---
_id: '14739'
abstract:
- lang: eng
text: Attempts to incorporate topological information in supervised learning tasks
have resulted in the creation of several techniques for vectorizing persistent
homology barcodes. In this paper, we study thirteen such methods. Besides describing
an organizational framework for these methods, we comprehensively benchmark them
against three well-known classification tasks. Surprisingly, we discover that
the best-performing method is a simple vectorization, which consists only of a
few elementary summary statistics. Finally, we provide a convenient web application
which has been designed to facilitate exploration and experimentation with various
vectorization methods.
acknowledgement: "The work of Maria-Jose Jimenez, Eduardo Paluzo-Hidalgo and Manuel
Soriano-Trigueros was supported in part by the Spanish grant Ministerio de Ciencia
e Innovacion under Grants TED2021-129438B-I00 and PID2019-107339GB-I00, and in part
by REXASI-PRO H-EU project, call HORIZON-CL4-2021-HUMAN-01-01 under Grant 101070028.
The work of\r\nMaria-Jose Jimenez was supported by a grant of Convocatoria de la
Universidad de Sevilla para la recualificacion del sistema universitario español,
2021-23, funded by the European Union, NextGenerationEU. The work of Vidit Nanda
was supported in part by EPSRC under Grant EP/R018472/1 and in part by US AFOSR
under Grant FA9550-22-1-0462. \r\nWe are grateful to the team of GUDHI and TEASPOON
developers, for their work and their support. We are also grateful to Streamlit
for providing extra resources to deploy the web app\r\nonline on Streamlit community
cloud. We thank the anonymous referees for their helpful suggestions."
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Dashti
full_name: Ali, Dashti
last_name: Ali
- first_name: Aras
full_name: Asaad, Aras
last_name: Asaad
- first_name: Maria-Jose
full_name: Jimenez, Maria-Jose
last_name: Jimenez
- first_name: Vidit
full_name: Nanda, Vidit
last_name: Nanda
- first_name: Eduardo
full_name: Paluzo-Hidalgo, Eduardo
last_name: Paluzo-Hidalgo
- first_name: Manuel
full_name: Soriano Trigueros, Manuel
id: 15ebd7cf-15bf-11ee-aebd-bb4bb5121ea8
last_name: Soriano Trigueros
orcid: 0000-0003-2449-1433
citation:
ama: Ali D, Asaad A, Jimenez M-J, Nanda V, Paluzo-Hidalgo E, Soriano Trigueros M.
A survey of vectorization methods in topological data analysis. IEEE Transactions
on Pattern Analysis and Machine Intelligence. 2023;45(12):14069-14080. doi:10.1109/tpami.2023.3308391
apa: Ali, D., Asaad, A., Jimenez, M.-J., Nanda, V., Paluzo-Hidalgo, E., & Soriano
Trigueros, M. (2023). A survey of vectorization methods in topological data analysis.
IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/tpami.2023.3308391
chicago: Ali, Dashti, Aras Asaad, Maria-Jose Jimenez, Vidit Nanda, Eduardo Paluzo-Hidalgo,
and Manuel Soriano Trigueros. “A Survey of Vectorization Methods in Topological
Data Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence.
IEEE, 2023. https://doi.org/10.1109/tpami.2023.3308391.
ieee: D. Ali, A. Asaad, M.-J. Jimenez, V. Nanda, E. Paluzo-Hidalgo, and M. Soriano
Trigueros, “A survey of vectorization methods in topological data analysis,” IEEE
Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 12.
IEEE, pp. 14069–14080, 2023.
ista: Ali D, Asaad A, Jimenez M-J, Nanda V, Paluzo-Hidalgo E, Soriano Trigueros
M. 2023. A survey of vectorization methods in topological data analysis. IEEE
Transactions on Pattern Analysis and Machine Intelligence. 45(12), 14069–14080.
mla: Ali, Dashti, et al. “A Survey of Vectorization Methods in Topological Data
Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence,
vol. 45, no. 12, IEEE, 2023, pp. 14069–80, doi:10.1109/tpami.2023.3308391.
short: D. Ali, A. Asaad, M.-J. Jimenez, V. Nanda, E. Paluzo-Hidalgo, M. Soriano
Trigueros, IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2023)
14069–14080.
date_created: 2024-01-08T09:59:46Z
date_published: 2023-12-01T00:00:00Z
date_updated: 2025-09-09T14:08:56Z
day: '01'
ddc:
- '000'
department:
- _id: HeEd
doi: 10.1109/tpami.2023.3308391
external_id:
isi:
- '001104973300002'
file:
- access_level: open_access
checksum: 465c28ef0b151b4b1fb47977ed5581ab
content_type: application/pdf
creator: dernst
date_created: 2024-01-08T10:09:14Z
date_updated: 2024-01-08T10:09:14Z
file_id: '14740'
file_name: 2023_IEEEToP_Ali.pdf
file_size: 2370988
relation: main_file
success: 1
file_date_updated: 2024-01-08T10:09:14Z
has_accepted_license: '1'
intvolume: ' 45'
isi: 1
issue: '12'
keyword:
- Applied Mathematics
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Software
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '12'
oa: 1
oa_version: Published Version
page: 14069-14080
publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
publication_identifier:
eissn:
- 1939-3539
issn:
- 0162-8828
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: A survey of vectorization methods in topological data analysis
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 45
year: '2023'
...
---
_id: '14742'
abstract:
- lang: eng
text: "Chromosomal rearrangements (CRs) have been known since almost the beginning
of genetics.\r\nWhile an important role for CRs in speciation has been suggested,
evidence primarily stems\r\nfrom theoretical and empirical studies focusing on
the microevolutionary level (i.e., on taxon\r\npairs where speciation is often
incomplete). Although the role of CRs in eukaryotic speciation at\r\na macroevolutionary
level has been supported by associations between species diversity and\r\nrates
of evolution of CRs across phylogenies, these findings are limited to a restricted
range of\r\nCRs and taxa. Now that more broadly applicable and precise CR detection
approaches have\r\nbecome available, we address the challenges in filling some
of the conceptual and empirical\r\ngaps between micro- and macroevolutionary studies
on the role of CRs in speciation. We\r\nsynthesize what is known about the macroevolutionary
impact of CRs and suggest new research avenues to overcome the pitfalls of previous
studies to gain a more comprehensive understanding of the evolutionary significance
of CRs in speciation across the tree of life."
acknowledgement: "K.L. was funded by a Swiss National Science Foundation Eccellenza
project: The evolution of strong reproductive barriers towards the completion of
speciation (PCEFP3_202869). R.F.\r\nwas funded by an FCT CEEC (Fundação para a Ciênca
e a Tecnologia, Concurso Estímulo ao\r\nEmprego Científico) contract (2020.00275.
CEECIND) and by an FCT research project\r\n(PTDC/BIA-EVL/1614/2021). M.R. was funded
by the Swedish Research Council Vetenskapsrådet (grant number 2021-05243). A.M.W.
was partly funded by the Norwegian Research Council RCN. We thank Luis Silva for
his help preparing Figure 1. We are grateful to Maren Wellenreuther, Daniel Bolnick,
and two anonymous reviewers for their constructive feedback on an earlier version
of this paper."
article_number: a041447
article_processing_charge: No
article_type: original
author:
- first_name: Kay
full_name: Lucek, Kay
last_name: Lucek
- first_name: Mabel D.
full_name: Giménez, Mabel D.
last_name: Giménez
- first_name: Mathieu
full_name: Joron, Mathieu
last_name: Joron
- first_name: Marina
full_name: Rafajlović, Marina
last_name: Rafajlović
- first_name: Jeremy B.
full_name: Searle, Jeremy B.
last_name: Searle
- first_name: Nora
full_name: Walden, Nora
last_name: Walden
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
citation:
ama: 'Lucek K, Giménez MD, Joron M, et al. The impact of chromosomal rearrangements
in speciation: From micro- to macroevolution. Cold Spring Harbor Perspectives
in Biology. 2023;15(11). doi:10.1101/cshperspect.a041447'
apa: 'Lucek, K., Giménez, M. D., Joron, M., Rafajlović, M., Searle, J. B., Walden,
N., … Faria, R. (2023). The impact of chromosomal rearrangements in speciation:
From micro- to macroevolution. Cold Spring Harbor Perspectives in Biology.
Cold Spring Harbor Laboratory Press. https://doi.org/10.1101/cshperspect.a041447'
chicago: 'Lucek, Kay, Mabel D. Giménez, Mathieu Joron, Marina Rafajlović, Jeremy
B. Searle, Nora Walden, Anja M Westram, and Rui Faria. “The Impact of Chromosomal
Rearrangements in Speciation: From Micro- to Macroevolution.” Cold Spring Harbor
Perspectives in Biology. Cold Spring Harbor Laboratory Press, 2023. https://doi.org/10.1101/cshperspect.a041447.'
ieee: 'K. Lucek et al., “The impact of chromosomal rearrangements in speciation:
From micro- to macroevolution,” Cold Spring Harbor Perspectives in Biology,
vol. 15, no. 11. Cold Spring Harbor Laboratory Press, 2023.'
ista: 'Lucek K, Giménez MD, Joron M, Rafajlović M, Searle JB, Walden N, Westram
AM, Faria R. 2023. The impact of chromosomal rearrangements in speciation: From
micro- to macroevolution. Cold Spring Harbor Perspectives in Biology. 15(11),
a041447.'
mla: 'Lucek, Kay, et al. “The Impact of Chromosomal Rearrangements in Speciation:
From Micro- to Macroevolution.” Cold Spring Harbor Perspectives in Biology,
vol. 15, no. 11, a041447, Cold Spring Harbor Laboratory Press, 2023, doi:10.1101/cshperspect.a041447.'
short: K. Lucek, M.D. Giménez, M. Joron, M. Rafajlović, J.B. Searle, N. Walden,
A.M. Westram, R. Faria, Cold Spring Harbor Perspectives in Biology 15 (2023).
date_created: 2024-01-08T12:43:48Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2025-09-09T14:09:32Z
day: '01'
department:
- _id: NiBa
- _id: BeVi
doi: 10.1101/cshperspect.a041447
external_id:
isi:
- '001096272600001'
pmid:
- '37604585'
intvolume: ' 15'
isi: 1
issue: '11'
keyword:
- General Biochemistry
- Genetics and Molecular Biology
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/cshperspect.a041447
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
publication: Cold Spring Harbor Perspectives in Biology
publication_identifier:
issn:
- 1943-0264
publication_status: published
publisher: Cold Spring Harbor Laboratory Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'The impact of chromosomal rearrangements in speciation: From micro- to macroevolution'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 15
year: '2023'
...
---
_id: '14743'
abstract:
- lang: eng
text: Leader-based consensus algorithms are fast and efficient under normal conditions,
but lack robustness to adverse conditions due to their reliance on timeouts for
liveness. We present QuePaxa, the first protocol offering state-of-the-art normal-case
efficiency without depending on timeouts. QuePaxa uses a novel randomized asynchronous
consensus core to tolerate adverse conditions such as denial-of-service (DoS)
attacks, while a one-round-trip fast path preserves the normal-case efficiency
of Multi-Paxos or Raft. By allowing simultaneous proposers without destructive
interference, and using short hedging delays instead of conservative timeouts
to limit redundant effort, QuePaxa permits rapid recovery after leader failure
without risking costly view changes due to false timeouts. By treating leader
choice and hedging delay as a multi-armed-bandit optimization, QuePaxa achieves
responsiveness to prevalent conditions, and can choose the best leader even if
the current one has not failed. Experiments with a prototype confirm that QuePaxa
achieves normal-case LAN and WAN performance of 584k and 250k cmd/sec in throughput,
respectively, comparable to Multi-Paxos. Under conditions such as DoS attacks,
misconfigurations, or slow leaders that severely impact existing protocols, we
find that QuePaxa remains live with median latency under 380ms in WAN experiments.
acknowledgement: The authors would like to thank Marcos K. Aguilera, Pierluca Borsò,
Aleksey Charapko, Rachid Guerraoui, Jovan Komatovic, Derek Leung, Louis-Henri Merino,
Shailesh Mishra, Haochen Pan, Rodrigo Rodrigues, Lewis Tseng, and Haoqian Zhang
for their helpful feedback on early drafts of this paper.
article_processing_charge: No
author:
- first_name: Pasindu
full_name: Tennage, Pasindu
last_name: Tennage
- first_name: Cristina
full_name: Basescu, Cristina
last_name: Basescu
- first_name: Eleftherios
full_name: Kokoris Kogias, Eleftherios
id: f5983044-d7ef-11ea-ac6d-fd1430a26d30
last_name: Kokoris Kogias
- first_name: Ewa
full_name: Syta, Ewa
last_name: Syta
- first_name: Philipp
full_name: Jovanovic, Philipp
last_name: Jovanovic
- first_name: Vero
full_name: Estrada-Galinanes, Vero
last_name: Estrada-Galinanes
- first_name: Bryan
full_name: Ford, Bryan
last_name: Ford
citation:
ama: 'Tennage P, Basescu C, Kokoris Kogias E, et al. QuePaxa: Escaping the tyranny
of timeouts in consensus. In: Proceedings of the 29th Symposium on Operating
Systems Principles. Association for Computing Machinery; 2023:281-297. doi:10.1145/3600006.3613150'
apa: 'Tennage, P., Basescu, C., Kokoris Kogias, E., Syta, E., Jovanovic, P., Estrada-Galinanes,
V., & Ford, B. (2023). QuePaxa: Escaping the tyranny of timeouts in consensus.
In Proceedings of the 29th Symposium on Operating Systems Principles (pp.
281–297). Koblenz, Germany: Association for Computing Machinery. https://doi.org/10.1145/3600006.3613150'
chicago: 'Tennage, Pasindu, Cristina Basescu, Eleftherios Kokoris Kogias, Ewa Syta,
Philipp Jovanovic, Vero Estrada-Galinanes, and Bryan Ford. “QuePaxa: Escaping
the Tyranny of Timeouts in Consensus.” In Proceedings of the 29th Symposium
on Operating Systems Principles, 281–97. Association for Computing Machinery,
2023. https://doi.org/10.1145/3600006.3613150.'
ieee: 'P. Tennage et al., “QuePaxa: Escaping the tyranny of timeouts in consensus,”
in Proceedings of the 29th Symposium on Operating Systems Principles, Koblenz,
Germany, 2023, pp. 281–297.'
ista: 'Tennage P, Basescu C, Kokoris Kogias E, Syta E, Jovanovic P, Estrada-Galinanes
V, Ford B. 2023. QuePaxa: Escaping the tyranny of timeouts in consensus. Proceedings
of the 29th Symposium on Operating Systems Principles. SOSP: Symposium on Operating
Systems Principles, 281–297.'
mla: 'Tennage, Pasindu, et al. “QuePaxa: Escaping the Tyranny of Timeouts in Consensus.”
Proceedings of the 29th Symposium on Operating Systems Principles, Association
for Computing Machinery, 2023, pp. 281–97, doi:10.1145/3600006.3613150.'
short: P. Tennage, C. Basescu, E. Kokoris Kogias, E. Syta, P. Jovanovic, V. Estrada-Galinanes,
B. Ford, in:, Proceedings of the 29th Symposium on Operating Systems Principles,
Association for Computing Machinery, 2023, pp. 281–297.
conference:
end_date: 2023-10-26
location: Koblenz, Germany
name: 'SOSP: Symposium on Operating Systems Principles'
start_date: 2023-10-23
date_created: 2024-01-08T12:54:35Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2025-09-09T14:10:09Z
day: '01'
department:
- _id: ElKo
doi: 10.1145/3600006.3613150
external_id:
isi:
- '001135072900018'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1145/3600006.3613150
month: '10'
oa: 1
oa_version: Published Version
page: 281-297
publication: Proceedings of the 29th Symposium on Operating Systems Principles
publication_identifier:
isbn:
- '9798400702297'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'QuePaxa: Escaping the tyranny of timeouts in consensus'
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2023'
...
---
OA_place: publisher
OA_type: gold
_id: '17863'
abstract:
- lang: eng
text: Understanding and tuning charge transport over a single molecule is a fundamental
topic in molecular electronics. Single-molecule junctions composed of individual
molecules attached to two electrodes are the most common components built for
single-molecule charge transport studies. During the past two decades, rapid technical
and theoretical advances in single-molecule junctions have increased our understanding
of the conductance properties and functions of molecular devices. In this perspective
article, we introduce the basic principles of charge transport in single-molecule
junctions, then give an overview of recent progress in modulating single-molecule
transport through external stimuli such as electric field and potential, light,
mechanical force, heat, and chemical environment. Lastly, we discuss challenges
and offer views on future developments in molecular electronics.
article_number: '100115'
article_processing_charge: No
article_type: original
author:
- first_name: Qi
full_name: Zou, Qi
last_name: Zou
- first_name: Jin
full_name: Qiu, Jin
last_name: Qiu
- first_name: Yaping
full_name: Zang, Yaping
last_name: Zang
- first_name: He
full_name: Tian, He
last_name: Tian
- first_name: Latha
full_name: Venkataraman, Latha
id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
last_name: Venkataraman
orcid: 0000-0002-6957-6089
citation:
ama: Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. Modulating single-molecule charge
transport through external stimulus. eScience. 2023;3(3). doi:10.1016/j.esci.2023.100115
apa: Zou, Q., Qiu, J., Zang, Y., Tian, H., & Venkataraman, L. (2023). Modulating
single-molecule charge transport through external stimulus. EScience. Elsevier
BV. https://doi.org/10.1016/j.esci.2023.100115
chicago: Zou, Qi, Jin Qiu, Yaping Zang, He Tian, and Latha Venkataraman. “Modulating
Single-Molecule Charge Transport through External Stimulus.” EScience.
Elsevier BV, 2023. https://doi.org/10.1016/j.esci.2023.100115.
ieee: Q. Zou, J. Qiu, Y. Zang, H. Tian, and L. Venkataraman, “Modulating single-molecule
charge transport through external stimulus,” eScience, vol. 3, no. 3. Elsevier
BV, 2023.
ista: Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. 2023. Modulating single-molecule
charge transport through external stimulus. eScience. 3(3), 100115.
mla: Zou, Qi, et al. “Modulating Single-Molecule Charge Transport through External
Stimulus.” EScience, vol. 3, no. 3, 100115, Elsevier BV, 2023, doi:10.1016/j.esci.2023.100115.
short: Q. Zou, J. Qiu, Y. Zang, H. Tian, L. Venkataraman, EScience 3 (2023).
date_created: 2024-09-06T12:56:54Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2024-11-25T12:41:14Z
doi: 10.1016/j.esci.2023.100115
extern: '1'
intvolume: ' 3'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2667141723000332?via%3Dihub
month: '05'
oa: 1
oa_version: Published Version
publication: eScience
publication_identifier:
eissn:
- 2667-1417
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
scopus_import: '1'
status: public
title: Modulating single-molecule charge transport through external stimulus
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 3
year: '2023'
...
---
OA_place: publisher
OA_type: gold
_id: '17866'
abstract:
- lang: eng
text: Electric fields have been used to control and direct chemical reactions in
biochemistry and enzymatic catalysis, yet directly applying external electric
fields to activate reactions in bulk solution and to characterize them ex situ
remains a challenge. Here we utilize the scanning tunneling microscope-based break-junction
technique to investigate the electric field driven homolytic cleavage of the radical
initiator 4-(methylthio)benzoic peroxyanhydride at ambient temperatures in bulk
solution, without the use of co-initiators or photochemical activators. Through
time-dependent ex situ quantification by high performance liquid chromatography
using a UV-vis detector, we find that the electric field catalyzes the reaction.
Importantly, we demonstrate that the reaction rate in a field increases linearly
with the solvent dielectric constant. Using density functional theory calculations,
we show that the applied electric field decreases the dissociation energy of the
O–O bond and stabilizes the product relative to the reactant due to their different
dipole moments.
article_processing_charge: Yes
article_type: original
author:
- first_name: Boyuan
full_name: Zhang, Boyuan
last_name: Zhang
- first_name: Cedric
full_name: Schaack, Cedric
last_name: Schaack
- first_name: Claudia R.
full_name: Prindle, Claudia R.
last_name: Prindle
- first_name: Ethan A.
full_name: Vo, Ethan A.
last_name: Vo
- first_name: Miriam
full_name: Aziz, Miriam
last_name: Aziz
- first_name: Michael L.
full_name: Steigerwald, Michael L.
last_name: Steigerwald
- first_name: Timothy C.
full_name: Berkelbach, Timothy C.
last_name: Berkelbach
- first_name: Colin
full_name: Nuckolls, Colin
last_name: Nuckolls
- first_name: Latha
full_name: Venkataraman, Latha
id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
last_name: Venkataraman
orcid: 0000-0002-6957-6089
citation:
ama: Zhang B, Schaack C, Prindle CR, et al. Electric fields drive bond homolysis.
Chemical Science. 2023;14(7):1769-1774. doi:10.1039/d2sc06411a
apa: Zhang, B., Schaack, C., Prindle, C. R., Vo, E. A., Aziz, M., Steigerwald, M.
L., … Venkataraman, L. (2023). Electric fields drive bond homolysis. Chemical
Science. Royal Society of Chemistry. https://doi.org/10.1039/d2sc06411a
chicago: Zhang, Boyuan, Cedric Schaack, Claudia R. Prindle, Ethan A. Vo, Miriam
Aziz, Michael L. Steigerwald, Timothy C. Berkelbach, Colin Nuckolls, and Latha
Venkataraman. “Electric Fields Drive Bond Homolysis.” Chemical Science.
Royal Society of Chemistry, 2023. https://doi.org/10.1039/d2sc06411a.
ieee: B. Zhang et al., “Electric fields drive bond homolysis,” Chemical
Science, vol. 14, no. 7. Royal Society of Chemistry, pp. 1769–1774, 2023.
ista: Zhang B, Schaack C, Prindle CR, Vo EA, Aziz M, Steigerwald ML, Berkelbach
TC, Nuckolls C, Venkataraman L. 2023. Electric fields drive bond homolysis. Chemical
Science. 14(7), 1769–1774.
mla: Zhang, Boyuan, et al. “Electric Fields Drive Bond Homolysis.” Chemical Science,
vol. 14, no. 7, Royal Society of Chemistry, 2023, pp. 1769–74, doi:10.1039/d2sc06411a.
short: B. Zhang, C. Schaack, C.R. Prindle, E.A. Vo, M. Aziz, M.L. Steigerwald, T.C.
Berkelbach, C. Nuckolls, L. Venkataraman, Chemical Science 14 (2023) 1769–1774.
date_created: 2024-09-06T12:59:45Z
date_published: 2023-01-16T00:00:00Z
date_updated: 2024-11-25T15:01:40Z
day: '16'
doi: 10.1039/d2sc06411a
extern: '1'
external_id:
pmid:
- '36819847'
intvolume: ' 14'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://europepmc.org/article/pmc/pmc9931054
month: '01'
oa: 1
oa_version: Published Version
page: 1769-1774
pmid: 1
publication: Chemical Science
publication_identifier:
eissn:
- 2041-6539
issn:
- 2041-6520
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
status: public
title: Electric fields drive bond homolysis
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 14
year: '2023'
...
---
_id: '18179'
abstract:
- lang: eng
text: 'Linnik type problems concern the distribution of projections of integral
points on the unit sphere as their norm increases, and different generalizations
of this phenomenon. Our work addresses a question of this type: we prove the uniform
distribution of the projections of primitive Z2 points in the p-adic unit sphere,
as their (real) norm tends to infinity. The proof is via counting lattice points
in semi-simple S-arithmetic groups.'
- lang: fre
text: 'Les problèmes de type Linnik concernent la distribution des projections des
points entiers sur la sphère unitaire lorsque leur norme augmente et différentes
généralisations de ce phénomène. Notre travail s’intéresse à une question de ce
type : nous prouvons la distribution uniforme des projections des points primitifs
de Z2 sur la sphère unitaire p-adique lorsque leur norme (réelle) tend vers l’infini.
La preuve se fait en comptant les points d’un réseau dans des S-groupes arithmétiques
semi-simples.'
acknowledgement: The second author is supported by EPRSC grant EP/P026710/1.
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Antonin
full_name: Guilloux, Antonin
last_name: Guilloux
- first_name: Tal
full_name: Horesh, Tal
id: C8B7BF48-8D81-11E9-BCA9-F536E6697425
last_name: Horesh
citation:
ama: Guilloux A, Horesh T. p-adic directions of primitive vectors. Publications
mathématiques de Besançon - Algèbre et Théorie des nombres. 2023;2023:85-107.
doi:10.5802/pmb.50
apa: Guilloux, A., & Horesh, T. (2023). p-adic directions of primitive vectors.
Publications Mathématiques de Besançon - Algèbre et Théorie Des Nombres.
Presses Universitaires de Franche-Comté. https://doi.org/10.5802/pmb.50
chicago: Guilloux, Antonin, and Tal Horesh. “P-Adic Directions of Primitive Vectors.”
Publications Mathématiques de Besançon - Algèbre et Théorie Des Nombres.
Presses Universitaires de Franche-Comté, 2023. https://doi.org/10.5802/pmb.50.
ieee: A. Guilloux and T. Horesh, “p-adic directions of primitive vectors,” Publications
mathématiques de Besançon - Algèbre et Théorie des nombres, vol. 2023. Presses
Universitaires de Franche-Comté, pp. 85–107, 2023.
ista: Guilloux A, Horesh T. 2023. p-adic directions of primitive vectors. Publications
mathématiques de Besançon - Algèbre et Théorie des nombres. 2023, 85–107.
mla: Guilloux, Antonin, and Tal Horesh. “P-Adic Directions of Primitive Vectors.”
Publications Mathématiques de Besançon - Algèbre et Théorie Des Nombres,
vol. 2023, Presses Universitaires de Franche-Comté, 2023, pp. 85–107, doi:10.5802/pmb.50.
short: A. Guilloux, T. Horesh, Publications Mathématiques de Besançon - Algèbre
et Théorie Des Nombres 2023 (2023) 85–107.
corr_author: '1'
date_created: 2024-10-06T22:01:13Z
date_published: 2023-06-15T00:00:00Z
date_updated: 2025-04-14T09:25:44Z
day: '15'
ddc:
- '510'
department:
- _id: TiBr
doi: 10.5802/pmb.50
external_id:
arxiv:
- '2103.10889'
file:
- access_level: open_access
checksum: cefc47a2cf55a87f8e4960197f73353b
content_type: application/pdf
creator: dernst
date_created: 2024-10-07T11:32:32Z
date_updated: 2024-10-07T11:32:32Z
file_id: '18186'
file_name: 2023_MathBesancon_Guilloux.pdf
file_size: 1399390
relation: main_file
success: 1
file_date_updated: 2024-10-07T11:32:32Z
has_accepted_license: '1'
intvolume: ' 2023'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nd/4.0/
month: '06'
oa: 1
oa_version: Published Version
page: 85-107
project:
- _id: 26A8D266-B435-11E9-9278-68D0E5697425
grant_number: EP-P026710-2
name: Between rational and integral points
publication: Publications mathématiques de Besançon - Algèbre et Théorie des nombres
publication_identifier:
eissn:
- 2592-6616
issn:
- 2804-8504
publication_status: published
publisher: Presses Universitaires de Franche-Comté
quality_controlled: '1'
scopus_import: '1'
status: public
title: p-adic directions of primitive vectors
tmp:
image: /image/cc_by_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nd/4.0/legalcode
name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
short: CC BY-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2023
year: '2023'
...
---
_id: '18189'
abstract:
- lang: eng
text: 'Strongly interacting topological matter1 exhibits fundamentally new phenomena
with potential applications in quantum information technology2,3. Emblematic instances
are fractional quantum Hall (FQH) states4, in which the interplay of a magnetic
field and strong interactions gives rise to fractionally charged quasi-particles,
long-ranged entanglement and anyonic exchange statistics. Progress in engineering
synthetic magnetic fields5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21 has raised
the hope to create these exotic states in controlled quantum systems. However,
except for a recent Laughlin state of light22, preparing FQH states in engineered
systems remains elusive. Here we realize a FQH state with ultracold atoms in an
optical lattice. The state is a lattice version of a bosonic ν = 1/2 Laughlin
state4,23 with two particles on 16 sites. This minimal system already captures
many hallmark features of Laughlin-type FQH states24,25,26,27,28: we observe a
suppression of two-body interactions, we find a distinctive vortex structure in
the density correlations and we measure a fractional Hall conductivity of σH/σ0 = 0.6(2)
by means of the bulk response to a magnetic perturbation. Furthermore, by tuning
the magnetic field, we map out the transition point between the normal and the
FQH regime through a spectroscopic investigation of the many-body gap. Our work
provides a starting point for exploring highly entangled topological matter with
ultracold atoms29,30,31,32,33.'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Julian
full_name: Leonard, Julian
id: b75b3f45-7995-11ef-9bfd-9a9cd02c3577
last_name: Leonard
- first_name: Sooshin
full_name: Kim, Sooshin
last_name: Kim
- first_name: Joyce
full_name: Kwan, Joyce
last_name: Kwan
- first_name: Perrin
full_name: Segura, Perrin
last_name: Segura
- first_name: Fabian
full_name: Grusdt, Fabian
last_name: Grusdt
- first_name: Cécile
full_name: Repellin, Cécile
last_name: Repellin
- first_name: Nathan
full_name: Goldman, Nathan
last_name: Goldman
- first_name: Markus
full_name: Greiner, Markus
last_name: Greiner
citation:
ama: Leonard J, Kim S, Kwan J, et al. Realization of a fractional quantum Hall state
with ultracold atoms. Nature. 2023;619(7970):495-499. doi:10.1038/s41586-023-06122-4
apa: Leonard, J., Kim, S., Kwan, J., Segura, P., Grusdt, F., Repellin, C., … Greiner,
M. (2023). Realization of a fractional quantum Hall state with ultracold atoms.
Nature. Springer Nature. https://doi.org/10.1038/s41586-023-06122-4
chicago: Leonard, Julian, Sooshin Kim, Joyce Kwan, Perrin Segura, Fabian Grusdt,
Cécile Repellin, Nathan Goldman, and Markus Greiner. “Realization of a Fractional
Quantum Hall State with Ultracold Atoms.” Nature. Springer Nature, 2023.
https://doi.org/10.1038/s41586-023-06122-4.
ieee: J. Leonard et al., “Realization of a fractional quantum Hall state
with ultracold atoms,” Nature, vol. 619, no. 7970. Springer Nature, pp.
495–499, 2023.
ista: Leonard J, Kim S, Kwan J, Segura P, Grusdt F, Repellin C, Goldman N, Greiner
M. 2023. Realization of a fractional quantum Hall state with ultracold atoms.
Nature. 619(7970), 495–499.
mla: Leonard, Julian, et al. “Realization of a Fractional Quantum Hall State with
Ultracold Atoms.” Nature, vol. 619, no. 7970, Springer Nature, 2023, pp.
495–99, doi:10.1038/s41586-023-06122-4.
short: J. Leonard, S. Kim, J. Kwan, P. Segura, F. Grusdt, C. Repellin, N. Goldman,
M. Greiner, Nature 619 (2023) 495–499.
date_created: 2024-10-07T11:46:13Z
date_published: 2023-06-21T00:00:00Z
date_updated: 2024-10-08T11:09:24Z
day: '21'
doi: 10.1038/s41586-023-06122-4
extern: '1'
external_id:
arxiv:
- '2210.10919'
pmid:
- '37344594 '
intvolume: ' 619'
issue: '7970'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2210.10919
month: '06'
oa: 1
oa_version: Preprint
page: 495-499
pmid: 1
publication: Nature
publication_identifier:
eissn:
- 1476-4687
issn:
- 0028-0836
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Realization of a fractional quantum Hall state with ultracold atoms
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 619
year: '2023'
...
---
_id: '18190'
abstract:
- lang: eng
text: Strongly correlated systems can exhibit unexpected phenomena when brought
in a state far from equilibrium. An example is many-body localization, which prevents
generic interacting systems from reaching thermal equilibrium even at long times1,2.
The stability of the many-body localized phase has been predicted to be hindered
by the presence of small thermal inclusions that act as a bath, leading to the
delocalization of the entire system through an avalanche propagation mechanism3,4,5,6,7,8.
Here we study the dynamics of a thermal inclusion of variable size when it is
coupled to a many-body localized system. We find evidence for accelerated transport
of thermal inclusion into the localized region. We monitor how the avalanche spreads
through the localized system and thermalizes it site by site by measuring the
site-resolved entropy over time. Furthermore, we isolate the strongly correlated
bath-induced dynamics with multipoint correlations between the bath and the system.
Our results have implications on the robustness of many-body localized systems
and their critical behaviour.
article_processing_charge: No
article_type: letter_note
arxiv: 1
author:
- first_name: Julian
full_name: Leonard, Julian
id: b75b3f45-7995-11ef-9bfd-9a9cd02c3577
last_name: Leonard
- first_name: Sooshin
full_name: Kim, Sooshin
last_name: Kim
- first_name: Matthew
full_name: Rispoli, Matthew
last_name: Rispoli
- first_name: Alexander
full_name: Lukin, Alexander
last_name: Lukin
- first_name: Robert
full_name: Schittko, Robert
last_name: Schittko
- first_name: Joyce
full_name: Kwan, Joyce
last_name: Kwan
- first_name: Eugene
full_name: Demler, Eugene
last_name: Demler
- first_name: Dries
full_name: Sels, Dries
last_name: Sels
- first_name: Markus
full_name: Greiner, Markus
last_name: Greiner
citation:
ama: Leonard J, Kim S, Rispoli M, et al. Probing the onset of quantum avalanches
in a many-body localized system. Nature Physics. 2023;19(4):481-485. doi:10.1038/s41567-022-01887-3
apa: Leonard, J., Kim, S., Rispoli, M., Lukin, A., Schittko, R., Kwan, J., … Greiner,
M. (2023). Probing the onset of quantum avalanches in a many-body localized system.
Nature Physics. Springer Nature. https://doi.org/10.1038/s41567-022-01887-3
chicago: Leonard, Julian, Sooshin Kim, Matthew Rispoli, Alexander Lukin, Robert
Schittko, Joyce Kwan, Eugene Demler, Dries Sels, and Markus Greiner. “Probing
the Onset of Quantum Avalanches in a Many-Body Localized System.” Nature Physics.
Springer Nature, 2023. https://doi.org/10.1038/s41567-022-01887-3.
ieee: J. Leonard et al., “Probing the onset of quantum avalanches in a many-body
localized system,” Nature Physics, vol. 19, no. 4. Springer Nature, pp.
481–485, 2023.
ista: Leonard J, Kim S, Rispoli M, Lukin A, Schittko R, Kwan J, Demler E, Sels D,
Greiner M. 2023. Probing the onset of quantum avalanches in a many-body localized
system. Nature Physics. 19(4), 481–485.
mla: Leonard, Julian, et al. “Probing the Onset of Quantum Avalanches in a Many-Body
Localized System.” Nature Physics, vol. 19, no. 4, Springer Nature, 2023,
pp. 481–85, doi:10.1038/s41567-022-01887-3.
short: J. Leonard, S. Kim, M. Rispoli, A. Lukin, R. Schittko, J. Kwan, E. Demler,
D. Sels, M. Greiner, Nature Physics 19 (2023) 481–485.
date_created: 2024-10-07T11:46:33Z
date_published: 2023-01-26T00:00:00Z
date_updated: 2024-10-08T10:52:08Z
day: '26'
doi: 10.1038/s41567-022-01887-3
extern: '1'
external_id:
arxiv:
- '2012.15270'
intvolume: ' 19'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2012.15270
month: '01'
oa: 1
oa_version: Preprint
page: 481-485
publication: Nature Physics
publication_identifier:
eissn:
- 1745-2481
issn:
- 1745-2473
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Probing the onset of quantum avalanches in a many-body localized system
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 19
year: '2023'
...
---
_id: '18207'
abstract:
- lang: eng
text: Comparison of myoglobin structures reveals that protein isolated from horse
heart consistently adopts an alternate turn conformation in comparison to its
homologues. Analysis of hundreds of high-resolution structures discounts crystallization
conditions or the surrounding amino acid protein environment as explaining this
difference, that is also not captured by the AlphaFold prediction. Rather, a water
molecule is identified as stabilizing the conformation in the horse heart structure,
which immediately reverts to the whale conformation in molecular dynamics simulations
excluding that structural water.
article_number: '6094'
article_processing_charge: No
article_type: original
author:
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Ailie
full_name: Marx, Ailie
last_name: Marx
citation:
ama: Bronstein AM, Marx A. Water stabilizes an alternate turn conformation in horse
heart myoglobin. Scientific Reports. 2023;13. doi:10.1038/s41598-023-32821-z
apa: Bronstein, A. M., & Marx, A. (2023). Water stabilizes an alternate turn
conformation in horse heart myoglobin. Scientific Reports. Springer Nature.
https://doi.org/10.1038/s41598-023-32821-z
chicago: Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn
Conformation in Horse Heart Myoglobin.” Scientific Reports. Springer Nature,
2023. https://doi.org/10.1038/s41598-023-32821-z.
ieee: A. M. Bronstein and A. Marx, “Water stabilizes an alternate turn conformation
in horse heart myoglobin,” Scientific Reports, vol. 13. Springer Nature,
2023.
ista: Bronstein AM, Marx A. 2023. Water stabilizes an alternate turn conformation
in horse heart myoglobin. Scientific Reports. 13, 6094.
mla: Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation
in Horse Heart Myoglobin.” Scientific Reports, vol. 13, 6094, Springer
Nature, 2023, doi:10.1038/s41598-023-32821-z.
short: A.M. Bronstein, A. Marx, Scientific Reports 13 (2023).
date_created: 2024-10-08T12:46:41Z
date_published: 2023-04-13T00:00:00Z
date_updated: 2024-10-09T10:39:26Z
day: '13'
doi: 10.1038/s41598-023-32821-z
extern: '1'
external_id:
pmid:
- '37055458'
has_accepted_license: '1'
intvolume: ' 13'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41598-023-32821-z
month: '04'
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: Water stabilizes an alternate turn conformation in horse heart myoglobin
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: 13
year: '2023'
...
---
_id: '18208'
abstract:
- lang: eng
text: The holy grail of materials science is de novo molecular design, meaning engineering
molecules with desired characteristics. The introduction of generative deep learning
has greatly advanced efforts in this direction, yet molecular discovery remains
challenging and often inefficient. Herein we introduce GaUDI, a guided diffusion
model for inverse molecular design that combines an equivariant graph neural net
for property prediction and a generative diffusion model. We demonstrate GaUDI’s
effectiveness in designing molecules for organic electronic applications by using
single- and multiple-objective tasks applied to a generated dataset of 475,000
polycyclic aromatic systems. GaUDI shows improved conditional design, generating
molecules with optimal properties and even going beyond the original distribution
to suggest better molecules than those in the dataset. In addition to point-wise
targets, GaUDI can also be guided toward open-ended targets (for example, a minimum
or maximum) and in all cases achieves close to 100% validity of generated molecules.
article_processing_charge: No
article_type: original
author:
- first_name: Tomer
full_name: Weiss, Tomer
last_name: Weiss
- first_name: Eduardo
full_name: Mayo Yanes, Eduardo
last_name: Mayo Yanes
- first_name: Sabyasachi
full_name: Chakraborty, Sabyasachi
last_name: Chakraborty
- first_name: Luca
full_name: Cosmo, Luca
last_name: Cosmo
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Renana
full_name: Gershoni-Poranne, Renana
last_name: Gershoni-Poranne
citation:
ama: Weiss T, Mayo Yanes E, Chakraborty S, Cosmo L, Bronstein AM, Gershoni-Poranne
R. Guided diffusion for inverse molecular design. Nature Computational Science.
2023;3(10):873-882. doi:10.1038/s43588-023-00532-0
apa: Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., &
Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. Nature
Computational Science. Springer Nature. https://doi.org/10.1038/s43588-023-00532-0
chicago: Weiss, Tomer, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex
M. Bronstein, and Renana Gershoni-Poranne. “Guided Diffusion for Inverse Molecular
Design.” Nature Computational Science. Springer Nature, 2023. https://doi.org/10.1038/s43588-023-00532-0.
ieee: T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A. M. Bronstein, and R.
Gershoni-Poranne, “Guided diffusion for inverse molecular design,” Nature Computational
Science, vol. 3, no. 10. Springer Nature, pp. 873–882, 2023.
ista: Weiss T, Mayo Yanes E, Chakraborty S, Cosmo L, Bronstein AM, Gershoni-Poranne
R. 2023. Guided diffusion for inverse molecular design. Nature Computational Science.
3(10), 873–882.
mla: Weiss, Tomer, et al. “Guided Diffusion for Inverse Molecular Design.” Nature
Computational Science, vol. 3, no. 10, Springer Nature, 2023, pp. 873–82,
doi:10.1038/s43588-023-00532-0.
short: T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A.M. Bronstein, R. Gershoni-Poranne,
Nature Computational Science 3 (2023) 873–882.
date_created: 2024-10-08T12:46:58Z
date_published: 2023-10-05T00:00:00Z
date_updated: 2024-10-09T10:44:41Z
day: '05'
doi: 10.1038/s43588-023-00532-0
extern: '1'
external_id:
pmid:
- '38177755'
intvolume: ' 3'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.26434/chemrxiv-2023-z8ltp
month: '10'
oa: 1
oa_version: Preprint
page: 873-882
pmid: 1
publication: Nature Computational Science
publication_identifier:
issn:
- 2662-8457
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Guided diffusion for inverse molecular design
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2023'
...
---
_id: '18209'
abstract:
- lang: eng
text: In this work, interpretable deep learning was used to identify structure–property
relationships governing the HOMO–LUMO gap and the relative stability of polybenzenoid
hydrocarbons (PBHs) using a ring-based graph representation. This representation
was combined with a subunit-based perception of PBHs, allowing chemical insights
to be presented in terms of intuitive and simple structural motifs. The resulting
insights agree with conventional organic chemistry knowledge and electronic structure-based
analyses and also reveal new behaviors and identify influential structural motifs.
In particular, we evaluated and compared the effects of linear, angular, and branching
motifs on these two molecular properties and explored the role of dispersion in
mitigating the torsional strain inherent in nonplanar PBHs. Hence, the observed
regularities and the proposed analysis contribute to a deeper understanding of
the behavior of PBHs and form the foundation for design strategies for new functional
PBHs.
article_processing_charge: No
article_type: original
author:
- first_name: Tomer
full_name: Weiss, Tomer
last_name: Weiss
- first_name: Alexandra
full_name: Wahab, Alexandra
last_name: Wahab
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Renana
full_name: Gershoni-Poranne, Renana
last_name: Gershoni-Poranne
citation:
ama: Weiss T, Wahab A, Bronstein AM, Gershoni-Poranne R. Interpretable deep-learning
unveils structure–property relationships in polybenzenoid hydrocarbons. The
Journal of Organic Chemistry. 2023;88(14):9645-9656. doi:10.1021/acs.joc.2c02381
apa: Weiss, T., Wahab, A., Bronstein, A. M., & Gershoni-Poranne, R. (2023).
Interpretable deep-learning unveils structure–property relationships in polybenzenoid
hydrocarbons. The Journal of Organic Chemistry. American Chemical Society.
https://doi.org/10.1021/acs.joc.2c02381
chicago: Weiss, Tomer, Alexandra Wahab, Alex M. Bronstein, and Renana Gershoni-Poranne.
“Interpretable Deep-Learning Unveils Structure–Property Relationships in Polybenzenoid
Hydrocarbons.” The Journal of Organic Chemistry. American Chemical Society,
2023. https://doi.org/10.1021/acs.joc.2c02381.
ieee: T. Weiss, A. Wahab, A. M. Bronstein, and R. Gershoni-Poranne, “Interpretable
deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons,”
The Journal of Organic Chemistry, vol. 88, no. 14. American Chemical Society,
pp. 9645–9656, 2023.
ista: Weiss T, Wahab A, Bronstein AM, Gershoni-Poranne R. 2023. Interpretable deep-learning
unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal
of Organic Chemistry. 88(14), 9645–9656.
mla: Weiss, Tomer, et al. “Interpretable Deep-Learning Unveils Structure–Property
Relationships in Polybenzenoid Hydrocarbons.” The Journal of Organic Chemistry,
vol. 88, no. 14, American Chemical Society, 2023, pp. 9645–56, doi:10.1021/acs.joc.2c02381.
short: T. Weiss, A. Wahab, A.M. Bronstein, R. Gershoni-Poranne, The Journal of Organic
Chemistry 88 (2023) 9645–9656.
date_created: 2024-10-08T12:47:17Z
date_published: 2023-01-25T00:00:00Z
date_updated: 2024-10-09T10:49:42Z
day: '25'
doi: 10.1021/acs.joc.2c02381
extern: '1'
external_id:
pmid:
- '36696660'
intvolume: ' 88'
issue: '14'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 10.26434/chemrxiv-2022-krng1
month: '01'
oa: 1
oa_version: Preprint
page: 9645-9656
pmid: 1
publication: The Journal of Organic Chemistry
publication_identifier:
eissn:
- 1520-6904
issn:
- 0022-3263
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Interpretable deep-learning unveils structure–property relationships in polybenzenoid
hydrocarbons
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 88
year: '2023'
...
---
_id: '18214'
abstract:
- lang: eng
text: "Graph sparsification is a technique that approximates a given graph by a
sparse graph with a subset of vertices and/or edges. The goal of an effective
sparsification algorithm is to maintain specific graph properties relevant to
the downstream task while minimizing the graph's size. Graph algorithms often
suffer from long execution time due to the irregularity and the large real-world
graph size. Graph sparsification can be applied to greatly reduce the run time
of graph algorithms by substituting the full graph with a much smaller sparsified
graph, without significantly degrading the output quality. However, the interaction
between numerous sparsifiers and graph properties is not widely explored, and
the potential of graph sparsification is not fully understood.\r\n In
this work, we cover 16 widely-used graph metrics, 12 representative graph sparsification
algorithms, and 14 real-world input graphs spanning various categories, exhibiting
diverse characteristics, sizes, and densities. We developed a framework to extensively
assess the performance of these sparsification algorithms against graph metrics,
and provide insights to the results. Our study shows that there is no one sparsifier
that performs the best in preserving all graph properties, e.g. sparsifiers that
preserve distance-related graph properties (eccentricity) struggle to perform
well on Graph Neural Networks (GNN). This paper presents a comprehensive experimental
study evaluating the performance of sparsification algorithms in preserving essential
graph metrics. The insights inform future research in incorporating matching graph
sparsification to graph algorithms to maximize benefits while minimizing quality
degradation. Furthermore, we provide a framework to facilitate the future evaluation
of evolving sparsification algorithms, graph metrics, and ever-growing graph data."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Yuhan
full_name: Chen, Yuhan
last_name: Chen
- first_name: Haojie
full_name: Ye, Haojie
last_name: Ye
- first_name: Sanketh
full_name: Vedula, Sanketh
last_name: Vedula
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Ronald
full_name: Dreslinski, Ronald
last_name: Dreslinski
- first_name: Trevor
full_name: Mudge, Trevor
last_name: Mudge
- first_name: Nishil
full_name: Talati, Nishil
last_name: Talati
citation:
ama: Chen Y, Ye H, Vedula S, et al. Demystifying graph sparsification algorithms
in graph properties preservation. Proceedings of the VLDB Endowment. 2023;17(3):427-440.
doi:10.14778/3632093.3632106
apa: Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T.,
& Talati, N. (2023). Demystifying graph sparsification algorithms in graph
properties preservation. Proceedings of the VLDB Endowment. Association
for Computing Machinery. https://doi.org/10.14778/3632093.3632106
chicago: Chen, Yuhan, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald Dreslinski,
Trevor Mudge, and Nishil Talati. “Demystifying Graph Sparsification Algorithms
in Graph Properties Preservation.” Proceedings of the VLDB Endowment. Association
for Computing Machinery, 2023. https://doi.org/10.14778/3632093.3632106.
ieee: Y. Chen et al., “Demystifying graph sparsification algorithms in graph
properties preservation,” Proceedings of the VLDB Endowment, vol. 17, no.
3. Association for Computing Machinery, pp. 427–440, 2023.
ista: Chen Y, Ye H, Vedula S, Bronstein AM, Dreslinski R, Mudge T, Talati N. 2023.
Demystifying graph sparsification algorithms in graph properties preservation.
Proceedings of the VLDB Endowment. 17(3), 427–440.
mla: Chen, Yuhan, et al. “Demystifying Graph Sparsification Algorithms in Graph
Properties Preservation.” Proceedings of the VLDB Endowment, vol. 17, no.
3, Association for Computing Machinery, 2023, pp. 427–40, doi:10.14778/3632093.3632106.
short: Y. Chen, H. Ye, S. Vedula, A.M. Bronstein, R. Dreslinski, T. Mudge, N. Talati,
Proceedings of the VLDB Endowment 17 (2023) 427–440.
date_created: 2024-10-08T12:48:57Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2024-10-09T11:28:33Z
day: '01'
doi: 10.14778/3632093.3632106
extern: '1'
external_id:
arxiv:
- '2311.12314'
intvolume: ' 17'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2311.12314
month: '11'
oa: 1
oa_version: Preprint
page: 427-440
publication: Proceedings of the VLDB Endowment
publication_identifier:
issn:
- 2150-8097
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Demystifying graph sparsification algorithms in graph properties preservation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2023'
...
---
_id: '18215'
abstract:
- lang: eng
text: 'We study the problem of real-time scheduling in a multi-hop millimeter-wave
(mmWave) mesh. We develop a model-free deep reinforcement learning algorithm called
Adaptive Activator RL (AARL), which determines the subset of mmWave links that
should be activated during each time slot and the power level for each link. The
most important property of AARL is its ability to make scheduling decisions within
the strict time frame constraints of typical 5G mmWave networks. AARL can handle
a variety of network topologies, network loads, and interference models, it can
also adapt to different workloads. We demonstrate the operation of AARL on several
topologies: a small topology with 10 links, a moderately-sized mesh with 48 links,
and a large topology with 96 links. We show that for each topology, we compare
the throughput obtained by AARL to that of a benchmark algorithm called RPMA (Residual
Profit Maximizer Algorithm). The most important advantage of AARL compared to
RPMA is that it is much faster and can make the necessary scheduling decisions
very rapidly during every time slot, while RPMA cannot. In addition, the quality
of the scheduling decisions made by AARL outperforms those made by RPMA.'
article_processing_charge: No
arxiv: 1
author:
- first_name: Barak
full_name: Gahtan, Barak
last_name: Gahtan
- first_name: Reuven
full_name: Cohen, Reuven
last_name: Cohen
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Gil
full_name: Kedar, Gil
last_name: Kedar
citation:
ama: 'Gahtan B, Cohen R, Bronstein AM, Kedar G. Using deep reinforcement learning
for mmWave real-time scheduling. In: 14th International Conference on Network
of the Future. IEEE; 2023:71-79. doi:10.1109/nof58724.2023.10302794'
apa: 'Gahtan, B., Cohen, R., Bronstein, A. M., & Kedar, G. (2023). Using deep
reinforcement learning for mmWave real-time scheduling. In 14th International
Conference on Network of the Future (pp. 71–79). Izmir, Turkiye: IEEE. https://doi.org/10.1109/nof58724.2023.10302794'
chicago: Gahtan, Barak, Reuven Cohen, Alex M. Bronstein, and Gil Kedar. “Using Deep
Reinforcement Learning for MmWave Real-Time Scheduling.” In 14th International
Conference on Network of the Future, 71–79. IEEE, 2023. https://doi.org/10.1109/nof58724.2023.10302794.
ieee: B. Gahtan, R. Cohen, A. M. Bronstein, and G. Kedar, “Using deep reinforcement
learning for mmWave real-time scheduling,” in 14th International Conference
on Network of the Future, Izmir, Turkiye, 2023, pp. 71–79.
ista: 'Gahtan B, Cohen R, Bronstein AM, Kedar G. 2023. Using deep reinforcement
learning for mmWave real-time scheduling. 14th International Conference on Network
of the Future. NoF: Conference on Network of the Future, 71–79.'
mla: Gahtan, Barak, et al. “Using Deep Reinforcement Learning for MmWave Real-Time
Scheduling.” 14th International Conference on Network of the Future, IEEE,
2023, pp. 71–79, doi:10.1109/nof58724.2023.10302794.
short: B. Gahtan, R. Cohen, A.M. Bronstein, G. Kedar, in:, 14th International Conference
on Network of the Future, IEEE, 2023, pp. 71–79.
conference:
end_date: 2023-10-06
location: Izmir, Turkiye
name: 'NoF: Conference on Network of the Future'
start_date: 2023-10-04
date_created: 2024-10-08T12:50:18Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2024-10-09T11:40:45Z
day: '01'
doi: 10.1109/nof58724.2023.10302794
extern: '1'
external_id:
arxiv:
- '2210.01423'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2210.01423'
month: '11'
oa: 1
oa_version: Preprint
page: 71-79
publication: 14th International Conference on Network of the Future
publication_identifier:
eissn:
- 2833-0072
isbn:
- '9798350338089'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Using deep reinforcement learning for mmWave real-time scheduling
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '18216'
abstract:
- lang: eng
text: Protein structure, both at the global and local level, dictates function.
Proteins fold from chains of amino acids, forming secondary structures, α-helices
and β-strands, that, at least for globular proteins, subsequently fold into a
three-dimensional structure. Here, we show that a Ramachandran-type plot focusing
on the two dihedral angles separated by the peptide bond, and entirely contained
within an amino acid pair, defines a local structural unit. We further demonstrate
the usefulness of this cross-peptide-bond Ramachandran plot by showing that it
captures β-turn conformations in coil regions, that traditional Ramachandran plot
outliers fall into occupied regions of our plot, and that thermophilic proteins
prefer specific amino acid pair conformations. Further, we demonstrate experimentally
that the effect of a point mutation on backbone conformation and protein stability
depends on the amino acid pair context, i.e., the identity of the adjacent amino
acid, in a manner predictable by our method.
article_number: e2301064120
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Aviv A.
full_name: Rosenberg, Aviv A.
last_name: Rosenberg
- first_name: Nitsan
full_name: Yehishalom, Nitsan
last_name: Yehishalom
- 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, Yehishalom N, Marx A, Bronstein AM. An amino-domino model described
by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural
units. Proceedings of the National Academy of Sciences. 2023;120(44). doi:10.1073/pnas.2301064120
apa: Rosenberg, A. A., Yehishalom, N., Marx, A., & Bronstein, A. M. (2023).
An amino-domino model described by a cross-peptide-bond Ramachandran plot defines
amino acid pairs as local structural units. Proceedings of the National Academy
of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2301064120
chicago: Rosenberg, Aviv A., Nitsan Yehishalom, Ailie Marx, and Alex M. Bronstein.
“An Amino-Domino Model Described by a Cross-Peptide-Bond Ramachandran Plot Defines
Amino Acid Pairs as Local Structural Units.” Proceedings of the National Academy
of Sciences. National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2301064120.
ieee: A. A. Rosenberg, N. Yehishalom, A. Marx, and A. M. Bronstein, “An amino-domino
model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs
as local structural units,” Proceedings of the National Academy of Sciences,
vol. 120, no. 44. National Academy of Sciences, 2023.
ista: Rosenberg AA, Yehishalom N, Marx A, Bronstein AM. 2023. An amino-domino model
described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as
local structural units. Proceedings of the National Academy of Sciences. 120(44),
e2301064120.
mla: Rosenberg, Aviv A., et al. “An Amino-Domino Model Described by a Cross-Peptide-Bond
Ramachandran Plot Defines Amino Acid Pairs as Local Structural Units.” Proceedings
of the National Academy of Sciences, vol. 120, no. 44, e2301064120, National
Academy of Sciences, 2023, doi:10.1073/pnas.2301064120.
short: A.A. Rosenberg, N. Yehishalom, A. Marx, A.M. Bronstein, Proceedings of the
National Academy of Sciences 120 (2023).
date_created: 2024-10-08T12:50:36Z
date_published: 2023-10-25T00:00:00Z
date_updated: 2024-10-09T11:55:12Z
day: '25'
doi: 10.1073/pnas.2301064120
extern: '1'
external_id:
pmid:
- '37878722'
intvolume: ' 120'
issue: '44'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1073/pnas.2301064120
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: An amino-domino model described by a cross-peptide-bond Ramachandran plot defines
amino acid pairs as local structural units
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 120
year: '2023'
...
---
_id: '18217'
abstract:
- lang: eng
text: A central challenge in building robotic prostheses is the creation of a sensor-based
system able to read physiological signals from the lower limb and instruct a robotic
hand to perform various tasks. Existing systems typically perform discrete gestures
such as pointing or grasping, by employing electromyography (EMG) or ultrasound
(US) technologies to analyze muscle states. While estimating finger gestures has
been done in the past by detecting prominent gestures, we are interested in detection,
or inference, done in the context of fine motions that evolve over time. Examples
include motions occurring when performing fine and dexterous tasks such as keyboard
typing or piano playing. We consider this task as an important step towards higher
adoption rates of robotic prostheses among arm amputees, as it has the potential
to dramatically increase functionality in performing daily tasks. To this end,
we present an end-to-end robotic system, which can successfully infer fine finger
motions. This is achieved by modeling the hand as a robotic manipulator and using
it as an intermediate representation to encode muscles' dynamics from a sequence
of US images. We evaluated our method by collecting data from a group of subjects
and demonstrating how it can be used to replay music played or text typed. To
the best of our knowledge, this is the first study demonstrating these downstream
tasks within an end-to-end system.
article_processing_charge: No
arxiv: 1
author:
- first_name: Dean
full_name: Zadok, Dean
last_name: Zadok
- first_name: Oren
full_name: Salzman, Oren
last_name: Salzman
- first_name: Alon
full_name: Wolf, Alon
last_name: Wolf
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
citation:
ama: 'Zadok D, Salzman O, Wolf A, Bronstein AM. Towards predicting fine finger motions
from ultrasound images via kinematic representation. In: 2023 IEEE International
Conference on Robotics and Automation. Vol 27. IEEE; 2023. doi:10.1109/icra48891.2023.10160601'
apa: 'Zadok, D., Salzman, O., Wolf, A., & Bronstein, A. M. (2023). Towards predicting
fine finger motions from ultrasound images via kinematic representation. In 2023
IEEE International Conference on Robotics and Automation (Vol. 27). London,
United Kingdom: IEEE. https://doi.org/10.1109/icra48891.2023.10160601'
chicago: Zadok, Dean, Oren Salzman, Alon Wolf, and Alex M. Bronstein. “Towards Predicting
Fine Finger Motions from Ultrasound Images via Kinematic Representation.” In 2023
IEEE International Conference on Robotics and Automation, Vol. 27. IEEE, 2023.
https://doi.org/10.1109/icra48891.2023.10160601.
ieee: D. Zadok, O. Salzman, A. Wolf, and A. M. Bronstein, “Towards predicting fine
finger motions from ultrasound images via kinematic representation,” in 2023
IEEE International Conference on Robotics and Automation, London, United Kingdom,
2023, vol. 27.
ista: 'Zadok D, Salzman O, Wolf A, Bronstein AM. 2023. Towards predicting fine finger
motions from ultrasound images via kinematic representation. 2023 IEEE International
Conference on Robotics and Automation. ICRA: Conference on Robotics and Automation
vol. 27.'
mla: Zadok, Dean, et al. “Towards Predicting Fine Finger Motions from Ultrasound
Images via Kinematic Representation.” 2023 IEEE International Conference on
Robotics and Automation, vol. 27, IEEE, 2023, doi:10.1109/icra48891.2023.10160601.
short: D. Zadok, O. Salzman, A. Wolf, A.M. Bronstein, in:, 2023 IEEE International
Conference on Robotics and Automation, IEEE, 2023.
conference:
end_date: 2023-06-02
location: London, United Kingdom
name: 'ICRA: Conference on Robotics and Automation'
start_date: 2023-05-29
date_created: 2024-10-08T12:50:55Z
date_published: 2023-07-04T00:00:00Z
date_updated: 2024-10-09T12:00:32Z
day: '04'
doi: 10.1109/icra48891.2023.10160601
extern: '1'
external_id:
arxiv:
- '2202.05204'
intvolume: ' 27'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2202.05204
month: '07'
oa: 1
oa_version: Preprint
publication: 2023 IEEE International Conference on Robotics and Automation
publication_identifier:
eisbn:
- '9798350323658'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Towards predicting fine finger motions from ultrasound images via kinematic
representation
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 27
year: '2023'
...
---
_id: '18218'
abstract:
- lang: eng
text: Deep neural networks are known to be susceptible to adversarial perturbations
– small perturbations that alter the output of the network and exist under strict
norm limitations. While such perturbations are usually discussed as tailored to
a specific input, a universal perturbation can be constructed to alter the model’s
output on a set of inputs. Universal perturbations present a more realistic case
of adversarial attacks, as awareness of the model’s exact input is not required.
In addition, the universal attack setting raises the subject of generalization
to unseen data, where given a set of inputs, the universal perturbations aim to
alter the model’s output on out-of-sample data. In this work, we study physical
passive patch adversarial attacks on visual odometry-based autonomous navigation
systems. A visual odometry system aims to infer the relative camera motion between
two corresponding viewpoints, and is frequently used by vision-based autonomous
navigation systems to estimate their state. For such navigation systems, a patch
adversarial perturbation poses a severe security issue, as it can be used to mislead
a system onto some collision course. To the best of our knowledge, we show for
the first time that the error margin of a visual odometry model can be significantly
increased by deploying patch adversarial attacks in the scene. We provide evaluation
on synthetic closed-loop drone navigation data and demonstrate that a comparable
vulnerability exists in real data. A reference implementation of the proposed
method and the reported experiments is provided at https://github.com/patchadversarialattacks/patchadversarialattacks.
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Yaniv
full_name: Nemcovsky, Yaniv
last_name: Nemcovsky
- first_name: Matan
full_name: Jacoby, Matan
last_name: Jacoby
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Chaim
full_name: Baskin, Chaim
last_name: Baskin
citation:
ama: 'Nemcovsky Y, Jacoby M, Bronstein AM, Baskin C. Physical passive patch adversarial
attacks on visual odometry systems. In: 16th Asian Conference on Computer Vision.
Vol 13847. Springer Nature; 2023:518-534. doi:10.1007/978-3-031-26293-7_31'
apa: 'Nemcovsky, Y., Jacoby, M., Bronstein, A. M., & Baskin, C. (2023). Physical
passive patch adversarial attacks on visual odometry systems. In 16th Asian
Conference on Computer Vision (Vol. 13847, pp. 518–534). Macao, China: Springer
Nature. https://doi.org/10.1007/978-3-031-26293-7_31'
chicago: Nemcovsky, Yaniv, Matan Jacoby, Alex M. Bronstein, and Chaim Baskin. “Physical
Passive Patch Adversarial Attacks on Visual Odometry Systems.” In 16th Asian
Conference on Computer Vision, 13847:518–34. Springer Nature, 2023. https://doi.org/10.1007/978-3-031-26293-7_31.
ieee: Y. Nemcovsky, M. Jacoby, A. M. Bronstein, and C. Baskin, “Physical passive
patch adversarial attacks on visual odometry systems,” in 16th Asian Conference
on Computer Vision, Macao, China, 2023, vol. 13847, pp. 518–534.
ista: 'Nemcovsky Y, Jacoby M, Bronstein AM, Baskin C. 2023. Physical passive patch
adversarial attacks on visual odometry systems. 16th Asian Conference on Computer
Vision. ACCV: Asian Conference on Computer Vision, LNCS, vol. 13847, 518–534.'
mla: Nemcovsky, Yaniv, et al. “Physical Passive Patch Adversarial Attacks on Visual
Odometry Systems.” 16th Asian Conference on Computer Vision, vol. 13847,
Springer Nature, 2023, pp. 518–34, doi:10.1007/978-3-031-26293-7_31.
short: Y. Nemcovsky, M. Jacoby, A.M. Bronstein, C. Baskin, in:, 16th Asian Conference
on Computer Vision, Springer Nature, 2023, pp. 518–534.
conference:
end_date: 2022-12-08
location: Macao, China
name: 'ACCV: Asian Conference on Computer Vision'
start_date: 2022-12-04
date_created: 2024-10-08T12:51:14Z
date_published: 2023-03-11T00:00:00Z
date_updated: 2024-10-09T12:13:36Z
day: '11'
doi: 10.1007/978-3-031-26293-7_31
extern: '1'
external_id:
arxiv:
- '2207.05729'
intvolume: ' 13847'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2207.05729
month: '03'
oa: 1
oa_version: Preprint
page: 518-534
publication: 16th Asian Conference on Computer Vision
publication_identifier:
eisbn:
- '9783031262937'
eissn:
- 1611-3349
isbn:
- '9783031262920'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/patchadversarialattacks/patchadversarialattacks
scopus_import: '1'
status: public
title: Physical passive patch adversarial attacks on visual odometry systems
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13847
year: '2023'
...
---
_id: '18219'
abstract:
- lang: eng
text: Nowadays, many of the images captured are ‘observed’ by machines only and
not by humans, e.g., in autonomous systems. High-level machine vision models,
such as object recognition or semantic segmentation, assume images are transformed
into some canonical image space by the camera Image Signal Processor (ISP). However,
the camera ISP is optimized for producing visually pleasing images for human observers
and not for machines. Therefore, one may spare the ISP compute time and apply
vision models directly to RAW images. Yet, it has been shown that training such
models directly on RAW images results in a performance drop. To mitigate this
drop, we use a RAW and RGB image pairs dataset, which can be easily acquired with
no human labeling. We then train a model that is applied directly to the RAW data
by using knowledge distillation such that the model predictions for RAW images
will be aligned with the predictions of an off-the-shelf pre-trained model for
processed RGB images. Our experiments show that our performance on RAW images
for object classification and semantic segmentation is significantly better than
models trained on labeled RAW images. It also reasonably matches the predictions
of a pre-trained model on processed RGB images, while saving the ISP compute overhead.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Eli
full_name: Schwartz, Eli
last_name: Schwartz
- first_name: Alexander
full_name: Bronstein, Alexander
id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
last_name: Bronstein
orcid: 0000-0001-9699-8730
- first_name: Raja
full_name: Giryes, Raja
last_name: Giryes
citation:
ama: Schwartz E, Bronstein AM, Giryes R. ISP Distillation. IEEE Open Journal
of Signal Processing. 2023;4:12-20. doi:10.1109/ojsp.2023.3239819
apa: Schwartz, E., Bronstein, A. M., & Giryes, R. (2023). ISP Distillation.
IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics
Engineers. https://doi.org/10.1109/ojsp.2023.3239819
chicago: Schwartz, Eli, Alex M. Bronstein, and Raja Giryes. “ISP Distillation.”
IEEE Open Journal of Signal Processing. Institute of Electrical and Electronics
Engineers, 2023. https://doi.org/10.1109/ojsp.2023.3239819.
ieee: E. Schwartz, A. M. Bronstein, and R. Giryes, “ISP Distillation,” IEEE Open
Journal of Signal Processing, vol. 4. Institute of Electrical and Electronics
Engineers, pp. 12–20, 2023.
ista: Schwartz E, Bronstein AM, Giryes R. 2023. ISP Distillation. IEEE Open Journal
of Signal Processing. 4, 12–20.
mla: Schwartz, Eli, et al. “ISP Distillation.” IEEE Open Journal of Signal Processing,
vol. 4, Institute of Electrical and Electronics Engineers, 2023, pp. 12–20, doi:10.1109/ojsp.2023.3239819.
short: E. Schwartz, A.M. Bronstein, R. Giryes, IEEE Open Journal of Signal Processing
4 (2023) 12–20.
date_created: 2024-10-08T12:51:32Z
date_published: 2023-01-25T00:00:00Z
date_updated: 2024-10-09T12:24:13Z
day: '25'
doi: 10.1109/ojsp.2023.3239819
extern: '1'
external_id:
arxiv:
- '2101.10203'
intvolume: ' 4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1109/OJSP.2023.3239819
month: '01'
oa: 1
oa_version: Published Version
page: 12-20
publication: IEEE Open Journal of Signal Processing
publication_identifier:
issn:
- 2644-1322
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
scopus_import: '1'
status: public
title: ISP Distillation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2023'
...
---
OA_place: repository
_id: '18294'
abstract:
- lang: eng
text: Using a two-dimensional version of the delta method, we establish an asymptotic
formula for the number of rational points of bounded height on non-singular complete
intersections of cubic and quadric hypersurfaces of dimension at least 23 over
Fq(t), provided cha(Fq)>3. Under the same hypotheses, we also verify weak approximation.
article_number: '2306.02718'
article_processing_charge: No
arxiv: 1
author:
- first_name: Jakob
full_name: Glas, Jakob
id: d6423cba-dc74-11ea-a0a7-ee61689ff5fb
last_name: Glas
citation:
ama: Glas J. Complete intersections of cubic and quadric hypersurfaces over Fq(t).
arXiv. doi:10.48550/arXiv.2306.02718
apa: Glas, J. (n.d.). Complete intersections of cubic and quadric hypersurfaces
over Fq(t). arXiv. https://doi.org/10.48550/arXiv.2306.02718
chicago: Glas, Jakob. “Complete Intersections of Cubic and Quadric Hypersurfaces
over Fq(T).” ArXiv, n.d. https://doi.org/10.48550/arXiv.2306.02718.
ieee: J. Glas, “Complete intersections of cubic and quadric hypersurfaces over Fq(t),”
arXiv. .
ista: Glas J. Complete intersections of cubic and quadric hypersurfaces over Fq(t).
arXiv, 2306.02718.
mla: Glas, Jakob. “Complete Intersections of Cubic and Quadric Hypersurfaces over
Fq(T).” ArXiv, 2306.02718, doi:10.48550/arXiv.2306.02718.
short: J. Glas, ArXiv (n.d.).
corr_author: '1'
date_created: 2024-10-10T13:08:05Z
date_published: 2023-06-05T00:00:00Z
date_updated: 2025-04-15T08:05:39Z
day: '05'
department:
- _id: TiBr
doi: 10.48550/arXiv.2306.02718
external_id:
arxiv:
- '2306.02718'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2306.02718
month: '06'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: draft
related_material:
record:
- id: '18132'
relation: dissertation_contains
status: public
status: public
title: Complete intersections of cubic and quadric hypersurfaces over Fq(t)
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: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
OA_place: publisher
OA_type: hybrid
_id: '18621'
abstract:
- lang: eng
text: During neural development, cellular adhesion is crucial for interactions among
and between neurons and surrounding tissues. This function is mediated by conserved
cell adhesion molecules, which are tightly regulated to allow for coordinated
neuronal outgrowth. Here, we show that the proprotein convertase KPC-1 (homolog
of mammalian furin) regulates the Menorin adhesion complex during development
of PVD dendritic arbors in Caenorhabditis elegans. We found a finely regulated
antagonistic balance between PVD-expressed KPC-1 and the epidermally expressed
putative cell adhesion molecule MNR-1 (Menorin). Genetically, partial loss of
mnr-1 suppressed partial loss of kpc-1, and both loss of kpc-1 and transgenic
overexpression of mnr-1 resulted in indistinguishable phenotypes in PVD dendrites.
This balance regulated cell-surface localization of the DMA-1 leucine-rich transmembrane
receptor in PVD neurons. Lastly, kpc-1 mutants showed increased amounts of MNR-1
and decreased amounts of muscle-derived LECT-2 (Chondromodulin II), which is also
part of the Menorin adhesion complex. These observations suggest that KPC-1 in
PVD neurons directly or indirectly controls the abundance of proteins of the Menorin
adhesion complex from adjacent tissues, thereby providing negative feedback from
the dendrite to the instructive cues of surrounding tissues.
acknowledgement: "We thank members of the Bülow laboratory for comments on the manuscript
and discussions throughout the course of this work; and Ryan Peer and William Corman
for their initial help with the modifier genetic screen. We acknowledge the Genomics
Core facility and the Advanced Imaging Facility at Albert Einstein College of Medicine
for help during these studies. We are grateful to Kang Shen, David Miller and the
Caenorhabditis Genetics Center (which is funded by National Institutes of Health
Office of Research Infrastructure Programs P40OD0104400) for some of the strains
used in this study, and Lhisia Chen for the anti-SAX-7 antibody.\r\nThis work was
supported by grants from the National Institutes of Health (F31NS100370 to M.R.;
T32GM007288 and F31NS111939 to M.T.; R01NS096672, R21NS081505 and R01NS129992 to
H.E.B.; and P30HD071593 to Albert Einstein College of Medicine). N.J.R.-S. was the
recipient of a Colciencias-Fulbright Fellowship [funded by Departamento Administrativo
de Ciencia, Tecnología e Innovación (COLCIENCIAS) and Fulbright Colombia], L.T.H.T.
of a Croucher Foundation Fellowship, and H.E.B. of an Irma T. Hirschl Trust/Monique
Weill-Caulier Trust research fellowship. Open Access funding provided by Albert
Einstein College of Medicine, Yeshiva University. Deposited in PMC for immediate
release."
article_processing_charge: No
article_type: original
author:
- first_name: Nelson
full_name: Ramirez, Nelson
id: 39831956-E4FE-11E9-85DE-0DC7E5697425
last_name: Ramirez
- first_name: Helen M.
full_name: Belalcazar, Helen M.
last_name: Belalcazar
- first_name: Maisha
full_name: Rahman, Maisha
last_name: Rahman
- first_name: Meera
full_name: Trivedi, Meera
last_name: Trivedi
- first_name: Leo T. H.
full_name: Tang, Leo T. H.
last_name: Tang
- first_name: Hannes E.
full_name: Bülow, Hannes E.
last_name: Bülow
citation:
ama: Ramirez N, Belalcazar HM, Rahman M, Trivedi M, Tang LTH, Bülow HE. Convertase-dependent
regulation of membrane-tethered and secreted ligands tunes dendrite adhesion.
Development. 2023;150(18). doi:10.1242/dev.201208
apa: Ramirez, N., Belalcazar, H. M., Rahman, M., Trivedi, M., Tang, L. T. H., &
Bülow, H. E. (2023). Convertase-dependent regulation of membrane-tethered and
secreted ligands tunes dendrite adhesion. Development. The Company of Biologists.
https://doi.org/10.1242/dev.201208
chicago: Ramirez, Nelson, Helen M. Belalcazar, Maisha Rahman, Meera Trivedi, Leo
T. H. Tang, and Hannes E. Bülow. “Convertase-Dependent Regulation of Membrane-Tethered
and Secreted Ligands Tunes Dendrite Adhesion.” Development. The Company
of Biologists, 2023. https://doi.org/10.1242/dev.201208.
ieee: N. Ramirez, H. M. Belalcazar, M. Rahman, M. Trivedi, L. T. H. Tang, and H.
E. Bülow, “Convertase-dependent regulation of membrane-tethered and secreted ligands
tunes dendrite adhesion,” Development, vol. 150, no. 18. The Company of
Biologists, 2023.
ista: Ramirez N, Belalcazar HM, Rahman M, Trivedi M, Tang LTH, Bülow HE. 2023. Convertase-dependent
regulation of membrane-tethered and secreted ligands tunes dendrite adhesion.
Development. 150(18).
mla: Ramirez, Nelson, et al. “Convertase-Dependent Regulation of Membrane-Tethered
and Secreted Ligands Tunes Dendrite Adhesion.” Development, vol. 150, no.
18, The Company of Biologists, 2023, doi:10.1242/dev.201208.
short: N. Ramirez, H.M. Belalcazar, M. Rahman, M. Trivedi, L.T.H. Tang, H.E. Bülow,
Development 150 (2023).
date_created: 2024-12-04T22:02:52Z
date_published: 2023-09-18T00:00:00Z
date_updated: 2024-12-09T11:43:40Z
day: '18'
ddc:
- '570'
doi: 10.1242/dev.201208
extern: '1'
external_id:
pmid:
- '37721334'
file:
- access_level: open_access
checksum: d2158dc56db50457e6404c4afec4401c
content_type: application/pdf
creator: nramirez
date_created: 2024-12-04T22:12:04Z
date_updated: 2024-12-04T22:12:04Z
file_id: '18624'
file_name: dev201208.pdf
file_size: 9559527
relation: main_file
success: 1
file_date_updated: 2024-12-04T22:12:04Z
has_accepted_license: '1'
intvolume: ' 150'
issue: '18'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
publication: Development
publication_identifier:
eissn:
- 1477-9129
issn:
- 0950-1991
publication_status: published
publisher: The Company of Biologists
quality_controlled: '1'
scopus_import: '1'
status: public
title: Convertase-dependent regulation of membrane-tethered and secreted ligands tunes
dendrite adhesion
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: 150
year: '2023'
...
---
OA_place: repository
_id: '18634'
abstract:
- lang: eng
text: 'There are 4 tar.xz files with the result of the model for the paper: A 3D
glacier dynamics-line plume model to estimate the frontal ablation of Hansbreen,
Svalbard. '
article_processing_charge: No
author:
- first_name: José M
full_name: Muñoz Hermosilla, José M
id: e1037a6d-646e-11ef-b402-e0ed9ab0901e
last_name: Muñoz Hermosilla
citation:
ama: Muñoz Hermosilla JM. A 3D glacier dynamics-line plume model to estimate the
frontal ablation of Hansbreen. 2023. doi:10.5281/ZENODO.8005257
apa: Muñoz Hermosilla, J. M. (2023). A 3D glacier dynamics-line plume model to estimate
the frontal ablation of Hansbreen. Zenodo. https://doi.org/10.5281/ZENODO.8005257
chicago: Muñoz Hermosilla, José M. “A 3D Glacier Dynamics-Line Plume Model to Estimate
the Frontal Ablation of Hansbreen.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8005257.
ieee: J. M. Muñoz Hermosilla, “A 3D glacier dynamics-line plume model to estimate
the frontal ablation of Hansbreen.” Zenodo, 2023.
ista: Muñoz Hermosilla JM. 2023. A 3D glacier dynamics-line plume model to estimate
the frontal ablation of Hansbreen, Zenodo, 10.5281/ZENODO.8005257.
mla: Muñoz Hermosilla, José M. A 3D Glacier Dynamics-Line Plume Model to Estimate
the Frontal Ablation of Hansbreen. Zenodo, 2023, doi:10.5281/ZENODO.8005257.
short: J.M. Muñoz Hermosilla, (2023).
corr_author: '1'
date_created: 2024-12-09T09:33:07Z
date_published: 2023-06-05T00:00:00Z
date_updated: 2024-12-09T09:43:47Z
day: '05'
ddc:
- '550'
department:
- _id: FrPe
doi: 10.5281/ZENODO.8005257
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.8005258
month: '06'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '18628'
relation: research_data
status: public
status: public
title: A 3D glacier dynamics-line plume model to estimate the frontal ablation of
Hansbreen
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...