National Academy of Sciences, 2022. https://doi.org/10.1073/pnas.2122030119.
ieee: J. Slovakova et al., “Tension-dependent stabilization of E-cadherin
limits cell-cell contact expansion in zebrafish germ-layer progenitor cells,”
Proceedings of the National Academy of Sciences of the United States of America,
vol. 119, no. 8. National Academy of Sciences, 2022.
ista: Slovakova J, Sikora MK, Arslan FN, Caballero Mancebo S, Krens G, Kaufmann
W, Merrin J, Heisenberg C-PJ. 2022. Tension-dependent stabilization of E-cadherin
limits cell-cell contact expansion in zebrafish germ-layer progenitor cells. Proceedings
of the National Academy of Sciences of the United States of America. 119(8), e2122030119.
mla: Slovakova, Jana, et al. “Tension-Dependent Stabilization of E-Cadherin Limits
Cell-Cell Contact Expansion in Zebrafish Germ-Layer Progenitor Cells.” Proceedings
of the National Academy of Sciences of the United States of America, vol.
119, no. 8, e2122030119, National Academy of Sciences, 2022, doi:10.1073/pnas.2122030119.
short: J. Slovakova, M.K. Sikora, F.N. Arslan, S. Caballero Mancebo, G. Krens, W.
Kaufmann, J. Merrin, C.-P.J. Heisenberg, Proceedings of the National Academy of
Sciences of the United States of America 119 (2022).
corr_author: '1'
date_created: 2022-02-20T23:01:31Z
date_published: 2022-02-14T00:00:00Z
date_updated: 2026-07-06T12:45:39Z
day: '14'
ddc:
- '570'
department:
- _id: CaHe
- _id: EM-Fac
- _id: Bio
doi: 10.1073/pnas.2122030119
ec_funded: 1
external_id:
isi:
- '000766926900009'
pmid:
- '35165179'
file:
- access_level: open_access
checksum: d49f83c3580613966f71768ddb9a55a5
content_type: application/pdf
creator: dernst
date_created: 2022-02-21T08:45:11Z
date_updated: 2022-02-21T08:45:11Z
file_id: '10780'
file_name: 2022_PNAS_Slovakova.pdf
file_size: 1609678
relation: main_file
success: 1
file_date_updated: 2022-02-21T08:45:11Z
fulldoi: https://doi.org/10.1073/pnas.2122030119
has_accepted_license: '1'
intvolume: ' 119'
isi: 1
issue: '8'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '02'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 260F1432-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '742573'
name: Interaction and feedback between cell mechanics and fate specification in
vertebrate gastrulation
- _id: 2521E28E-B435-11E9-9278-68D0E5697425
grant_number: 187-2013
name: Modulation of adhesion function in cell-cell contact formation by cortical
tension
publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
- 1091-6490
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
related_material:
record:
- id: '9750'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Tension-dependent stabilization of E-cadherin limits cell-cell contact expansion
in zebrafish germ-layer progenitor cells
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 119
year: '2022'
...
---
_id: '11843'
abstract:
- lang: eng
text: A key attribute of persistent or recurring bacterial infections is the ability
of the pathogen to evade the host’s immune response. Many Enterobacteriaceae express
type 1 pili, a pre-adapted virulence trait, to invade host epithelial cells and
establish persistent infections. However, the molecular mechanisms and strategies
by which bacteria actively circumvent the immune response of the host remain poorly
understood. Here, we identified CD14, the major co-receptor for lipopolysaccharide
detection, on mouse dendritic cells (DCs) as a binding partner of FimH, the protein
located at the tip of the type 1 pilus of Escherichia coli. The FimH amino acids
involved in CD14 binding are highly conserved across pathogenic and non-pathogenic
strains. Binding of the pathogenic strain CFT073 to CD14 reduced DC migration
by overactivation of integrins and blunted expression of co-stimulatory molecules
by overactivating the NFAT (nuclear factor of activated T-cells) pathway, both
rate-limiting factors of T cell activation. This response was binary at the single-cell
level, but averaged in larger populations exposed to both piliated and non-piliated
pathogens, presumably via the exchange of immunomodulatory cytokines. While defining
an active molecular mechanism of immune evasion by pathogens, the interaction
between FimH and CD14 represents a potential target to interfere with persistent
and recurrent infections, such as urinary tract infections or Crohn’s disease.
acknowledged_ssus:
- _id: Bio
- _id: PreCl
- _id: EM-Fac
acknowledgement: We thank Ulrich Dobrindt for providing UPEC strains CFT073, UTI89,
and 536, Frank Assen, Vlad Gavra, Maximilian Götz, Bor Kavčič, Jonna Alanko, and
Eva Kiermaier for help with experiments and Robert Hauschild, Julian Stopp, and
Saren Tasciyan for help with data analysis. We thank the IST Austria Scientific
Service Units, especially the Bioimaging facility, the Preclinical facility and
the Electron microscopy facility for technical support, Jakob Wallner and all members
of the Guet and Sixt lab for fruitful discussions and Daria Siekhaus for critically
reading the manuscript. This work was supported by grants from the Austrian Research
Promotion Agency (FEMtech 868984) to IG, the European Research Council (CoG 724373),
and the Austrian Science Fund (FWF P29911) to MS.
article_number: e78995
article_processing_charge: Yes
article_type: original
author:
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Alexander F
full_name: Leithner, Alexander F
id: 3B1B77E4-F248-11E8-B48F-1D18A9856A87
last_name: Leithner
orcid: 0000-0002-1073-744X
- first_name: Ivana
full_name: Glatzová, Ivana
id: 727b3c7d-4939-11ec-89b3-b9b0750ab74d
last_name: Glatzová
- first_name: Michael S.
full_name: Lukesch, Michael S.
last_name: Lukesch
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Michael K
full_name: Sixt, Michael K
id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87
last_name: Sixt
orcid: 0000-0002-6620-9179
citation:
ama: Tomasek K, Leithner AF, Glatzová I, Lukesch MS, Guet CC, Sixt MK. Type 1 piliated
uropathogenic Escherichia coli hijack the host immune response by binding to CD14.
eLife. 2022;11. doi:10.7554/eLife.78995
apa: Tomasek, K., Leithner, A. F., Glatzová, I., Lukesch, M. S., Guet, C. C., &
Sixt, M. K. (2022). Type 1 piliated uropathogenic Escherichia coli hijack the
host immune response by binding to CD14. ELife. eLife Sciences Publications.
https://doi.org/10.7554/eLife.78995
chicago: Tomasek, Kathrin, Alexander F Leithner, Ivana Glatzová, Michael S. Lukesch,
Calin C Guet, and Michael K Sixt. “Type 1 Piliated Uropathogenic Escherichia Coli
Hijack the Host Immune Response by Binding to CD14.” ELife. eLife Sciences
Publications, 2022. https://doi.org/10.7554/eLife.78995.
ieee: K. Tomasek, A. F. Leithner, I. Glatzová, M. S. Lukesch, C. C. Guet, and M.
K. Sixt, “Type 1 piliated uropathogenic Escherichia coli hijack the host immune
response by binding to CD14,” eLife, vol. 11. eLife Sciences Publications,
2022.
ista: Tomasek K, Leithner AF, Glatzová I, Lukesch MS, Guet CC, Sixt MK. 2022. Type
1 piliated uropathogenic Escherichia coli hijack the host immune response by binding
to CD14. eLife. 11, e78995.
mla: Tomasek, Kathrin, et al. “Type 1 Piliated Uropathogenic Escherichia Coli Hijack
the Host Immune Response by Binding to CD14.” ELife, vol. 11, e78995, eLife
Sciences Publications, 2022, doi:10.7554/eLife.78995.
short: K. Tomasek, A.F. Leithner, I. Glatzová, M.S. Lukesch, C.C. Guet, M.K. Sixt,
ELife 11 (2022).
corr_author: '1'
date_created: 2022-08-14T22:01:46Z
date_published: 2022-07-26T00:00:00Z
date_updated: 2026-07-06T12:48:19Z
day: '26'
ddc:
- '570'
department:
- _id: MiSi
- _id: CaGu
doi: 10.7554/eLife.78995
ec_funded: 1
external_id:
isi:
- '000838410200001'
pmid:
- '35881547'
file:
- access_level: open_access
checksum: 002a3c7c7ea5caa9af9cfbea308f6ea4
content_type: application/pdf
creator: cchlebak
date_created: 2022-08-16T08:57:37Z
date_updated: 2022-08-16T08:57:37Z
file_id: '11861'
file_name: 2022_eLife_Tomasek.pdf
file_size: 2057577
relation: main_file
success: 1
file_date_updated: 2022-08-16T08:57:37Z
fulldoi: https://doi.org/10.7554/eLife.78995
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25FE9508-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '724373'
name: Cellular Navigation Along Spatial Gradients
- _id: 26018E70-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P29911
name: Mechanical adaptation of lamellipodial actin
publication: eLife
publication_identifier:
eissn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
related_material:
record:
- id: '10316'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Type 1 piliated uropathogenic Escherichia coli hijack the host immune response
by binding to CD14
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: 11
year: '2022'
...
---
OA_place: repository
_id: '10821'
abstract:
- lang: eng
text: 'Rhythmical cortical activity has long been recognized as a pillar in the
architecture of brain functions. Yet, the dynamic organization of its underlying
neuronal population activity remains elusive. Here we uncover a unique organizational
principle regulating collective neural dynamics associated with the alpha rhythm
in the awake resting-state. We demonstrate that cascades of neural activity obey
attenuation-amplification dynamics (AAD), with a transition from the attenuation
regime—within alpha cycles—to the amplification regime—across a few alpha cycles—that
correlates with the characteristic frequency of the alpha rhythm. We find that
this short-term AAD is part of a large-scale, size-dependent temporal structure
of neural cascades that obeys the Omori law: Following large cascades, smaller
cascades occur at a rate that decays as a power-law of the time elapsed from such
events—a long-term AAD regulating brain activity over the timescale of seconds.
We show that such an organization corresponds to the "waxing and waning" of the
alpha rhythm. Importantly, we observe that short- and long-term AAD are unique
to the awake resting-state, being absent during NREM sleep. These results provide
a quantitative, dynamical description of the so-far-qualitative notion of the
"waxing and waning" phenomenon, and suggest the AAD as a key principle governing
resting-state dynamics across timescales.'
acknowledgement: FL acknowledges support from the European Union’s Horizon 2020 research
and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 754411.
LdA acknowledges the Italian MIUR project PRIN2017WZFTZP for financial support and
the project E-PASSION of the program VALERE 2019 funded by the University of Campania,
Italy “L. Vanvitelli”. OS acknowledges support from the Israel Science Foundation,
Grant No. 504/17. Supported in part by DIRP ZIAMH02797 to DP.
article_processing_charge: No
author:
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Hans J.
full_name: Herrmann, Hans J.
last_name: Herrmann
- first_name: Liborio
full_name: Parrino, Liborio
last_name: Parrino
- first_name: Dietmar
full_name: Plenz, Dietmar
last_name: Plenz
- first_name: Silvia
full_name: Scarpetta, Silvia
last_name: Scarpetta
- first_name: Anna Elisabetta
full_name: Vaudano, Anna Elisabetta
last_name: Vaudano
- first_name: Lucilla
full_name: de Arcangelis, Lucilla
last_name: de Arcangelis
- first_name: Oren
full_name: Shriki, Oren
last_name: Shriki
citation:
ama: Lombardi F, Herrmann HJ, Parrino L, et al. Alpha rhythm induces attenuation-amplification
dynamics in neural activity cascades. bioRxiv. doi:10.1101/2022.03.03.482657
apa: Lombardi, F., Herrmann, H. J., Parrino, L., Plenz, D., Scarpetta, S., Vaudano,
A. E., … Shriki, O. (n.d.). Alpha rhythm induces attenuation-amplification dynamics
in neural activity cascades. bioRxiv. https://doi.org/10.1101/2022.03.03.482657
chicago: Lombardi, Fabrizio, Hans J. Herrmann, Liborio Parrino, Dietmar Plenz, Silvia
Scarpetta, Anna Elisabetta Vaudano, Lucilla de Arcangelis, and Oren Shriki. “Alpha
Rhythm Induces Attenuation-Amplification Dynamics in Neural Activity Cascades.”
BioRxiv, n.d. https://doi.org/10.1101/2022.03.03.482657.
ieee: F. Lombardi et al., “Alpha rhythm induces attenuation-amplification
dynamics in neural activity cascades,” bioRxiv. .
ista: Lombardi F, Herrmann HJ, Parrino L, Plenz D, Scarpetta S, Vaudano AE, de Arcangelis
L, Shriki O. Alpha rhythm induces attenuation-amplification dynamics in neural
activity cascades. bioRxiv, 10.1101/2022.03.03.482657.
mla: Lombardi, Fabrizio, et al. “Alpha Rhythm Induces Attenuation-Amplification
Dynamics in Neural Activity Cascades.” BioRxiv, doi:10.1101/2022.03.03.482657.
short: F. Lombardi, H.J. Herrmann, L. Parrino, D. Plenz, S. Scarpetta, A.E. Vaudano,
L. de Arcangelis, O. Shriki, BioRxiv (n.d.).
corr_author: '1'
das_tickbox: '1'
date_created: 2022-03-04T22:20:59Z
date_published: 2022-03-04T00:00:00Z
date_updated: 2026-07-06T12:48:55Z
day: '04'
department:
- _id: GaTk
doi: 10.1101/2022.03.03.482657
ec_funded: 1
fulldoi: https://doi.org/10.1101/2022.03.03.482657
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2022.03.03.482657
month: '03'
oa: 1
oa_version: Preprint
page: '25'
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: bioRxiv
publication_status: draft
related_material:
record:
- id: '14402'
relation: later_version
status: public
status: public
title: Alpha rhythm induces attenuation-amplification dynamics in neural activity
cascades
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '12894'
acknowledgement: "The abstracts in this booklet are licenced under a CC BY 4.0 licence
(https://creativecommons.org/licenses/by/4.0/legalcode), except Markus Wallerberger’s
contribution at page 21, licenced under a CC BY-SA 4.0 licence (https://creativecommons.org/licenses/by-sa/4.0/legalcode).\r\n"
article_processing_charge: No
author:
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Andrei
full_name: Hornoiu, Andrei
id: 77129392-B450-11EA-8745-D4653DDC885E
last_name: Hornoiu
- first_name: Stefano
full_name: Elefante, Stefano
id: 490F40CE-F248-11E8-B48F-1D18A9856A87
last_name: Elefante
- first_name: Stephan
full_name: Stadlbauer, Stephan
id: 4D0BC184-F248-11E8-B48F-1D18A9856A87
last_name: Stadlbauer
citation:
ama: 'Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. Where is the sweet spot? A
procurement story of general purpose compute nodes. In: ASHPC22 - Austrian-Slovenian
HPC Meeting 2022. EuroCC Austria; 2022:7. doi:10.25365/phaidra.337'
apa: 'Schlögl, A., Hornoiu, A., Elefante, S., & Stadlbauer, S. (2022). Where
is the sweet spot? A procurement story of general purpose compute nodes. In ASHPC22
- Austrian-Slovenian HPC Meeting 2022 (p. 7). Grundlsee, Austria: EuroCC Austria.
https://doi.org/10.25365/phaidra.337'
chicago: Schlögl, Alois, Andrei Hornoiu, Stefano Elefante, and Stephan Stadlbauer.
“Where Is the Sweet Spot? A Procurement Story of General Purpose Compute Nodes.”
In ASHPC22 - Austrian-Slovenian HPC Meeting 2022, 7. EuroCC Austria, 2022.
https://doi.org/10.25365/phaidra.337.
ieee: A. Schlögl, A. Hornoiu, S. Elefante, and S. Stadlbauer, “Where is the sweet
spot? A procurement story of general purpose compute nodes,” in ASHPC22 - Austrian-Slovenian
HPC Meeting 2022, Grundlsee, Austria, 2022, p. 7.
ista: 'Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. 2022. Where is the sweet
spot? A procurement story of general purpose compute nodes. ASHPC22 - Austrian-Slovenian
HPC Meeting 2022. ASHPC: Austrian-Slovenian HPC Meeting, 7.'
mla: Schlögl, Alois, et al. “Where Is the Sweet Spot? A Procurement Story of General
Purpose Compute Nodes.” ASHPC22 - Austrian-Slovenian HPC Meeting 2022,
EuroCC Austria, 2022, p. 7, doi:10.25365/phaidra.337.
short: A. Schlögl, A. Hornoiu, S. Elefante, S. Stadlbauer, in:, ASHPC22 - Austrian-Slovenian
HPC Meeting 2022, EuroCC Austria, 2022, p. 7.
conference:
end_date: 2022-06-02
location: Grundlsee, Austria
name: 'ASHPC: Austrian-Slovenian HPC Meeting'
start_date: 2022-05-31
corr_author: '1'
date_created: 2023-05-05T09:13:42Z
date_published: 2022-06-02T00:00:00Z
date_updated: 2026-07-06T13:02:13Z
day: '02'
ddc:
- '000'
department:
- _id: ScienComp
doi: 10.25365/phaidra.337
file:
- access_level: open_access
checksum: e3f8c240b85422ce2190e7b203cc2563
content_type: application/pdf
creator: schloegl
date_created: 2023-05-05T09:06:00Z
date_updated: 2023-05-05T09:06:00Z
file_id: '12895'
file_name: BOOKLET_ASHPC22.pdf
file_size: 7180531
relation: main_file
success: 1
file_date_updated: 2023-05-05T09:06:00Z
fulldoi: https://doi.org/10.25365/phaidra.337
has_accepted_license: '1'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: '7'
publication: ASHPC22 - Austrian-Slovenian HPC Meeting 2022
publication_identifier:
isbn:
- 978-3-200-08499-5
publication_status: published
publisher: EuroCC Austria
status: public
title: Where is the sweet spot? A procurement story of general purpose compute nodes
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: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '17062'
acknowledgement: "Werner Siemens Foundation\r\nEuropean Union's Horizon 2020\r\nFWF
“Lise Meitner Fellowship”"
article_number: '159'
article_processing_charge: No
author:
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Yu
full_name: Liu, Yu
id: 2A70014E-F248-11E8-B48F-1D18A9856A87
last_name: Liu
orcid: 0000-0001-7313-6740
- first_name: Mariano
full_name: Calcabrini, Mariano
id: 45D7531A-F248-11E8-B48F-1D18A9856A87
last_name: Calcabrini
orcid: 0000-0003-4566-5877
citation:
ama: 'Ibáñez M, Liu Y, Calcabrini M. The importance of surface adsorbates in solution-processed
thermoelectric materials. In: Proceedings of the NanoGe Spring Meeting 2022.
Fundació de la comunitat valenciana SCITO; 2022. doi:10.29363/nanoge.nsm.2022.159'
apa: 'Ibáñez, M., Liu, Y., & Calcabrini, M. (2022). The importance of surface
adsorbates in solution-processed thermoelectric materials. In Proceedings of
the nanoGe Spring Meeting 2022. Spain/Virtual: Fundació de la comunitat valenciana
SCITO. https://doi.org/10.29363/nanoge.nsm.2022.159'
chicago: Ibáñez, Maria, Yu Liu, and Mariano Calcabrini. “The Importance of Surface
Adsorbates in Solution-Processed Thermoelectric Materials.” In Proceedings
of the NanoGe Spring Meeting 2022. Fundació de la comunitat valenciana SCITO,
2022. https://doi.org/10.29363/nanoge.nsm.2022.159.
ieee: M. Ibáñez, Y. Liu, and M. Calcabrini, “The importance of surface adsorbates
in solution-processed thermoelectric materials,” in Proceedings of the nanoGe
Spring Meeting 2022, Spain/Virtual, 2022.
ista: 'Ibáñez M, Liu Y, Calcabrini M. 2022. The importance of surface adsorbates
in solution-processed thermoelectric materials. Proceedings of the nanoGe Spring
Meeting 2022. SNI: Semiconductor Nanocrystals, 159.'
mla: Ibáñez, Maria, et al. “The Importance of Surface Adsorbates in Solution-Processed
Thermoelectric Materials.” Proceedings of the NanoGe Spring Meeting 2022,
159, Fundació de la comunitat valenciana SCITO, 2022, doi:10.29363/nanoge.nsm.2022.159.
short: M. Ibáñez, Y. Liu, M. Calcabrini, in:, Proceedings of the NanoGe Spring Meeting
2022, Fundació de la comunitat valenciana SCITO, 2022.
conference:
end_date: 2022-03-11
location: Spain/Virtual
name: 'SNI: Semiconductor Nanocrystals'
start_date: 2022-03-07
corr_author: '1'
date_created: 2024-05-29T05:38:47Z
date_published: 2022-02-07T00:00:00Z
date_updated: 2026-07-06T13:07:39Z
day: '07'
ddc:
- '530'
department:
- _id: MaIb
doi: 10.29363/nanoge.nsm.2022.159
fulldoi: https://doi.org/10.29363/nanoge.nsm.2022.159
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.29363/nanoge.nsm.2022.159
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: 9B8F7476-BA93-11EA-9121-9846C619BF3A
name: 'HighTE: The Werner Siemens Laboratory for the High Throughput Discovery of
Semiconductors for Waste Heat Recovery'
publication: Proceedings of the nanoGe Spring Meeting 2022
publication_status: published
publisher: Fundació de la comunitat valenciana SCITO
quality_controlled: '1'
related_material:
record:
- id: '10123'
relation: earlier_version
status: public
status: public
title: The importance of surface adsorbates in solution-processed thermoelectric materials
type: conference_abstract
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '12536'
abstract:
- lang: eng
text: 'We consider the problem of estimating a rank-1 signal corrupted by structured
rotationally invariant noise, and address the following question: how well do
inference algorithms perform when the noise statistics is unknown and hence Gaussian
noise is assumed? While the matched Bayes-optimal setting with unstructured noise
is well understood, the analysis of this mismatched problem is only at its premises.
In this paper, we make a step towards understanding the effect of the strong source
of mismatch which is the noise statistics. Our main technical contribution is
the rigorous analysis of a Bayes estimator and of an approximate message passing
(AMP) algorithm, both of which incorrectly assume a Gaussian setup. The first
result exploits the theory of spherical integrals and of low-rank matrix perturbations;
the idea behind the second one is to design and analyze an artificial AMP which,
by taking advantage of the flexibility in the denoisers, is able to "correct"
the mismatch. Armed with these sharp asymptotic characterizations, we unveil a
rich and often unexpected phenomenology. For example, despite AMP is in principle
designed to efficiently compute the Bayes estimator, the former is outperformed
by the latter in terms of mean-square error. We show that this performance gap
is due to an incorrect estimation of the signal norm. In fact, when the SNR is
large enough, the overlaps of the AMP and the Bayes estimator coincide, and they
even match those of optimal estimators taking into account the structure of the
noise.'
acknowledgement: "M. Mondelli was partially supported by the 2019 Lopez-Loreta Prize.
The authors acknowledge\r\ndiscussions with A. Krajenbrink, M. Robinson, A. Depope,
N. Macris and F. Pourkamali.\r\n"
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Jean
full_name: Barbier, Jean
last_name: Barbier
- first_name: TianQi
full_name: Hou, TianQi
last_name: Hou
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
- first_name: Manuel
full_name: Saenz, Manuel
last_name: Saenz
citation:
ama: 'Barbier J, Hou T, Mondelli M, Saenz M. The price of ignorance: How much does
it cost to forget noise structure in low-rank matrix estimation? In: 36th Conference
on Neural Information Processing Systems. Vol 35. Neural Information Processing
Systems Foundation; 2022.'
apa: 'Barbier, J., Hou, T., Mondelli, M., & Saenz, M. (2022). The price of ignorance:
How much does it cost to forget noise structure in low-rank matrix estimation?
In 36th Conference on Neural Information Processing Systems (Vol. 35).
New Orleans, LA, United States: Neural Information Processing Systems Foundation.'
chicago: 'Barbier, Jean, TianQi Hou, Marco Mondelli, and Manuel Saenz. “The Price
of Ignorance: How Much Does It Cost to Forget Noise Structure in Low-Rank Matrix
Estimation?” In 36th Conference on Neural Information Processing Systems,
Vol. 35. Neural Information Processing Systems Foundation, 2022.'
ieee: 'J. Barbier, T. Hou, M. Mondelli, and M. Saenz, “The price of ignorance: How
much does it cost to forget noise structure in low-rank matrix estimation?,” in
36th Conference on Neural Information Processing Systems, New Orleans,
LA, United States, 2022, vol. 35.'
ista: 'Barbier J, Hou T, Mondelli M, Saenz M. 2022. The price of ignorance: How
much does it cost to forget noise structure in low-rank matrix estimation? 36th
Conference on Neural Information Processing Systems. NeurIPS: Neural Information
Processing Systems, Advances in Neural Information Processing Systems, vol. 35.'
mla: 'Barbier, Jean, et al. “The Price of Ignorance: How Much Does It Cost to Forget
Noise Structure in Low-Rank Matrix Estimation?” 36th Conference on Neural Information
Processing Systems, vol. 35, Neural Information Processing Systems Foundation,
2022.'
short: J. Barbier, T. Hou, M. Mondelli, M. Saenz, in:, 36th Conference on Neural
Information Processing Systems, Neural Information Processing Systems Foundation,
2022.
conference:
end_date: 2022-12-09
location: New Orleans, LA, United States
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2022-11-28
corr_author: '1'
das_tickbox: '1'
date_created: 2023-02-10T13:45:41Z
date_published: 2022-11-20T00:00:00Z
date_updated: 2026-07-07T06:38:45Z
day: '20'
department:
- _id: MaMo
external_id:
arxiv:
- '2205.10009'
intvolume: ' 35'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2205.10009
month: '11'
oa: 1
oa_version: Preprint
publication: 36th Conference on Neural Information Processing Systems
publication_identifier:
isbn:
- '9781713871088'
issn:
- 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The price of ignorance: How much does it cost to forget noise structure in
low-rank matrix estimation?'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2022'
...
---
_id: '12775'
abstract:
- lang: eng
text: "We consider the problem of approximating the reachability probabilities in
Markov decision processes (MDP) with uncountable (continuous) state and action
spaces. While there are algorithms that, for special classes of such MDP, provide
a sequence of approximations converging to the true value in the limit, our aim
is to obtain an algorithm with guarantees on the precision of the approximation.\r\nAs
this problem is undecidable in general, assumptions on the MDP are necessary.
Our main contribution is to identify sufficient assumptions that are as weak as
possible, thus approaching the \"boundary\" of which systems can be correctly
and reliably analyzed. To this end, we also argue why each of our assumptions
is necessary for algorithms based on processing finitely many observations.\r\nWe
present two solution variants. The first one provides converging lower bounds
under weaker assumptions than typical ones from previous works concerned with
guarantees. The second one then utilizes stronger assumptions to additionally
provide converging upper bounds. Altogether, we obtain an anytime algorithm, i.e.
yielding a sequence of approximants with known and iteratively improving precision,
converging to the true value in the limit. Besides, due to the generality of our
assumptions, our algorithms are very general templates, readily allowing for various
heuristics from literature in contrast to, e.g., a specific discretization algorithm.
Our theoretical contribution thus paves the way for future practical improvements
without sacrificing correctness guarantees."
acknowledgement: "Kush Grover: The author has been supported by the DFG research training
group GRK\r\n2428 ConVeY.\r\nMaximilian Weininger: The author has been partially
supported by DFG projects 383882557\r\nStatistical Unbounded Verification (SUV)
and 427755713 Group-By Objectives in Probabilistic\r\nVerification (GOPro)"
alternative_title:
- LIPIcs
article_number: '11'
article_processing_charge: No
arxiv: 1
author:
- first_name: Kush
full_name: Grover, Kush
last_name: Grover
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: Maimilian
full_name: Weininger, Maimilian
last_name: Weininger
citation:
ama: 'Grover K, Kretinsky J, Meggendorfer T, Weininger M. Anytime guarantees for
reachability in uncountable Markov decision processes. In: 33rd International
Conference on Concurrency Theory. Vol 243. Schloss Dagstuhl - Leibniz-Zentrum
für Informatik; 2022. doi:10.4230/LIPIcs.CONCUR.2022.11'
apa: 'Grover, K., Kretinsky, J., Meggendorfer, T., & Weininger, M. (2022). Anytime
guarantees for reachability in uncountable Markov decision processes. In 33rd
International Conference on Concurrency Theory (Vol. 243). Warsaw, Poland:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.CONCUR.2022.11'
chicago: Grover, Kush, Jan Kretinsky, Tobias Meggendorfer, and Maimilian Weininger.
“Anytime Guarantees for Reachability in Uncountable Markov Decision Processes.”
In 33rd International Conference on Concurrency Theory, Vol. 243. Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2022. https://doi.org/10.4230/LIPIcs.CONCUR.2022.11.
ieee: K. Grover, J. Kretinsky, T. Meggendorfer, and M. Weininger, “Anytime guarantees
for reachability in uncountable Markov decision processes,” in 33rd International
Conference on Concurrency Theory, Warsaw, Poland, 2022, vol. 243.
ista: 'Grover K, Kretinsky J, Meggendorfer T, Weininger M. 2022. Anytime guarantees
for reachability in uncountable Markov decision processes. 33rd International
Conference on Concurrency Theory. CONCUR: Conference on Concurrency Theory, LIPIcs,
vol. 243, 11.'
mla: Grover, Kush, et al. “Anytime Guarantees for Reachability in Uncountable Markov
Decision Processes.” 33rd International Conference on Concurrency Theory,
vol. 243, 11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, doi:10.4230/LIPIcs.CONCUR.2022.11.
short: K. Grover, J. Kretinsky, T. Meggendorfer, M. Weininger, in:, 33rd International
Conference on Concurrency Theory, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2022.
conference:
end_date: 2022-09-16
location: Warsaw, Poland
name: 'CONCUR: Conference on Concurrency Theory'
start_date: 2022-09-13
corr_author: '1'
das_tickbox: '1'
date_created: 2023-03-28T08:09:32Z
date_published: 2022-09-15T00:00:00Z
date_updated: 2026-07-07T13:37:58Z
day: '15'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.CONCUR.2022.11
external_id:
arxiv:
- '2008.04824'
file:
- access_level: open_access
checksum: e282e43d3ae0ba6e067b72f4583e13c0
content_type: application/pdf
creator: dernst
date_created: 2023-09-26T10:43:15Z
date_updated: 2023-09-26T10:43:15Z
file_id: '14372'
file_name: 2022_LIPIcS_Grover.pdf
file_size: 960036
relation: main_file
success: 1
file_date_updated: 2023-09-26T10:43:15Z
fulldoi: https://doi.org/10.4230/LIPIcs.CONCUR.2022.11
has_accepted_license: '1'
intvolume: ' 243'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: 33rd International Conference on Concurrency Theory
publication_identifier:
issn:
- 1868-8969
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
quality_controlled: '1'
scopus_import: '1'
status: public
title: Anytime guarantees for reachability in uncountable Markov decision processes
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: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 243
year: '2022'
...