---
OA_place: repository
OA_type: green
_id: '21309'
abstract:
- lang: eng
text: The polarization of light is a critically under-utilized, rich source of information
in astronomy. For stars in particular, surface magnetism polarization that can
be detected and measured with spectro-polarimetry. Many questions about these
surface fields remain unanswered due to a lack of dedicated instruments capable
of probing weak and strong surface magnetic fields for the entire mass range of
stars, from M-dwarfs (and even substellar objects) to massive O-type stars at
different evolutionary stages and metallicities. These questions range from the
origin of these fields to their true incidence rate throughout the stellar population
and the dependence on metallicity. Magnetic fields, although currently often excluded
from stellar evolution models, play an important role in stellar evolution. Connecting
the surface fields to internal fields through asteroseismology will instigate
a new era of understanding stellar evolution and the transport of angular momentum
and chemical elements throughout stellar interiors, also impacting our understanding
of star-planet interactions and stellar remnants. Polarimetry is also an under-utilized
tool to observationally constrain the mode identification of nonradial oscillations,
which lies at the basis of accurate asteroseismic parameter estimation at percentage-level
for stellar radii, masses, ages, internal rotation, and magnetic field strengths.
Combining strong constraints on mode identification and surface magnetic properties
through the acquisition of time-resolved, high-resolution and high-signal-to-noise
(S/N) spectro-polarimetry and spectroscopy promises to bring leaps forward in
our understanding of stellar structure, particularly when combined with long-term
space photometric data from past, current, and future missions.
article_number: '2512.15170'
article_processing_charge: No
arxiv: 1
author:
- first_name: J.
full_name: Vandersnickt, J.
last_name: Vandersnickt
- first_name: R. Ochoa
full_name: Armenta, R. Ochoa
last_name: Armenta
- first_name: V.
full_name: Vanlaer, V.
last_name: Vanlaer
- first_name: A. David-Uraz
full_name: A. David-Uraz, A. David-Uraz
last_name: A. David-Uraz
- first_name: C.
full_name: Aerts, C.
last_name: Aerts
- first_name: S. B.
full_name: Das, S. B.
last_name: Das
- first_name: J. -C.
full_name: Bouret, J. -C.
last_name: Bouret
- first_name: D. M.
full_name: Bowman, D. M.
last_name: Bowman
- first_name: Lisa Annabelle
full_name: Bugnet, Lisa Annabelle
id: d9edb345-f866-11ec-9b37-d119b5234501
last_name: Bugnet
orcid: 0000-0003-0142-4000
- first_name: V.
full_name: Khalack, V.
last_name: Khalack
- first_name: J. Labadie-Bartz
full_name: J. Labadie-Bartz, J. Labadie-Bartz
last_name: J. Labadie-Bartz
- first_name: S.
full_name: Mathis, S.
last_name: Mathis
- first_name: Y.
full_name: Nazé, Y.
last_name: Nazé
- first_name: C.
full_name: Neiner, C.
last_name: Neiner
- first_name: P.
full_name: Petit, P.
last_name: Petit
- first_name: V.
full_name: Petit, V.
last_name: Petit
- first_name: K. Thomson-Paressant
full_name: K. Thomson-Paressant, K. Thomson-Paressant
last_name: K. Thomson-Paressant
- first_name: T. Van
full_name: Doorsselaere, T. Van
last_name: Doorsselaere
- first_name: M.
full_name: Vanrespaille, M.
last_name: Vanrespaille
citation:
ama: Vandersnickt J, Armenta RO, Vanlaer V, et al. Expanding stellar horizons with
polarized light. arXiv. doi:10.48550/arXiv.2512.15170
apa: Vandersnickt, J., Armenta, R. O., Vanlaer, V., A. David-Uraz, A. D.-U., Aerts,
C., Das, S. B., … Vanrespaille, M. (n.d.). Expanding stellar horizons with polarized
light. arXiv. https://doi.org/10.48550/arXiv.2512.15170
chicago: Vandersnickt, J., R. Ochoa Armenta, V. Vanlaer, A. David-Uraz A. David-Uraz,
C. Aerts, S. B. Das, J. -C. Bouret, et al. “Expanding Stellar Horizons with Polarized
Light.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2512.15170.
ieee: J. Vandersnickt et al., “Expanding stellar horizons with polarized
light,” arXiv. .
ista: Vandersnickt J, Armenta RO, Vanlaer V, A. David-Uraz AD-U, Aerts C, Das SB,
Bouret J-C, Bowman DM, Bugnet LA, Khalack V, J. Labadie-Bartz JL-B, Mathis S,
Nazé Y, Neiner C, Petit P, Petit V, K. Thomson-Paressant KT-P, Doorsselaere TV,
Vanrespaille M. Expanding stellar horizons with polarized light. arXiv, 2512.15170.
mla: Vandersnickt, J., et al. “Expanding Stellar Horizons with Polarized Light.”
ArXiv, 2512.15170, doi:10.48550/arXiv.2512.15170.
short: J. Vandersnickt, R.O. Armenta, V. Vanlaer, A.D.-U. A. David-Uraz, C. Aerts,
S.B. Das, J.-C. Bouret, D.M. Bowman, L.A. Bugnet, V. Khalack, J.L.-B. J. Labadie-Bartz,
S. Mathis, Y. Nazé, C. Neiner, P. Petit, V. Petit, K.T.-P. K. Thomson-Paressant,
T.V. Doorsselaere, M. Vanrespaille, ArXiv (n.d.).
date_created: 2026-02-17T13:53:50Z
date_published: 2025-12-17T00:00:00Z
date_updated: 2026-04-07T06:00:40Z
day: '17'
department:
- _id: LiBu
doi: 10.48550/arXiv.2512.15170
external_id:
arxiv:
- '2512.15170'
fulldoi: https://doi.org/10.48550/arXiv.2512.15170
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2512.15170
month: '12'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: Expanding stellar horizons with polarized light
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21317'
abstract:
- lang: eng
text: Accreting white dwarfs (WDs) in close binary systems, commonly known as cataclysmic
variables (CVs), with orbital periods below the canonical period minimum (≈80
minutes) are rare. Such short periods can only be reached if the donor star in
the CV is either significantly evolved before initiating mass transfer to the
WD or is metal-poor. We present optical photometry and spectroscopy of Gaia19bxc,
a high-amplitude variable identified as a polar CV with an exceptionally short
orbital period of 64.42 minutes—well below the canonical CV period minimum. High-speed
photometry confirms persistent double-peaked variability consistent with cyclotron
beaming, thus indicating the presence of a magnetic WD. Phase-resolved Keck/Low-Resolution
Imaging Spectrometer (LRIS) spectroscopy reveals strong hydrogen and helium emission
lines but no donor features, indicating the accretor is a magnetic WD and the
donor is hydrogen-rich, but cold and faint. The absence of a detectable donor
and the low inferred temperature (≲3500 K) disfavor an evolved donor scenario.
Instead, the short period and the system’s halo-like kinematics suggest Gaia19bxc
may be the first known metal-poor polar. Because metal-poor donors are more compact
than solar-metallicity donors of the same mass, they can reach shorter minimum
periods. Gaia19bxc is one of only a handful of known metal-poor CVs below the
canonical period minimum and has the shortest period of any such magnetic system
discovered to date.
acknowledgement: "Based on observations obtained with the Samuel Oschin Telescope
48 inch and the 60 inch Telescope at the Palomar Observatory as part of the Zwicky
Transient Facility project. ZTF is supported by the National Science Foundation
under grants No. AST-1440341 and AST-2034437 and a collaboration including current
partners Caltech, IPAC, the Weizmann Institute of Science, the Oskar Klein Center
at Stockholm University, the University of Maryland, Deutsches Elektronen-Synchrotron
and Humboldt University, the TANGO Consortium of Taiwan, the University of Wisconsin
at Milwaukee, Trinity College Dublin, Lawrence Livermore National Laboratories,
IN2P3, University of Warwick, Ruhr University Bochum, Northwestern University and
former partners the University of Washington, Los Alamos National Laboratories,
and Lawrence Berkeley National Laboratories. Operations are conducted by COO, IPAC,
and UW. This work has made use of data from the European Space Agency (ESA) mission
Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and
Analysis Consortium (DPAC; https://www.cosmos.esa.int/web/gaia/dpac/consortium).
Funding for the DPAC has been provided by national institutions, in particular the
institutions participating in the Gaia Multilateral Agreement. Some of the data
presented herein were obtained at Keck Observatory, which is a private 501(c)3 nonprofit
organization operated as a scientific partnership among the California Institute
of Technology, the University of California, and the National Aeronautics and Space
Administration. The Observatory was made possible by the generous financial support
of the W. M. Keck Foundation. We wish to recognize and acknowledge the very significant
cultural role and reverence that the summit of Maunakea has always had within the
Native Hawaiian community. We are most fortunate to have had the opportunity to
conduct observations from this mountain. We are grateful to the staff of the Palomar
and Keck Observatories for their work in helping us carry out our observations.\r\n\r\nI.G.
acknowledges support from Kazan Federal University. A.C.R. acknowledges support
from the National Science Foundation via an NSF Graduate Research Fellowship. We
thank the anonymous referee for useful comments and suggestions, which contributed
to the improvement of this manuscript."
article_number: L57
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Ilkham
full_name: Galiullin, Ilkham
last_name: Galiullin
- first_name: Antonio C.
full_name: Rodriguez, Antonio C.
last_name: Rodriguez
- first_name: Kareem
full_name: El-Badry, Kareem
last_name: El-Badry
- first_name: Ilaria
full_name: Caiazzo, Ilaria
id: 8ae5b6e7-2a03-11ee-914d-b58ed7a3b47d
last_name: Caiazzo
orcid: 0000-0002-4770-5388
- first_name: Paula
full_name: Szkody, Paula
last_name: Szkody
- first_name: Pranav
full_name: Nagarajan, Pranav
last_name: Nagarajan
- first_name: Samuel
full_name: Whitebook, Samuel
last_name: Whitebook
citation:
ama: Galiullin I, Rodriguez AC, El-Badry K, et al. Optical spectroscopy of the most
compact accreting binary harboring a magnetic White Dwarf and a hydrogen-rich
donor. The Astrophysical Journal Letters. 2025;990(2). doi:10.3847/2041-8213/adff82
apa: Galiullin, I., Rodriguez, A. C., El-Badry, K., Caiazzo, I., Szkody, P., Nagarajan,
P., & Whitebook, S. (2025). Optical spectroscopy of the most compact accreting
binary harboring a magnetic White Dwarf and a hydrogen-rich donor. The Astrophysical
Journal Letters. IOP Publishing. https://doi.org/10.3847/2041-8213/adff82
chicago: Galiullin, Ilkham, Antonio C. Rodriguez, Kareem El-Badry, Ilaria Caiazzo,
Paula Szkody, Pranav Nagarajan, and Samuel Whitebook. “Optical Spectroscopy of
the Most Compact Accreting Binary Harboring a Magnetic White Dwarf and a Hydrogen-Rich
Donor.” The Astrophysical Journal Letters. IOP Publishing, 2025. https://doi.org/10.3847/2041-8213/adff82.
ieee: I. Galiullin et al., “Optical spectroscopy of the most compact accreting
binary harboring a magnetic White Dwarf and a hydrogen-rich donor,” The Astrophysical
Journal Letters, vol. 990, no. 2. IOP Publishing, 2025.
ista: Galiullin I, Rodriguez AC, El-Badry K, Caiazzo I, Szkody P, Nagarajan P, Whitebook
S. 2025. Optical spectroscopy of the most compact accreting binary harboring a
magnetic White Dwarf and a hydrogen-rich donor. The Astrophysical Journal Letters.
990(2), L57.
mla: Galiullin, Ilkham, et al. “Optical Spectroscopy of the Most Compact Accreting
Binary Harboring a Magnetic White Dwarf and a Hydrogen-Rich Donor.” The Astrophysical
Journal Letters, vol. 990, no. 2, L57, IOP Publishing, 2025, doi:10.3847/2041-8213/adff82.
short: I. Galiullin, A.C. Rodriguez, K. El-Badry, I. Caiazzo, P. Szkody, P. Nagarajan,
S. Whitebook, The Astrophysical Journal Letters 990 (2025).
date_created: 2026-02-18T10:17:04Z
date_published: 2025-09-08T00:00:00Z
date_updated: 2026-02-19T07:27:01Z
day: '08'
ddc:
- '520'
department:
- _id: IlCa
doi: 10.3847/2041-8213/adff82
external_id:
arxiv:
- '2508.20170'
file:
- access_level: open_access
checksum: f76556d129aa0e9facc85602b0b5b54d
content_type: application/pdf
creator: dernst
date_created: 2026-02-19T07:24:10Z
date_updated: 2026-02-19T07:24:10Z
file_id: '21329'
file_name: 2025_AstrophysicalJournal_Galiullin.pdf
file_size: 3772189
relation: main_file
success: 1
file_date_updated: 2026-02-19T07:24:10Z
fulldoi: https://doi.org/10.3847/2041-8213/adff82
has_accepted_license: '1'
intvolume: ' 990'
issue: '2'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '09'
oa: 1
oa_version: Published Version
publication: The Astrophysical Journal Letters
publication_identifier:
eissn:
- 2041-8213
issn:
- 2041-8205
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optical spectroscopy of the most compact accreting binary harboring a magnetic
White Dwarf and a hydrogen-rich donor
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: 990
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '21318'
abstract:
- lang: eng
text: Matter waves have been observed in double-slit experiments with microscopic
objects, such as atoms or molecules. The wave function describing the motion of
these objects must extend over a distance comparable to the slit separation, much
larger than the characteristic size of the objects. Preparing such states for
more massive objects, such as mechanical oscillators, remains an outstanding challenge.
Here we delocalize the quantum ground state of an optically levitated nanosphere
by modulating the stiffness of the confining potential. We show a more than threefold
increase of the initial coherence length, which corresponds to mechanical momentum
squeezing of more than 7 dB. Our work is a stepping stone toward the generation
of coherence lengths comparable to the object size, a crucial regime for macroscopic
quantum experiments.
article_number: '083601'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: M.
full_name: Rossi, M.
last_name: Rossi
- first_name: Andrei
full_name: Militaru, Andrei
id: d67706f8-8eb1-11ee-ad1b-9c30dfa19e0b
last_name: Militaru
- first_name: N.
full_name: Carlon Zambon, N.
last_name: Carlon Zambon
- first_name: A.
full_name: Riera-Campeny, A.
last_name: Riera-Campeny
- first_name: O.
full_name: Romero-Isart, O.
last_name: Romero-Isart
- first_name: M.
full_name: Frimmer, M.
last_name: Frimmer
- first_name: L.
full_name: Novotny, L.
last_name: Novotny
citation:
ama: Rossi M, Militaru A, Carlon Zambon N, et al. Quantum delocalization of a levitated
nanoparticle. Physical Review Letters. 2025;135(8). doi:10.1103/2yzc-fsm3
apa: Rossi, M., Militaru, A., Carlon Zambon, N., Riera-Campeny, A., Romero-Isart,
O., Frimmer, M., & Novotny, L. (2025). Quantum delocalization of a levitated
nanoparticle. Physical Review Letters. American Physical Society. https://doi.org/10.1103/2yzc-fsm3
chicago: Rossi, M., Andrei Militaru, N. Carlon Zambon, A. Riera-Campeny, O. Romero-Isart,
M. Frimmer, and L. Novotny. “Quantum Delocalization of a Levitated Nanoparticle.”
Physical Review Letters. American Physical Society, 2025. https://doi.org/10.1103/2yzc-fsm3.
ieee: M. Rossi et al., “Quantum delocalization of a levitated nanoparticle,”
Physical Review Letters, vol. 135, no. 8. American Physical Society, 2025.
ista: Rossi M, Militaru A, Carlon Zambon N, Riera-Campeny A, Romero-Isart O, Frimmer
M, Novotny L. 2025. Quantum delocalization of a levitated nanoparticle. Physical
Review Letters. 135(8), 083601.
mla: Rossi, M., et al. “Quantum Delocalization of a Levitated Nanoparticle.” Physical
Review Letters, vol. 135, no. 8, 083601, American Physical Society, 2025,
doi:10.1103/2yzc-fsm3.
short: M. Rossi, A. Militaru, N. Carlon Zambon, A. Riera-Campeny, O. Romero-Isart,
M. Frimmer, L. Novotny, Physical Review Letters 135 (2025).
date_created: 2026-02-18T10:19:30Z
date_published: 2025-08-19T00:00:00Z
date_updated: 2026-02-24T07:03:57Z
day: '19'
department:
- _id: JoFi
doi: 10.1103/2yzc-fsm3
external_id:
arxiv:
- '2408.01264'
pmid:
- '40929305'
fulldoi: https://doi.org/10.1103/2yzc-fsm3
intvolume: ' 135'
issue: '8'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2408.01264
month: '08'
oa: 1
oa_version: Preprint
pmid: 1
publication: Physical Review Letters
publication_identifier:
eissn:
- 1079-7114
issn:
- 0031-9007
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
status: public
title: Quantum delocalization of a levitated nanoparticle
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 135
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '21321'
abstract:
- lang: eng
text: 'The development of cost-effective and high-performance thermoelectric (TE)
materials faces significant challenges, particularly in improving the properties
of promising copper-based TE materials such as Cu3SbSe4, which are limited by
their poor electrical conductivity. This study presents a detailed comparative
analysis of three strategies to promote the electrical transport properties of
Cu3SbSe4 through Sn doping: conventional Sn atomic doping, surface treatment with
SnSe molecular complexes, and blending with SnSe nanocrystals to form nanocomposites,
all followed by annealing and hot pressing under identical conditions. Our results
reveal that a surface treatment using SnSe molecular complexes significantly enhances
TE performance over atomic doping and nanocomposite formation, achieving a power
factor of 1.1 mW·m−1·K−2 and a maximum dimensionless figure of merit zT value
of 0.80 at 640 K, representing an excellent performance among Cu3SbSe4-based materials
produced via solution-processing methods. This work highlights the effectiveness
of surface engineering in optimizing the transport properties of nanostructured
materials, demonstrating the versatility and cost-efficiency of solution-based
technologies in the development of advanced nanostructured materials for application
in the field of TE among others.'
acknowledgement: Y. L. acknowledges funding from the National Natural Science Foundation
of China (No. 22209034), the Innovation and Entrepreneurship Project of Overseas
Returnees in Anhui Province (No. 2022LCX002), and the Fundamental Research Funds
for the Central Universities (No. JZ2024HGTB0239). K. H. L. acknowledges financial
support from the National Natural Science Foundation of China (No. 22208293). M.
I. acknowledge financial support from ISTA and the Werner Siemens Foundation. M.
H. acknowledges funding from Australian Research Council (No. FT230100316). L. L.
H. and S. H. W. acknowledge the Fundamental Research Funds for the Central Universities
(Nos. JZ2023HGTA0179 and JZ2024HGTA0170).
article_number: '94907072'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Shanshan
full_name: Xiao, Shanshan
last_name: Xiao
- first_name: Mingjun
full_name: Zhao, Mingjun
last_name: Zhao
- first_name: Mingquan
full_name: Li, Mingquan
last_name: Li
- first_name: Shanhong
full_name: Wan, Shanhong
last_name: Wan
- first_name: Aziz
full_name: Genç, Aziz
last_name: Genç
- first_name: Lulu
full_name: Huang, Lulu
last_name: Huang
- first_name: Lei
full_name: Chen, Lei
last_name: Chen
- first_name: Yu
full_name: Zhang, Yu
last_name: Zhang
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Khak Ho
full_name: Lim, Khak Ho
last_name: Lim
- first_name: Min
full_name: Hong, Min
last_name: Hong
- first_name: Yu
full_name: Liu, Yu
last_name: Liu
- first_name: Andreu
full_name: Cabot, Andreu
last_name: Cabot
citation:
ama: 'Xiao S, Zhao M, Li M, et al. Band and defect engineering in solution-processed
nanocrystal building blocks to promote transport properties in nanomaterials:
The case of thermoelectric Cu 3SbSe 4.
Nano Research. 2025;18(1). doi:10.26599/nr.2025.94907072'
apa: 'Xiao, S., Zhao, M., Li, M., Wan, S., Genç, A., Huang, L., … Cabot, A. (2025).
Band and defect engineering in solution-processed nanocrystal building blocks
to promote transport properties in nanomaterials: The case of thermoelectric Cu
3SbSe 4. Nano Research. Tsinghua
University Press. https://doi.org/10.26599/nr.2025.94907072'
chicago: 'Xiao, Shanshan, Mingjun Zhao, Mingquan Li, Shanhong Wan, Aziz Genç, Lulu
Huang, Lei Chen, et al. “Band and Defect Engineering in Solution-Processed Nanocrystal
Building Blocks to Promote Transport Properties in Nanomaterials: The Case of
Thermoelectric Cu 3SbSe 4.” Nano
Research. Tsinghua University Press, 2025. https://doi.org/10.26599/nr.2025.94907072.'
ieee: 'S. Xiao et al., “Band and defect engineering in solution-processed
nanocrystal building blocks to promote transport properties in nanomaterials:
The case of thermoelectric Cu 3SbSe 4,”
Nano Research, vol. 18, no. 1. Tsinghua University Press, 2025.'
ista: 'Xiao S, Zhao M, Li M, Wan S, Genç A, Huang L, Chen L, Zhang Y, Ibáñez M,
Lim KH, Hong M, Liu Y, Cabot A. 2025. Band and defect engineering in solution-processed
nanocrystal building blocks to promote transport properties in nanomaterials:
The case of thermoelectric Cu 3SbSe 4.
Nano Research. 18(1), 94907072.'
mla: 'Xiao, Shanshan, et al. “Band and Defect Engineering in Solution-Processed
Nanocrystal Building Blocks to Promote Transport Properties in Nanomaterials:
The Case of Thermoelectric Cu 3SbSe 4.”
Nano Research, vol. 18, no. 1, 94907072, Tsinghua University Press, 2025,
doi:10.26599/nr.2025.94907072.'
short: S. Xiao, M. Zhao, M. Li, S. Wan, A. Genç, L. Huang, L. Chen, Y. Zhang, M.
Ibáñez, K.H. Lim, M. Hong, Y. Liu, A. Cabot, Nano Research 18 (2025).
date_created: 2026-02-18T10:45:06Z
date_published: 2025-01-01T00:00:00Z
date_updated: 2026-02-19T07:32:22Z
day: '01'
ddc:
- '540'
department:
- _id: MaIb
doi: 10.26599/nr.2025.94907072
file:
- access_level: open_access
checksum: aa531f1363538fece12ecfad83456b65
content_type: application/pdf
creator: dernst
date_created: 2026-02-19T07:31:15Z
date_updated: 2026-02-19T07:31:15Z
file_id: '21330'
file_name: 2025_NanoResearch_Xiao.pdf
file_size: 27740524
relation: main_file
success: 1
file_date_updated: 2026-02-19T07:31:15Z
fulldoi: https://doi.org/10.26599/nr.2025.94907072
has_accepted_license: '1'
intvolume: ' 18'
issue: '1'
language:
- iso: eng
month: '01'
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: Nano Research
publication_identifier:
eissn:
- 1998-0000
issn:
- 1998-0124
publication_status: published
publisher: Tsinghua University Press
status: public
title: 'Band and defect engineering in solution-processed nanocrystal building blocks
to promote transport properties in nanomaterials: The case of thermoelectric Cu 3SbSe 4'
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: 18
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '21322'
abstract:
- lang: eng
text: Habitat fragmentation poses a significant risk to population survival, causing
both demographic stochasticity and genetic drift within local populations to increase,
thereby increasing genetic load. Higher load causes population numbers to decline,
which reduces the efficiency of selection and further increases load, resulting
in a positive feedback that may drive entire populations to extinction. Here,
we investigate this eco-evolutionary feedback in a metapopulation consisting of
local demes connected via migration, with individuals subject to deleterious mutation
at a large number of loci. We first analyze the determinants of load under soft
selection, where population sizes are fixed, and then build on this to understand
hard selection, where population sizes and load coevolve. We show that under soft
selection, very little gene flow (less than one migrant per generation) is enough
to prevent fixation of deleterious alleles. By contrast, much higher levels of
migration are required to mitigate load and prevent extinction when selection
is hard, with critical migration thresholds for metapopulation persistence increasing
sharply as the genome-wide deleterious mutation rate becomes comparable to the
baseline population growth rate. Moreover, critical migration thresholds are highest
if deleterious mutations have intermediate selection coefficients but lower if
alleles are predominantly recessive rather than additive (due to more efficient
purging of recessive load within local populations). Our analysis is based on
a combination of analytical approximations and simulations, allowing for a more
comprehensive understanding of the factors influencing load and extinction in
fragmented populations.
acknowledgement: 'This research was partially funded by the Austrian Science Fund
(FWF P-32896B) and DOC Fellowships of the Austrian Academy of Sciences: grants 26380
(O.O.) and 26293 (K.K.). We thank Nick Barton for useful comments on the chapter
in O.O.’s thesis that led to this article.'
article_processing_charge: No
article_type: original
author:
- first_name: Oluwafunmilola O
full_name: Olusanya, Oluwafunmilola O
id: 41AD96DC-F248-11E8-B48F-1D18A9856A87
last_name: Olusanya
orcid: 0000-0003-1971-8314
- first_name: Kseniia
full_name: Khudiakova, Kseniia
id: 4E6DC800-AE37-11E9-AC72-31CAE5697425
last_name: Khudiakova
orcid: 0000-0002-6246-1465
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
citation:
ama: Olusanya OO, Khudiakova K, Sachdeva H. Genetic load, eco-evolutionary feedback,
and extinction in metapopulations. The American Naturalist. 2025;205(6):617-636.
doi:10.1086/735562
apa: Olusanya, O. O., Khudiakova, K., & Sachdeva, H. (2025). Genetic load, eco-evolutionary
feedback, and extinction in metapopulations. The American Naturalist. University
of Chicago Press. https://doi.org/10.1086/735562
chicago: Olusanya, Oluwafunmilola O, Kseniia Khudiakova, and Himani Sachdeva. “Genetic
Load, Eco-Evolutionary Feedback, and Extinction in Metapopulations.” The American
Naturalist. University of Chicago Press, 2025. https://doi.org/10.1086/735562.
ieee: O. O. Olusanya, K. Khudiakova, and H. Sachdeva, “Genetic load, eco-evolutionary
feedback, and extinction in metapopulations,” The American Naturalist,
vol. 205, no. 6. University of Chicago Press, pp. 617–636, 2025.
ista: Olusanya OO, Khudiakova K, Sachdeva H. 2025. Genetic load, eco-evolutionary
feedback, and extinction in metapopulations. The American Naturalist. 205(6),
617–636.
mla: Olusanya, Oluwafunmilola O., et al. “Genetic Load, Eco-Evolutionary Feedback,
and Extinction in Metapopulations.” The American Naturalist, vol. 205,
no. 6, University of Chicago Press, 2025, pp. 617–36, doi:10.1086/735562.
short: O.O. Olusanya, K. Khudiakova, H. Sachdeva, The American Naturalist 205 (2025)
617–636.
corr_author: '1'
date_created: 2026-02-18T10:47:18Z
date_published: 2025-06-01T00:00:00Z
date_updated: 2026-04-07T08:45:14Z
day: '01'
department:
- _id: JaMa
- _id: NiBa
doi: 10.1086/735562
external_id:
pmid:
- '40446297 '
fulldoi: https://doi.org/10.1086/735562
intvolume: ' 205'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2023.12.02.569702
month: '06'
oa: 1
oa_version: Preprint
page: 617-636
pmid: 1
project:
- _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8
grant_number: P32896
name: Causes and consequences of population fragmentation
- _id: 34c872fe-11ca-11ed-8bc3-8534b82131e6
grant_number: '26380'
name: Polygenic Adaptation in a Metapopulation
- _id: 34d33d68-11ca-11ed-8bc3-ec13763c0ca8
grant_number: '26293'
name: The impact of deleterious mutations on small populations
publication: The American Naturalist
publication_identifier:
eissn:
- 1537-5323
issn:
- 0003-0147
publication_status: published
publisher: University of Chicago Press
quality_controlled: '1'
related_material:
record:
- id: '14732'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Genetic load, eco-evolutionary feedback, and extinction in metapopulations
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 205
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '21323'
abstract:
- lang: eng
text: We present a unifying framework for proving the knowledge-soundness of KZG-like
polynomial commitment schemes, encompassing both univariate and multivariate variants.
By conceptualizing the proof technique of Lipmaa, Parisella, and Siim for the
univariate KZG scheme (EUROCRYPT 2024), we present tools and falsifiable hardness
assumptions that permit black-box extraction of the multivariate KZG scheme. Central
to our approach is the notion of a canonical Proof-of-Knowledge of a Polynomial
(PoKoP) of a polynomial commitment scheme, which we use to capture the extractability
notion required in constructions of practical zk-SNARKs. We further present an
explicit polynomial decomposition lemma for multivariate polynomials, enabling
a more direct analysis of interpolating extractors and bridging the gap between
univariate and multivariate commitments. Our results provide the first standard-model
proofs of extractability for the multivariate KZG scheme and many of its variants
under falsifiable assumptions.
acknowledgement: Juraj Belohorec, Pavel Hubáček, and Kristýna Mašková were partially
supported by the Academy of Sciences of the Czech Republic (RVO 67985840), Czech
Science Foundation GAČR grant No. 25-16311S, and by Zircuit. Pavel Dvořák was supported
by Czech Science Foundation GAČR grant No. 22-14872O. Juraj Belohorec and Kristýna
Mašková were supported by the grant SVV–2025–260822.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Juraj
full_name: Belohorec, Juraj
last_name: Belohorec
- first_name: Pavel
full_name: Dvořák, Pavel
last_name: Dvořák
- first_name: Charlotte
full_name: Hoffmann, Charlotte
id: 0f78d746-dc7d-11ea-9b2f-83f92091afe7
last_name: Hoffmann
orcid: 0000-0003-2027-5549
- first_name: Pavel
full_name: Hubáček, Pavel
last_name: Hubáček
- first_name: Kristýna
full_name: Mašková, Kristýna
last_name: Mašková
- first_name: Martin
full_name: Pastyřík, Martin
last_name: Pastyřík
citation:
ama: 'Belohorec J, Dvořák P, Hoffmann C, Hubáček P, Mašková K, Pastyřík M. On extractability
of the KZG family of polynomial commitment schemes. In: 45th Annual International
Cryptology Conference. Vol 16005. Springer Nature; 2025:584-616. doi:10.1007/978-3-032-01887-8_19'
apa: 'Belohorec, J., Dvořák, P., Hoffmann, C., Hubáček, P., Mašková, K., & Pastyřík,
M. (2025). On extractability of the KZG family of polynomial commitment schemes.
In 45th Annual International Cryptology Conference (Vol. 16005, pp. 584–616).
Santa Barbara, CA, United States: Springer Nature. https://doi.org/10.1007/978-3-032-01887-8_19'
chicago: Belohorec, Juraj, Pavel Dvořák, Charlotte Hoffmann, Pavel Hubáček, Kristýna
Mašková, and Martin Pastyřík. “On Extractability of the KZG Family of Polynomial
Commitment Schemes.” In 45th Annual International Cryptology Conference,
16005:584–616. Springer Nature, 2025. https://doi.org/10.1007/978-3-032-01887-8_19.
ieee: J. Belohorec, P. Dvořák, C. Hoffmann, P. Hubáček, K. Mašková, and M. Pastyřík,
“On extractability of the KZG family of polynomial commitment schemes,” in 45th
Annual International Cryptology Conference, Santa Barbara, CA, United States,
2025, vol. 16005, pp. 584–616.
ista: 'Belohorec J, Dvořák P, Hoffmann C, Hubáček P, Mašková K, Pastyřík M. 2025.
On extractability of the KZG family of polynomial commitment schemes. 45th Annual
International Cryptology Conference. CRYPTO: International Cryptology Conference,
LNCS, vol. 16005, 584–616.'
mla: Belohorec, Juraj, et al. “On Extractability of the KZG Family of Polynomial
Commitment Schemes.” 45th Annual International Cryptology Conference, vol.
16005, Springer Nature, 2025, pp. 584–616, doi:10.1007/978-3-032-01887-8_19.
short: J. Belohorec, P. Dvořák, C. Hoffmann, P. Hubáček, K. Mašková, M. Pastyřík,
in:, 45th Annual International Cryptology Conference, Springer Nature, 2025, pp.
584–616.
conference:
end_date: 2025-08-221
location: Santa Barbara, CA, United States
name: 'CRYPTO: International Cryptology Conference'
start_date: 2025-08-17
date_created: 2026-02-18T10:59:58Z
date_published: 2025-08-17T00:00:00Z
date_updated: 2026-02-19T07:50:33Z
day: '17'
department:
- _id: KrPi
doi: 10.1007/978-3-032-01887-8_19
fulldoi: https://doi.org/10.1007/978-3-032-01887-8_19
intvolume: ' 16005'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2025/514
month: '08'
oa: 1
oa_version: Preprint
page: 584-616
publication: 45th Annual International Cryptology Conference
publication_identifier:
eisbn:
- '9783032018878'
eissn:
- 1611-3349
isbn:
- '9783032018861'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: On extractability of the KZG family of polynomial commitment schemes
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 16005
year: '2025'
...
---
OA_place: publisher
OA_type: gold
_id: '21325'
abstract:
- lang: eng
text: Test-time training (TTT) methods explicitly update the weights of a model
to adapt to the specific test instance, and they have found success in a variety
of settings, including most recently language modeling and reasoning. To demystify
this success, we investigate a gradient-based TTT algorithm for in-context learning,
where we train a transformer model on the in-context demonstrations provided in
the test prompt. Specifically, we provide a comprehensive theoretical characterization
of linear transformers when the update rule is a single gradient step. Our theory
(i) delineates the role of alignment between pretraining distribution and target
task, (ii) demystifies how TTT can alleviate distribution shift, and (iii) quantifies
the sample complexity of TTT including how it can significantly reduce the eventual
sample size required for in-context learning. As our empirical contribution, we
study the benefits of TTT for TabPFN, a tabular foundation model. In line with
our theory, we demonstrate that TTT significantly reduces the required sample
size for tabular classification (3 to 5 times fewer) unlocking substantial inference
efficiency with a negligible training cost.
acknowledgement: "H.A.G., M.E.I., X.Z., and S.O. were supported in part by the NSF
grants CCF2046816, CCF-2403075, CCF-2008020, and the Office of Naval Research grant
N000142412289.\r\nM. M. is funded by the European Union (ERC, INF2 , project number
101161364). Views and opinions expressed are, however, those of the author(s) only
and do not necessarily\r\nreflect those of the European Union or the European Research
Council Executive Agency. Neither the European Union nor the granting authority
can be held responsible for them. M.S. is supported by the Packard Fellowship in
Science and Engineering, a Sloan Research Fellowship in Mathematics, an NSF-CAREER
under award #1846369, DARPA FastNICS program, and NSF-CIF awards #1813877 and #2008443,
and NIH DP2LM014564-01. The authors also\r\nacknowledge further support from Open
Philanthropy, OpenAI, Amazon Research, Google Research, and Microsoft Research."
alternative_title:
- PMLR
article_processing_charge: No
author:
- first_name: Halil Alperen
full_name: Gozeten, Halil Alperen
last_name: Gozeten
- first_name: Muhammed Emrullah
full_name: Ildiz, Muhammed Emrullah
last_name: Ildiz
- first_name: Xuechen
full_name: Zhang, Xuechen
last_name: Zhang
- first_name: Mahdi
full_name: Soltanolkotabi, Mahdi
last_name: Soltanolkotabi
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
- first_name: Samet
full_name: Oymak, Samet
last_name: Oymak
citation:
ama: 'Gozeten HA, Ildiz ME, Zhang X, Soltanolkotabi M, Mondelli M, Oymak S. Test-time
training provably improves transformers as in-context learners. In: Proceedings
of the 42nd International Conference on Machine Learning. Vol 267. ML Research
Press; 2025:20266-20295.'
apa: 'Gozeten, H. A., Ildiz, M. E., Zhang, X., Soltanolkotabi, M., Mondelli, M.,
& Oymak, S. (2025). Test-time training provably improves transformers as in-context
learners. In Proceedings of the 42nd International Conference on Machine Learning
(Vol. 267, pp. 20266–20295). Vancouver, Canada: ML Research Press.'
chicago: Gozeten, Halil Alperen, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi,
Marco Mondelli, and Samet Oymak. “Test-Time Training Provably Improves Transformers
as in-Context Learners.” In Proceedings of the 42nd International Conference
on Machine Learning, 267:20266–95. ML Research Press, 2025.
ieee: H. A. Gozeten, M. E. Ildiz, X. Zhang, M. Soltanolkotabi, M. Mondelli, and
S. Oymak, “Test-time training provably improves transformers as in-context learners,”
in Proceedings of the 42nd International Conference on Machine Learning,
Vancouver, Canada, 2025, vol. 267, pp. 20266–20295.
ista: 'Gozeten HA, Ildiz ME, Zhang X, Soltanolkotabi M, Mondelli M, Oymak S. 2025.
Test-time training provably improves transformers as in-context learners. Proceedings
of the 42nd International Conference on Machine Learning. ICML: International
Conference on Machine Learning, PMLR, vol. 267, 20266–20295.'
mla: Gozeten, Halil Alperen, et al. “Test-Time Training Provably Improves Transformers
as in-Context Learners.” Proceedings of the 42nd International Conference on
Machine Learning, vol. 267, ML Research Press, 2025, pp. 20266–95.
short: H.A. Gozeten, M.E. Ildiz, X. Zhang, M. Soltanolkotabi, M. Mondelli, S. Oymak,
in:, Proceedings of the 42nd International Conference on Machine Learning, ML
Research Press, 2025, pp. 20266–20295.
conference:
end_date: 2025-07-19
location: Vancouver, Canada
name: 'ICML: International Conference on Machine Learning'
start_date: 2025-07-13
date_created: 2026-02-18T12:00:44Z
date_published: 2025-11-30T00:00:00Z
date_updated: 2026-02-19T08:18:24Z
day: '30'
ddc:
- '000'
department:
- _id: MaMo
external_id:
pmid:
- '41321376'
file:
- access_level: open_access
checksum: f774f8619a0d72f3975d9cb23942a1e9
content_type: application/pdf
creator: dernst
date_created: 2026-02-19T08:15:48Z
date_updated: 2026-02-19T08:15:48Z
file_id: '21336'
file_name: 2025_ICML_Gozeten.pdf
file_size: 471176
relation: main_file
success: 1
file_date_updated: 2026-02-19T08:15:48Z
has_accepted_license: '1'
intvolume: ' 267'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: 20266-20295
pmid: 1
project:
- _id: 911e6d1f-16d5-11f0-9cad-c5c68c6a1cdf
grant_number: '101161364'
name: 'Inference in High Dimensions: Light-speed Algorithms and Information Limits'
publication: Proceedings of the 42nd International Conference on Machine Learning
publication_identifier:
eissn:
- 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
status: public
title: Test-time training provably improves transformers as in-context learners
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: 267
year: '2025'
...
---
OA_place: publisher
OA_type: gold
_id: '21327'
abstract:
- lang: eng
text: Proteins exist as a dynamic ensemble of multiple conformations, and these
motions are often crucial for their functions. However, current structure prediction
methods predominantly yield a single conformation, overlooking the conformational
heterogeneity revealed by diverse experimental modalities. Here, we present a
framework for building experiment-grounded protein structure generative models
that infer conformational ensembles consistent with measured experimental data.
The key idea is to treat stateof-the-art protein structure predictors (e.g., AlphaFold3)
as sequence-conditioned structural priors, and cast ensemble modeling as posterior
inference of protein structures given experimental measurements. Through extensive
real-data experiments, we demonstrate the generality of our method to incorporate
a variety of experimental measurements. In particular, our framework uncovers
previously unmodeled conformational heterogeneity from crystallographic densities,
and generates high-accuracy NMR ensembles orders of magnitude faster than the
status quo. Notably, we demonstrate that our ensembles outperform AlphaFold3 (Abramson
et al., 2024) and sometimes better fit experimental data than publicly deposited
structures to the Protein Data Bank (PDB, Burley et al. (2017)). We believe that
this approach will unlock building predictive models that fully embrace experimentally
observed conformational diversity.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: 'This work was supported by the Israeli Science Foundation (ISF)
grant number 1834/24. We acknowledge support from the Austrian Science Fund (FWF,
grant numbers I5812-B and I6223) and the financial support of the Helmsley Fellowships
Program for Sustainability and Health. This research uses resources of the Institute
of Science and Technology Austria’s scientific computing cluster. '
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Sai A
full_name: Maddipatla, Sai A
id: e957f5e5-91c9-11f0-a95f-e090f66ecb4d
last_name: Maddipatla
- first_name: Nadav E
full_name: Sellam, Nadav E
id: ef280fe0-91c9-11f0-a95f-8dea3f5bc513
last_name: Sellam
- first_name: Meital I
full_name: Bojan, Meital I
id: 11d88cf5-91ca-11f0-a95f-edf9f08f47b7
last_name: Bojan
- first_name: Sanketh
full_name: Vedula, Sanketh
id: 94f2fe44-70fa-11f0-b76b-92922c09452b
last_name: Vedula
- first_name: Paul
full_name: Schanda, Paul
id: 7B541462-FAF6-11E9-A490-E8DFE5697425
last_name: Schanda
orcid: 0000-0002-9350-7606
- 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: 'Maddipatla SA, Sellam NE, Bojan MI, et al. Inverse problems with experiment-guided
AlphaFold. In: Proceedings of the 42nd International Conference on Machine
Learning. Vol 267. ML Research Press; 2025:42366-42393.'
apa: 'Maddipatla, S. A., Sellam, N. E., Bojan, M. I., Vedula, S., Schanda, P., Marx,
A., & Bronstein, A. M. (2025). Inverse problems with experiment-guided AlphaFold.
In Proceedings of the 42nd International Conference on Machine Learning
(Vol. 267, pp. 42366–42393). Vancouver, Canada: ML Research Press.'
chicago: Maddipatla, Sai A, Nadav E Sellam, Meital I Bojan, Sanketh Vedula, Paul
Schanda, Ailie Marx, and Alex M. Bronstein. “Inverse Problems with Experiment-Guided
AlphaFold.” In Proceedings of the 42nd International Conference on Machine
Learning, 267:42366–93. ML Research Press, 2025.
ieee: S. A. Maddipatla et al., “Inverse problems with experiment-guided AlphaFold,”
in Proceedings of the 42nd International Conference on Machine Learning,
Vancouver, Canada, 2025, vol. 267, pp. 42366–42393.
ista: 'Maddipatla SA, Sellam NE, Bojan MI, Vedula S, Schanda P, Marx A, Bronstein
AM. 2025. Inverse problems with experiment-guided AlphaFold. Proceedings of the
42nd International Conference on Machine Learning. ICML: International Conference
on Machine Learning, PMLR, vol. 267, 42366–42393.'
mla: Maddipatla, Sai A., et al. “Inverse Problems with Experiment-Guided AlphaFold.”
Proceedings of the 42nd International Conference on Machine Learning, vol.
267, ML Research Press, 2025, pp. 42366–93.
short: S.A. Maddipatla, N.E. Sellam, M.I. Bojan, S. Vedula, P. Schanda, A. Marx,
A.M. Bronstein, in:, Proceedings of the 42nd International Conference on Machine
Learning, ML Research Press, 2025, pp. 42366–42393.
conference:
end_date: 2025-07-19
location: Vancouver, Canada
name: 'ICML: International Conference on Machine Learning'
start_date: 2025-07-13
corr_author: '1'
date_created: 2026-02-18T12:11:17Z
date_published: 2025-07-30T00:00:00Z
date_updated: 2026-02-19T08:56:43Z
day: '30'
ddc:
- '000'
- '540'
department:
- _id: PaSc
- _id: AlBr
- _id: GradSch
external_id:
arxiv:
- '2502.09372'
file:
- access_level: open_access
checksum: f33230a6d59b7978d4cd72795e4e9059
content_type: application/pdf
creator: dernst
date_created: 2026-02-19T08:56:10Z
date_updated: 2026-02-19T08:56:10Z
file_id: '21338'
file_name: 2025_ICML_Maddipatla.pdf
file_size: 1924177
relation: main_file
success: 1
file_date_updated: 2026-02-19T08:56:10Z
has_accepted_license: '1'
intvolume: ' 267'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 42366 - 42393
project:
- _id: eb9c82eb-77a9-11ec-83b8-aadd536561cf
grant_number: I05812
name: AlloSpace. The emergence and mechanisms of allostery
- _id: bdb9578d-d553-11ed-ba76-ed5d39fce6f0
grant_number: I06223
name: Structure and mechanism of the mitochondrial MIM insertase
publication: Proceedings of the 42nd International Conference on Machine Learning
publication_identifier:
eissn:
- 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
status: public
title: Inverse problems with experiment-guided AlphaFold
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: 267
year: '2025'
...
---
OA_place: publisher
OA_type: gold
_id: '21328'
abstract:
- lang: eng
text: Multi-index models provide a popular framework to investigate the learnability
of functions with low-dimensional structure and, also due to their connections
with neural networks, they have been object of recent intensive study. In this
paper, we focus on recovering the subspace spanned by the signals via spectral
estimators – a family of methods routinely used in practice, often as a warm-start
for iterative algorithms. Our main technical contribution is a precise asymptotic
characterization of the performance of spectral methods, when sample size and
input dimension grow proportionally and the dimension p of the space to recover
is fixed. Specifically, we locate the top-p eigenvalues of the spectral matrix
and establish the overlaps between the corresponding eigenvectors (which give
the spectral estimators) and a basis of the signal subspace. Our analysis unveils
a phase transition phenomenon in which, as the sample complexity grows, eigenvalues
escape from the bulk of the spectrum and, when that happens, eigenvectors recover
directions of the desired subspace. The precise characterization we put forward
enables the optimization of the data preprocessing, thus allowing to identify
the spectral estimator that requires the minimal sample size for weak recovery.
acknowledgement: "This work was done when Y. Z. was at the Institute of Science and
Technology Austria. Y. Z. and\r\nM. M. are funded by the European Union (ERC, INF2,
project number 101161364). Views and\r\nopinions expressed are however those of
the author(s) only and do not necessarily reflect those of the European Union or
the European Research Council Executive Agency. Neither the European Union nor the
granting authority can be held responsible for them. The authors would like to acknowledge
(in alphabetical order) discussions with Yatin Dandi, Leonardo Defilippis and Bruno
Loureiro concerning their parallel work (Defilippis et al., 2025)."
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Filip
full_name: Kovačević, Filip
id: d0258e7b-50b8-11ef-ad56-8b9f537b6b1b
last_name: Kovačević
- first_name: Zhang
full_name: Yihan, Zhang
last_name: Yihan
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
citation:
ama: 'Kovačević F, Yihan Z, Mondelli M. Spectral estimators for multi-index models:
Precise asymptotics and optimal weak recovery. In: Proceedings of 38th Conference
on Learning Theory. Vol 291. ML Research Press; 2025:3354-3404.'
apa: 'Kovačević, F., Yihan, Z., & Mondelli, M. (2025). Spectral estimators for
multi-index models: Precise asymptotics and optimal weak recovery. In Proceedings
of 38th Conference on Learning Theory (Vol. 291, pp. 3354–3404). Lyon, France:
ML Research Press.'
chicago: 'Kovačević, Filip, Zhang Yihan, and Marco Mondelli. “Spectral Estimators
for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery.” In Proceedings
of 38th Conference on Learning Theory, 291:3354–3404. ML Research Press, 2025.'
ieee: 'F. Kovačević, Z. Yihan, and M. Mondelli, “Spectral estimators for multi-index
models: Precise asymptotics and optimal weak recovery,” in Proceedings of 38th
Conference on Learning Theory, Lyon, France, 2025, vol. 291, pp. 3354–3404.'
ista: 'Kovačević F, Yihan Z, Mondelli M. 2025. Spectral estimators for multi-index
models: Precise asymptotics and optimal weak recovery. Proceedings of 38th Conference
on Learning Theory. COLT: Conference on Learning Theory, PMLR, vol. 291, 3354–3404.'
mla: 'Kovačević, Filip, et al. “Spectral Estimators for Multi-Index Models: Precise
Asymptotics and Optimal Weak Recovery.” Proceedings of 38th Conference on Learning
Theory, vol. 291, ML Research Press, 2025, pp. 3354–404.'
short: F. Kovačević, Z. Yihan, M. Mondelli, in:, Proceedings of 38th Conference
on Learning Theory, ML Research Press, 2025, pp. 3354–3404.
conference:
end_date: 2025-07-04
location: Lyon, France
name: 'COLT: Conference on Learning Theory'
start_date: 2025-06-30
corr_author: '1'
date_created: 2026-02-18T12:12:47Z
date_published: 2025-07-01T00:00:00Z
date_updated: 2026-02-19T09:03:53Z
day: '01'
ddc:
- '000'
department:
- _id: MaMo
external_id:
arxiv:
- '2502.01583'
file:
- access_level: open_access
checksum: 19aa70ab4f57fb9067b6ebb99a5fd6f0
content_type: application/pdf
creator: dernst
date_created: 2026-02-19T09:03:43Z
date_updated: 2026-02-19T09:03:43Z
file_id: '21339'
file_name: 2025_LearningTheory_Kovacevic.pdf
file_size: 844611
relation: main_file
success: 1
file_date_updated: 2026-02-19T09:03:43Z
has_accepted_license: '1'
intvolume: ' 291'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 3354-3404
project:
- _id: 911e6d1f-16d5-11f0-9cad-c5c68c6a1cdf
grant_number: '101161364'
name: 'Inference in High Dimensions: Light-speed Algorithms and Information Limits'
publication: Proceedings of 38th Conference on Learning Theory
publication_identifier:
eissn:
- 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Spectral estimators for multi-index models: Precise asymptotics and optimal
weak recovery'
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: 291
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21413'
abstract:
- lang: eng
text: "We present a general framework for applying learning algorithms and heuristical
guidance to the verification of Markov decision processes (MDPs).\r\nThe primary
goal of our techniques is to improve performance by avoiding an exhaustive exploration
of the state space, instead focussing on particularly relevant areas of the system,
guided by heuristics. Our work builds on the previous results of Br{á}zdil et
al., significantly extending it as well as refining several details and fixing
errors.\r\nThe presented framework focuses on probabilistic reachability, which
is a core problem in verification, and is instantiated in two distinct scenarios.\r\nThe
first assumes that full knowledge of the MDP is available, in particular precise
transition probabilities. It performs a heuristic-driven partial exploration of
the model, yielding precise lower and upper bounds on the required probability.
The second tackles the case where we may only sample the MDP without knowing the
exact transition dynamics. Here, we obtain probabilistic guarantees, again in
terms of both the lower and upper bounds, which provides efficient stopping criteria
for the approximation. In particular, the latter is an extension of statistical
model-checking (SMC) for unbounded properties in MDPs. In contrast to other related
approaches, we do not restrict our attention to time-bounded (finite-horizon)
or discounted properties, nor assume any particular structural properties of the
MDP."
acknowledgement: "This research was funded in part by the European Research Council
(ERC) under grant agreement AdG-267989 (QUAREM)*, AdG-246967 (VERIWARE)*, StG-279307
(Graph Games)*\r\n, CoG-863818 (ForM-SMArt), and AdG-834115 (FUN2MODEL), by the
EU FP7 project HIERATIC*, by the German Research Foundation (DFG) project 427755713
(GOPro), by the Austrian Science Fund (FWF) projects S11402-N23 (RiSE)* , S11407-N23
(RiSE)*\r\n, and P23499-N23* , by the Czech Science Foundation grant No P202/12/P612*
and GA23-06963S, by the MUNI Award in Science and Humanities (MUNI/I/1757/2021)
of the Grant\r\nAgency of Masaryk University, by EPSRC project EP/K038575/1*, and
by the Microsoft faculty fellows award*. A preliminary version of this article appeared
at ATVA 2014 [33]. The * indicates funding that supported that version."
article_number: '10'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Tomáš
full_name: Brázdil, Tomáš
last_name: Brázdil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Chmelik, Martin
id: 3624234E-F248-11E8-B48F-1D18A9856A87
last_name: Chmelik
- first_name: Vojtěch
full_name: Forejt, Vojtěch
last_name: Forejt
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Marta
full_name: Kwiatkowska, Marta
last_name: Kwiatkowska
- first_name: Tobias
full_name: Meggendorfer, Tobias
id: b21b0c15-30a2-11eb-80dc-f13ca25802e1
last_name: Meggendorfer
orcid: 0000-0002-1712-2165
- first_name: David
full_name: Parker, David
last_name: Parker
- first_name: Mateusz
full_name: Ujma, Mateusz
last_name: Ujma
citation:
ama: Brázdil T, Chatterjee K, Chmelik M, et al. Learning algorithms for verification
of Markov decision processes. TheoretiCS. 2025;4. doi:10.46298/theoretics.25.10
apa: Brázdil, T., Chatterjee, K., Chmelik, M., Forejt, V., Kretinsky, J., Kwiatkowska,
M., … Ujma, M. (2025). Learning algorithms for verification of Markov decision
processes. TheoretiCS. TheoretiCS Foundation. https://doi.org/10.46298/theoretics.25.10
chicago: Brázdil, Tomáš, Krishnendu Chatterjee, Martin Chmelik, Vojtěch Forejt,
Jan Kretinsky, Marta Kwiatkowska, Tobias Meggendorfer, David Parker, and Mateusz
Ujma. “Learning Algorithms for Verification of Markov Decision Processes.” TheoretiCS.
TheoretiCS Foundation, 2025. https://doi.org/10.46298/theoretics.25.10.
ieee: T. Brázdil et al., “Learning algorithms for verification of Markov
decision processes,” TheoretiCS, vol. 4. TheoretiCS Foundation, 2025.
ista: Brázdil T, Chatterjee K, Chmelik M, Forejt V, Kretinsky J, Kwiatkowska M,
Meggendorfer T, Parker D, Ujma M. 2025. Learning algorithms for verification of
Markov decision processes. TheoretiCS. 4, 10.
mla: Brázdil, Tomáš, et al. “Learning Algorithms for Verification of Markov Decision
Processes.” TheoretiCS, vol. 4, 10, TheoretiCS Foundation, 2025, doi:10.46298/theoretics.25.10.
short: T. Brázdil, K. Chatterjee, M. Chmelik, V. Forejt, J. Kretinsky, M. Kwiatkowska,
T. Meggendorfer, D. Parker, M. Ujma, TheoretiCS 4 (2025).
date_created: 2026-03-08T23:01:46Z
date_published: 2025-04-01T00:00:00Z
date_updated: 2026-03-09T11:43:38Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.46298/theoretics.25.10
ec_funded: 1
external_id:
arxiv:
- '2403.09184'
file:
- access_level: open_access
checksum: 2ccf563ae577ee08d82baf752292ca7b
content_type: application/pdf
creator: dernst
date_created: 2026-03-09T11:39:59Z
date_updated: 2026-03-09T11:39:59Z
file_id: '21417'
file_name: 2026_TheoretiCS_Brazdil.pdf
file_size: 861607
relation: main_file
success: 1
file_date_updated: 2026-03-09T11:39:59Z
fulldoi: https://doi.org/10.46298/theoretics.25.10
has_accepted_license: '1'
intvolume: ' 4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
call_identifier: H2020
grant_number: '863818'
name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 25F2ACDE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Rigorous Systems Engineering
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
publication: TheoretiCS
publication_identifier:
eissn:
- 2751-4838
publication_status: published
publisher: TheoretiCS Foundation
quality_controlled: '1'
scopus_import: '1'
status: public
title: Learning algorithms for verification of 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: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '21435'
abstract:
- lang: eng
text: Multiferroic materials, in which electric polarization and magnetic order
coexist and couple, offer rich opportunities for both fundamental discovery and
technology. However, multiferroicity remains rare due to conflicting electronic
requirements for ferroelectricity and magnetism. One route to circumvent this
challenge is to exploit the noncollinear ordering of spin cycloids, whose symmetry
permits the emergence of polar order. In this work, we introduce another pathway
to multiferroic order in which strain generates polarization in materials that
host nonpolar spin spirals. To demonstrate this phenomenon, we chose the spin
spiral in the well-studied helimagnet Cr1/3NbS2. To detect the induced polarization,
we introduce the technique of magnetoelectric birefringence (MEB), an optical
probe that enables spatially-resolved and unambiguous detection of polar order.
By combining MEB imaging with strain engineering, we confirm the onset of a polar
vector at the magnetic transition, establishing strained Cr1/3NbS2 as a type-II
multiferroic.
acknowledgement: "Y.S., V.S. and J.O. received support from the Gordon and Betty Moore
Foundation’s\r\nEPiQS Initiative through Grant GBMF4537 to J.O. at UC Berkeley.
Experimental and theoretical work at LBNL and UC Berkeley was funded by the Quantum
Materials (KC2202) program under the U.S. Department of Energy, Office of Science,
Office of Basic Energy Sciences,\r\nMaterials Sciences and Engineering Division
under Contract No. DE-AC02-05CH11231.\r\nY.S. also acknowledges support by the David
J. Thouless Postdoctoral Fellowship at the\r\nDepartment of Physics, University
of Washington. DGM acknowledges support from the\r\nGordon and Betty Moore Foundation’s
EPiQS Initiative, Grant GBMF9069. L.Z. acknowledges the support from the U.S. Department
of Energy (DOE), Office of Science, Basic\r\nEnergy Science (BES), under award No.
DE-SC0024145"
article_number: '2510.11619'
article_processing_charge: No
arxiv: 1
author:
- first_name: Y.
full_name: Sun, Y.
last_name: Sun
- first_name: Y.
full_name: Ahn, Y.
last_name: Ahn
- first_name: D.
full_name: Sapkota, D.
last_name: Sapkota
- first_name: H. S.
full_name: Arachchige, H. S.
last_name: Arachchige
- first_name: R.
full_name: Xue, R.
last_name: Xue
- first_name: S.
full_name: Mozaffari, S.
last_name: Mozaffari
- first_name: D. G.
full_name: Mandrus, D. G.
last_name: Mandrus
- first_name: L.
full_name: Zhao, L.
last_name: Zhao
- first_name: J.
full_name: Orenstein, J.
last_name: Orenstein
- first_name: Veronika
full_name: Sunko, Veronika
id: 23cb1cf6-2c7a-11ef-91a4-f72fc19f20b3
last_name: Sunko
orcid: 0000-0003-2724-3523
citation:
ama: Sun Y, Ahn Y, Sapkota D, et al. Strain-induced multiferroicity in Cr1/3NbS2.
arXiv. doi:10.48550/arXiv.2510.11619
apa: Sun, Y., Ahn, Y., Sapkota, D., Arachchige, H. S., Xue, R., Mozaffari, S., …
Sunko, V. (n.d.). Strain-induced multiferroicity in Cr1/3NbS2. arXiv. https://doi.org/10.48550/arXiv.2510.11619
chicago: Sun, Y., Y. Ahn, D. Sapkota, H. S. Arachchige, R. Xue, S. Mozaffari, D.
G. Mandrus, L. Zhao, J. Orenstein, and Veronika Sunko. “Strain-Induced Multiferroicity
in Cr1/3NbS2.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2510.11619.
ieee: Y. Sun et al., “Strain-induced multiferroicity in Cr1/3NbS2,” arXiv.
.
ista: Sun Y, Ahn Y, Sapkota D, Arachchige HS, Xue R, Mozaffari S, Mandrus DG, Zhao
L, Orenstein J, Sunko V. Strain-induced multiferroicity in Cr1/3NbS2. arXiv, 2510.11619.
mla: Sun, Y., et al. “Strain-Induced Multiferroicity in Cr1/3NbS2.” ArXiv,
2510.11619, doi:10.48550/arXiv.2510.11619.
short: Y. Sun, Y. Ahn, D. Sapkota, H.S. Arachchige, R. Xue, S. Mozaffari, D.G. Mandrus,
L. Zhao, J. Orenstein, V. Sunko, ArXiv (n.d.).
corr_author: '1'
date_created: 2026-03-11T10:39:44Z
date_published: 2025-10-13T00:00:00Z
date_updated: 2026-03-16T08:43:57Z
day: '13'
department:
- _id: VeSu
doi: 10.48550/arXiv.2510.11619
external_id:
arxiv:
- '2510.11619'
fulldoi: https://doi.org/10.48550/arXiv.2510.11619
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2510.11619
month: '10'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: Strain-induced multiferroicity in Cr1/3NbS2
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: publisher
OA_type: gold
_id: '21474'
abstract:
- lang: eng
text: Rendering novel, relit views of a human head, given a monocular portrait image
as input, is an inherently underconstrained problem. The traditional graphics
solution is to explicitly decompose the input image into geometry, material and
lighting via differentiable rendering; but this is constrained by the multiple
assumptions and approximations of the underlying models and parameterizations
of these scene components. We propose 3DPR, an image-based relighting model that
leverages generative priors learnt from multi-view One-Light-at-A-Time (OLAT)
images captured in a light stage. We introduce a new diverse and large-scale multi-view
4K OLAT dataset of 139 subjects to learn a high-quality prior over the distribution
of high-frequency face reflectance. We leverage the latent space of a pre-trained
generative head model that provides a rich prior over face geometry learnt from
in-the-wild image datasets. The input portrait is first embedded in the latent
manifold of such a model through an encoder-based inversion process. Then a novel
triplane-based reflectance network trained on our lightstage data is used to synthesize
high-fidelity OLAT images to enable image-based relighting. Our reflectance network
operates in the latent space of the generative head model, crucially enabling
a relatively small number of lightstage images to train the reflectance model.
Combining the generated OLATs according to a given HDRI environment maps yields
physically accurate environmental relighting results. Through quantitative and
qualitative evaluations, we demonstrate that 3DPR outperforms previous methods,
particularly in preserving identity and in capturing lighting effects such as
specularities, self-shadows, and subsurface scattering.
acknowledgement: This work was supported by the ERC Consolidator Grant 4DReply (770784)
and Saarbrücken Research Center for Visual Comput- ing, Interaction, and AI. We
thank Oleksandr Sotnychenko for helping us with setting up data capture. Finally,
we thank Shrisha Bharadwaj for discussions, proofreading and innumerable support.
article_number: '108'
article_processing_charge: No
arxiv: 1
author:
- first_name: Pramod
full_name: Rao, Pramod
last_name: Rao
- first_name: Abhimitra
full_name: Meka, Abhimitra
last_name: Meka
- first_name: Xilong
full_name: Zhou, Xilong
last_name: Zhou
- first_name: Gereon
full_name: Fox, Gereon
last_name: Fox
- first_name: B. R.
full_name: Mallikarjun, B. R.
last_name: Mallikarjun
- first_name: Fangneng
full_name: Zhan, Fangneng
last_name: Zhan
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
- first_name: Thabo
full_name: Beeler, Thabo
last_name: Beeler
- first_name: Mohamed
full_name: Elgharib, Mohamed
last_name: Elgharib
- first_name: Marc
full_name: Habermann, Marc
last_name: Habermann
- first_name: Christian
full_name: Theobalt, Christian
last_name: Theobalt
citation:
ama: 'Rao P, Meka A, Zhou X, et al. 3DPR: Single image 3D portrait relighting with
generative priors. In: Proceedings SIGGRAPH Asia 2025 Conference Papers 2025.
Association for Computing Machinery; 2025. doi:10.1145/3757377.3763962'
apa: 'Rao, P., Meka, A., Zhou, X., Fox, G., Mallikarjun, B. R., Zhan, F., … Theobalt,
C. (2025). 3DPR: Single image 3D portrait relighting with generative priors. In
Proceedings SIGGRAPH Asia 2025 Conference Papers 2025. Hong Kong, Hong
Kong: Association for Computing Machinery. https://doi.org/10.1145/3757377.3763962'
chicago: 'Rao, Pramod, Abhimitra Meka, Xilong Zhou, Gereon Fox, B. R. Mallikarjun,
Fangneng Zhan, Tim Weyrich, et al. “3DPR: Single Image 3D Portrait Relighting
with Generative Priors.” In Proceedings SIGGRAPH Asia 2025 Conference Papers
2025. Association for Computing Machinery, 2025. https://doi.org/10.1145/3757377.3763962.'
ieee: 'P. Rao et al., “3DPR: Single image 3D portrait relighting with generative
priors,” in Proceedings SIGGRAPH Asia 2025 Conference Papers 2025, Hong
Kong, Hong Kong, 2025.'
ista: 'Rao P, Meka A, Zhou X, Fox G, Mallikarjun BR, Zhan F, Weyrich T, Bickel B,
Pfister H, Matusik W, Beeler T, Elgharib M, Habermann M, Theobalt C. 2025. 3DPR:
Single image 3D portrait relighting with generative priors. Proceedings SIGGRAPH
Asia 2025 Conference Papers 2025. SA: SIGGRAPH Asia, 108.'
mla: 'Rao, Pramod, et al. “3DPR: Single Image 3D Portrait Relighting with Generative
Priors.” Proceedings SIGGRAPH Asia 2025 Conference Papers 2025, 108, Association
for Computing Machinery, 2025, doi:10.1145/3757377.3763962.'
short: P. Rao, A. Meka, X. Zhou, G. Fox, B.R. Mallikarjun, F. Zhan, T. Weyrich,
B. Bickel, H. Pfister, W. Matusik, T. Beeler, M. Elgharib, M. Habermann, C. Theobalt,
in:, Proceedings SIGGRAPH Asia 2025 Conference Papers 2025, Association for Computing
Machinery, 2025.
conference:
end_date: 2025-12-18
location: Hong Kong, Hong Kong
name: 'SA: SIGGRAPH Asia'
start_date: 2025-12-15
date_created: 2026-03-22T23:04:35Z
date_published: 2025-12-14T00:00:00Z
date_updated: 2026-03-23T14:45:58Z
day: '14'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3757377.3763962
external_id:
arxiv:
- '2510.15846'
file:
- access_level: open_access
checksum: a3dc426cdf7bbd84a192e5140bb3bb49
content_type: application/pdf
creator: dernst
date_created: 2026-03-23T14:41:07Z
date_updated: 2026-03-23T14:41:07Z
file_id: '21479'
file_name: 2025_SiggraphAsia_Rao.pdf
file_size: 57903731
relation: main_file
success: 1
file_date_updated: 2026-03-23T14:41:07Z
fulldoi: https://doi.org/10.1145/3757377.3763962
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '12'
oa: 1
oa_version: Published Version
publication: Proceedings SIGGRAPH Asia 2025 Conference Papers 2025
publication_identifier:
isbn:
- '9798400721373'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: '3DPR: Single image 3D portrait relighting with generative priors'
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: repository
OA_type: gold
_id: '21668'
abstract:
- lang: eng
text: "This artifact allows to review and reproduce the experiments from the paper
*A Revised Practitioner's Guide to MDP Model Checking Algorithms*.\r\nThe package
contains all original logfiles and derived data used to generate the plots as
in the paper. Furthermore, the artifact contains the model checking tools `Storm`
and `mcsta` in the version exercised in the paper, the used Docker container,
as well as benchmark instances and execution scripts to reproduce the experiments.\r\n\r\nSee
also the artifact of the conference paper: https://zenodo.org/records/7509474"
article_processing_charge: No
author:
- first_name: Arnd
full_name: Hartmanns, Arnd
last_name: Hartmanns
- first_name: Sebastian
full_name: Junges, Sebastian
last_name: Junges
- first_name: Tim
full_name: Quatmann, Tim
last_name: Quatmann
- first_name: Maximilian
full_name: Weininger, Maximilian
id: 02ab0197-cc70-11ed-ab61-918e71f56881
last_name: Weininger
orcid: 0000-0002-0163-2152
citation:
ama: Hartmanns A, Junges S, Quatmann T, Weininger M. Benchmark data for the revised
practitioner’s guide to MDP model checking algorithms. 2025. doi:10.5281/ZENODO.14500423
apa: Hartmanns, A., Junges, S., Quatmann, T., & Weininger, M. (2025). Benchmark
data for the revised practitioner’s guide to MDP model checking algorithms. Zenodo.
https://doi.org/10.5281/ZENODO.14500423
chicago: Hartmanns, Arnd, Sebastian Junges, Tim Quatmann, and Maximilian Weininger.
“Benchmark Data for the Revised Practitioner’s Guide to MDP Model Checking Algorithms.”
Zenodo, 2025. https://doi.org/10.5281/ZENODO.14500423.
ieee: A. Hartmanns, S. Junges, T. Quatmann, and M. Weininger, “Benchmark data for
the revised practitioner’s guide to MDP model checking algorithms.” Zenodo, 2025.
ista: Hartmanns A, Junges S, Quatmann T, Weininger M. 2025. Benchmark data for the
revised practitioner’s guide to MDP model checking algorithms, Zenodo, 10.5281/ZENODO.14500423.
mla: Hartmanns, Arnd, et al. Benchmark Data for the Revised Practitioner’s Guide
to MDP Model Checking Algorithms. Zenodo, 2025, doi:10.5281/ZENODO.14500423.
short: A. Hartmanns, S. Junges, T. Quatmann, M. Weininger, (2025).
date_created: 2026-04-07T09:47:22Z
date_published: 2025-03-07T00:00:00Z
date_updated: 2026-04-07T09:52:55Z
day: '07'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.5281/ZENODO.14500423
fulldoi: https://doi.org/10.5281/ZENODO.14500423
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url: https://doi.org/10.5281/ZENODO.14500423
month: '03'
oa: 1
oa_version: Published Version
publisher: Zenodo
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relation: used_for_analysis_in
status: public
status: public
title: Benchmark data for the revised practitioner's guide to MDP model checking algorithms
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '21706'
abstract:
- lang: eng
text: "Consider a quadratic polynomial Q(ξ1, . . . , ξn) of independent Rademacher
random variables ξ1, . . . , ξn. To what extent can Q(ξ1, . . . , ξn) concentrate
on a single value? This quadratic version of the classical Littlewood–Offord problem
was popularised by Costello, Tao and Vu in their study of symmetric random matrices.
In this paper, we obtain an essentially optimal bound for this problem, as conjectured
by Nguyen and Vu. Specifically, if Q(ξ1, . . . , ξn) ‘robustly depends on at least
m of the ξi’ in the sense that there is no way to pin down the value of Q(ξ1,
. . . , ξn) by fixing values for fewer than m of the variables ξi, then we have
Pr[Q(ξ1, . . . , ξn) = 0] ≤ O(1/√m). This also implies a similar result in the
case where ξ1, . . . , ξn have arbitrary distributions. Our proof combines a number
of ideas that may be of independent interest, including an inductive decoupling
scheme that reduces quadratic anticoncentration problems\r\nto high-dimensional
linear anticoncentration problems. Also, one application of our main result is
the resolution of a conjecture of Alon, Hefetz, Krivelevich and Tyomkyn related
to graph inducibility. "
acknowledgement: We would like to thank the anonymous referee for a number of helpful
comments and suggestions. Matthew Kwan was supported by ERC Starting Grant “RANDSTRUCT”
No. 101076777. Lisa Sauermann was supported in part by NSF Award DMS-2100157 and
a Sloan Research Fellowship, and in part by the DFG Heisenberg Program.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Matthew Alan
full_name: Kwan, Matthew Alan
id: 5fca0887-a1db-11eb-95d1-ca9d5e0453b3
last_name: Kwan
orcid: 0000-0002-4003-7567
- first_name: Lisa
full_name: Sauermann, Lisa
last_name: Sauermann
citation:
ama: Kwan MA, Sauermann L. Resolution of the quadratic Littlewood–Offord problem.
Compositio Mathematica. 2025;161(12):3089-3139. doi:10.1112/S0010437X25102789
apa: Kwan, M. A., & Sauermann, L. (2025). Resolution of the quadratic Littlewood–Offord
problem. Compositio Mathematica. Cambridge University Press. https://doi.org/10.1112/S0010437X25102789
chicago: Kwan, Matthew Alan, and Lisa Sauermann. “Resolution of the Quadratic Littlewood–Offord
Problem.” Compositio Mathematica. Cambridge University Press, 2025. https://doi.org/10.1112/S0010437X25102789.
ieee: M. A. Kwan and L. Sauermann, “Resolution of the quadratic Littlewood–Offord
problem,” Compositio Mathematica, vol. 161, no. 12. Cambridge University
Press, pp. 3089–3139, 2025.
ista: Kwan MA, Sauermann L. 2025. Resolution of the quadratic Littlewood–Offord
problem. Compositio Mathematica. 161(12), 3089–3139.
mla: Kwan, Matthew Alan, and Lisa Sauermann. “Resolution of the Quadratic Littlewood–Offord
Problem.” Compositio Mathematica, vol. 161, no. 12, Cambridge University
Press, 2025, pp. 3089–139, doi:10.1112/S0010437X25102789.
short: M.A. Kwan, L. Sauermann, Compositio Mathematica 161 (2025) 3089–3139.
corr_author: '1'
date_created: 2026-04-12T22:01:48Z
date_published: 2025-12-01T00:00:00Z
date_updated: 2026-05-04T09:42:57Z
day: '01'
ddc:
- '510'
department:
- _id: MaKw
doi: 10.1112/S0010437X25102789
external_id:
arxiv:
- '2312.13826'
file:
- access_level: open_access
checksum: bd3415bb435da9d0b39f6f9a18c61abb
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creator: dernst
date_created: 2026-05-04T09:41:25Z
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relation: main_file
success: 1
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language:
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month: '12'
oa: 1
oa_version: Published Version
page: 3089-3139
project:
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grant_number: '101076777'
name: Randomness and structure in combinatorics
publication: Compositio Mathematica
publication_identifier:
eissn:
- 1570-5846
issn:
- 0010-437X
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Resolution of the quadratic Littlewood–Offord problem
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: 161
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21724'
abstract:
- lang: eng
text: 'The next generation of weak-gravitational-lensing surveys has the potential
to place stringent constraints on cosmological parameters. However, their analysis
is limited by systematics such as the intrinsic alignments of galaxies, which
alter weak-lensing convergence and can lead to biases in cosmological parameter
estimations. For the first time, in this work, we investigate the impact of intrinsic
alignments on non-Gaussian statistics of the weak-lensing field using galaxy shapes
derived from the IllustrisTNG hydrodynamical simulation. We create two catalogs
of ray-traced convergence maps: one that includes the measured intrinsic shape
of each galaxy and another where all galaxies are randomly rotated to eliminate
intrinsic alignments. We compare a range of weak-lensing statistics between the
two catalogs, including the shear–shear correlation function, the map-level angular
power spectrum, one-point, peak count, and minimum distribution functions, and
Minkowski functionals. For each statistic, we assess the level of statistical
distinguishability between catalogs for a set of future survey angular areas.
Our results reveal strong small-scale correlation in the alignment of galaxies
and statistically significant boosts in weak-lensing convergence in both positive
and negative directions for high-significance peaks and minima, respectively.
We note that our analysis is at a fixed number density of ˜ 5 arcmin^-2, drawn
from a single realization of initial conditions, and does not include observational
uncertainties or supersample covariance contributions. Weak-lensing analyses utilizing
non-Gaussian statistics must account for intrinsic alignments to avoid significantly
compromised cosmological inferences.'
acknowledgement: We thank Fulvio Ferlito, Ana Maria Delgado, and Ken Osato for helpful
conversations during this work. M.E.L. is supported by NSF grant DGE-2036197. Z.H.
acknowledges financial support from NASA ATP grant 80NSSC24K1093. The Flatiron Institute
is supported by the Simons Foundation.
article_number: '36'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Max E.
full_name: Lee, Max E.
last_name: Lee
- first_name: Zoltán
full_name: Haiman, Zoltán
id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36
last_name: Haiman
orcid: 0000-0003-3633-5403
- first_name: Shivam
full_name: Pandey, Shivam
last_name: Pandey
- first_name: Shy
full_name: Genel, Shy
last_name: Genel
citation:
ama: Lee ME, Haiman Z, Pandey S, Genel S. The effect of intrinsic alignments on
weak-lensing statistics in hydrodynamical simulations. The Astrophysical Journal.
2025;996(1). doi:10.3847/1538-4357/ae1ca7
apa: Lee, M. E., Haiman, Z., Pandey, S., & Genel, S. (2025). The effect of intrinsic
alignments on weak-lensing statistics in hydrodynamical simulations. The Astrophysical
Journal. IOP Publishing. https://doi.org/10.3847/1538-4357/ae1ca7
chicago: Lee, Max E., Zoltán Haiman, Shivam Pandey, and Shy Genel. “The Effect of
Intrinsic Alignments on Weak-Lensing Statistics in Hydrodynamical Simulations.”
The Astrophysical Journal. IOP Publishing, 2025. https://doi.org/10.3847/1538-4357/ae1ca7.
ieee: M. E. Lee, Z. Haiman, S. Pandey, and S. Genel, “The effect of intrinsic alignments
on weak-lensing statistics in hydrodynamical simulations,” The Astrophysical
Journal, vol. 996, no. 1. IOP Publishing, 2025.
ista: Lee ME, Haiman Z, Pandey S, Genel S. 2025. The effect of intrinsic alignments
on weak-lensing statistics in hydrodynamical simulations. The Astrophysical Journal.
996(1), 36.
mla: Lee, Max E., et al. “The Effect of Intrinsic Alignments on Weak-Lensing Statistics
in Hydrodynamical Simulations.” The Astrophysical Journal, vol. 996, no.
1, 36, IOP Publishing, 2025, doi:10.3847/1538-4357/ae1ca7.
short: M.E. Lee, Z. Haiman, S. Pandey, S. Genel, The Astrophysical Journal 996 (2025).
date_created: 2026-04-12T22:01:52Z
date_published: 2025-12-23T00:00:00Z
date_updated: 2026-04-13T08:30:52Z
day: '23'
ddc:
- '520'
department:
- _id: ZoHa
doi: 10.3847/1538-4357/ae1ca7
external_id:
arxiv:
- '2504.12460'
file:
- access_level: open_access
checksum: 0d8fa05617420230eac39944b36839e9
content_type: application/pdf
creator: dernst
date_created: 2026-04-13T08:20:16Z
date_updated: 2026-04-13T08:20:16Z
file_id: '21732'
file_name: 2025_AstrophysicalJournal_Lee.pdf
file_size: 4122087
relation: main_file
success: 1
file_date_updated: 2026-04-13T08:20:16Z
fulldoi: https://doi.org/10.3847/1538-4357/ae1ca7
has_accepted_license: '1'
intvolume: ' 996'
issue: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: The Astrophysical Journal
publication_identifier:
eissn:
- 1538-4357
issn:
- 0004-637X
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: The effect of intrinsic alignments on weak-lensing statistics in hydrodynamical
simulations
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: 996
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21727'
abstract:
- lang: eng
text: We present a comprehensive analysis of the MIRI Extremely Red Object Virgil,
a Lyα emitter at zspec = 6.6379 ± 0.0035 with the photometric properties of a
Little Red Dot. Leveraging new JWST/MIRI imaging from the MIDIS and PAHSPECS programs,
we confirm Virgil’s extraordinary nature among galaxies in JADES/GOODS-South,
exhibiting a strikingly red NIRCam-to-MIRI color (F444W–F1500W = 2.84 ± 0.04 mag).
Deep NIRSpec/PRISM spectroscopy from the OASIS program offers key insights into
the host galaxy, revealing properties of an average star-forming galaxy during
Cosmic Reionization, such as a subsolar metallicity, low-to-moderate dust content,
and a relatively high ionization parameter and electron temperature. By estimating
the star formation rate of Virgil from UV and Hα, we find evidence that the galaxy
is either entering or fading out of a bursty episode. Although line-ratio diagnostics
employed at high z would classify Virgil as an active galactic nucleus (AGN),
this classification becomes ambiguous once redshift evolution is considered. Nonetheless,
Virgil occupies the same parameter space as recently confirmed AGNs at similar
redshifts. The new deep MIRI data at 15 μm reinforce the AGN nature of Virgil,
as inferred from multiple spectral energy distribution (SED) fitting codes. Virgil’s
rising infrared SED and UV excess resemble those of Dust-Obscured Galaxies (DOGs)
studied with Spitzer at Cosmic Noon, particularly blue-excess HotDOGs. Our results
highlight the need for a multiwavelength approach incorporating MIRI to uncover
such extreme sources at z ≳ 6 and to shed light on the interplay between galaxy
evolution and early black hole growth during Cosmic Reionization.
acknowledgement: "The authors are deeply grateful to Antonello Calabrò for valuable
insights on CLOUDY and pyCloudy, and for publicly sharing their SFG and AGN models,
which were used as a reference to verify the consistency of our photoionization
models. The authors also thank Adam Carnall for insightful input on bagpipes and
for assistance with the implementation of the two-population model adopted in this
work. Finally, they also thank Camilla Pacifici, Vasily Kokorev, and Cristian Vignali
for their insightful discussions.\r\n\r\nThis work is based on observations made
with the NASA/ESA/CSA JWST. The data were obtained from the Mikulski Archive for
Space Telescopes (MAST) at the Space Telescope Science Institute, which is operated
by the Association of Universities for Research in Astronomy, Inc., under NASA contract
NAS 5-03127 for JWST. These observations are associated with JWST programs GTO #1180,
GO #1210, GTO#1283, GO #1963, GO #1895, GO# 3215, and GO#6511.\r\n\r\nThe authors
acknowledge the FRESCO, JEMS, and #3215 teams led by co-PIs P. Oesch, C. C. Williams,
M. Maseda, D. Eisenstein, and R. Maiolino for developing their observing program
with a zero-exclusive-access period. Processing for the JADES NIRCam data release
was performed on the lux cluster at the University of California, Santa Cruz, funded
by NSF MRI grant AST 1828315. Also based on observations made with the NASA/ESA
Hubble Space Telescope obtained from the Space Telescope Science Institute, which
is operated by the Association of Universities for Research in Astronomy, Inc.,
under NASA contract NAS 526555. The data presented in this article were obtained
from MAST at the Space Telescope Science Institute. The specific observations analyzed
can be accessed via doi: 10.17909/1rq3-8048 P. Oesch & D. Magee (2023), C. Williams
et al. (2023), G. Illingworth (2015), and M. Rieke et al. (2023).\r\n\r\nA.J.B.
acknowledges funding from the “FirstGalaxies” Advanced Grant from the European Research
Council (ERC) under the European Union’s Horizon 2020 research and innovation program
(grant agreement No. 789056).\r\n\r\nP.G.P.-G. acknowledges support from grant PID2022-139567NB-I00
funded by the Spanish Ministerio de Ciencia e Innovación MCIN/AEI/10.13039/501100011033,
FEDER, UE.\r\n\r\nB.E.R. acknowledges support from the NIRCam Science Team contract
to the University of Arizona, NAS5-02015, and JWST Program 3215.\r\n\r\nS.T. acknowledges
support by the Royal Society Research Grant G125142.\r\n\r\nThe research of C.C.W.
is supported by NOIRLab, which is managed by the Association of Universities for
Research in Astronomy (AURA) under a cooperative agreement with the National Science
Foundation.\r\n\r\nJ.W. gratefully acknowledges support from the Cosmic Dawn Center
through the DAWN Fellowship. The Cosmic Dawn Center (DAWN) is funded by the Danish
National Research Foundation under grant No. 140.\r\n\r\nY.Z., Z.J., and P.L. gratefully
acknowledge the JWST/NIRCam contract to the University of Arizona NAS5-02015.\r\n\r\nThe
work of G.H.R. and P.L. was also supported by grant 80NSSC18K0555, from the NASA
Goddard Space Flight Center to the University of Arizona.\r\n\r\nH.Ü. acknowledges
funding by the European Union (ERC APEX, 101164796). Views and opinions expressed
are however those of the authors only and do not necessarily reflect those of the
European Union or the European Research Council Executive Agency. Neither the European
Union nor the granting authority can be held responsible for them.\r\n\r\nG.C.J.
acknowledges support by the Science and Technology Facilities Council (STFC), ERC
Advanced grant 695671 “QUENCH.”\r\n\r\nA.C.G. acknowledges support by JWST contract
B0215/JWST-GO-02926.\r\n\r\nG.O. acknowledges support from the Swedish National
Space Agency (SNSA).\r\n\r\nH.I. acknowledges support from JSPS KAKENHI grant No.
JP21H01129.\r\n\r\nM.A. gratefully acknowledges support from ANID Basal Project
FB210003 and ANID MILENIO NCN2024_112.\r\n\r\nT.D.S. acknowledges the research project
was supported by the Hellenic Foundation for Research and Innovation (HFRI) under
the “2nd Call for HFRI Research Projects to Support Faculty Members and Researchers”
(project No.: 03382).\r\n\r\nR.M. acknowledges support by the Science and Technology
Facilities Council (STFC), by the ERC through Advanced grant 695671 “QUENCH,” and
by the UKRI Frontier Research grant RISEandFALL. R.M. also acknowledges funding
from a research professorship from the Royal Society.\r\n\r\nI.S. acknowledges funding
from the Atraccíon de Talento grant No. 2022-T1/TIC-20472 of the Comunidad de Madrid,
Spain, and the European Research Council (ERC) under the European Union’s Horizon
2020 research and innovation program (grant No. 101117541, DistantDust).\r\n\r\nK.I.C.
acknowledges funding from the Dutch Research Council (NWO) through the award of
the Vici grant VI.C.212.036.\r\n\r\nFacilities: HST - Hubble Space Telescope satellite,
JWST. -\r\n\r\nSoftware: Astropy (Astropy Collaboration et al. 2022), Bagpipes (A.
C. Carnall et al. 2019), MSAEXP (G. Brammer 2023) NumPy (C. R. Harris et al. 2020),
pandas (The pandas development team 2024) Photutils (L. Bradley et al. 2016), TOPCAT
(M. Taylor 2022)."
article_number: '86'
article_processing_charge: Yes
article_type: original
author:
- first_name: Pierluigi
full_name: Rinaldi, Pierluigi
last_name: Rinaldi
- first_name: Pablo G.
full_name: Pérez-González, Pablo G.
last_name: Pérez-González
- first_name: George H.
full_name: Rieke, George H.
last_name: Rieke
- first_name: Jianwei
full_name: Lyu, Jianwei
last_name: Lyu
- first_name: Francesco
full_name: D’Eugenio, Francesco
last_name: D’Eugenio
- first_name: Zihao
full_name: Wu, Zihao
last_name: Wu
- first_name: Stefano
full_name: Carniani, Stefano
last_name: Carniani
- first_name: Tobias J.
full_name: Looser, Tobias J.
last_name: Looser
- first_name: Irene
full_name: Shivaei, Irene
last_name: Shivaei
- first_name: Leindert A.
full_name: Boogaard, Leindert A.
last_name: Boogaard
- first_name: Tanio
full_name: Diaz-Santos, Tanio
last_name: Diaz-Santos
- first_name: Luis
full_name: Colina, Luis
last_name: Colina
- first_name: Göran
full_name: Östlin, Göran
last_name: Östlin
- first_name: Stacey
full_name: Alberts, Stacey
last_name: Alberts
- first_name: Javier
full_name: Álvarez-Márquez, Javier
last_name: Álvarez-Márquez
- first_name: Marianna
full_name: Annuziatella, Marianna
last_name: Annuziatella
- first_name: Manuel
full_name: Aravena, Manuel
last_name: Aravena
- first_name: Rachana
full_name: Bhatawdekar, Rachana
last_name: Bhatawdekar
- first_name: Andrew J.
full_name: Bunker, Andrew J.
last_name: Bunker
- first_name: Karina I.
full_name: Caputi, Karina I.
last_name: Caputi
- first_name: Stéphane
full_name: Charlot, Stéphane
last_name: Charlot
- first_name: Alejandro
full_name: Crespo Gómez, Alejandro
last_name: Crespo Gómez
- first_name: Mirko
full_name: Curti, Mirko
last_name: Curti
- first_name: Andreas
full_name: Eckart, Andreas
last_name: Eckart
- first_name: Steven
full_name: Gillman, Steven
last_name: Gillman
- first_name: Kevin
full_name: Hainline, Kevin
last_name: Hainline
- first_name: Nimisha
full_name: Kumari, Nimisha
last_name: Kumari
- first_name: Jens
full_name: Hjorth, Jens
last_name: Hjorth
- first_name: Edoardo
full_name: Iani, Edoardo
id: 4053390a-6b68-11ef-9828-a3b8adef8d0a
last_name: Iani
orcid: 0000-0001-8386-3546
- first_name: Hanae
full_name: Inami, Hanae
last_name: Inami
- first_name: Zhiyuan
full_name: Ji, Zhiyuan
last_name: Ji
- first_name: Benjamin D.
full_name: Johnson, Benjamin D.
last_name: Johnson
- first_name: Gareth C.
full_name: Jones, Gareth C.
last_name: Jones
- first_name: Álvaro
full_name: Labiano, Álvaro
last_name: Labiano
- first_name: Roberto
full_name: Maiolino, Roberto
last_name: Maiolino
- first_name: Jens
full_name: Melinder, Jens
last_name: Melinder
- first_name: Thibaud
full_name: Moutard, Thibaud
last_name: Moutard
- first_name: Florian
full_name: Peissker, Florian
last_name: Peissker
- first_name: Marcia
full_name: Rieke, Marcia
last_name: Rieke
- first_name: Brant
full_name: Robertson, Brant
last_name: Robertson
- first_name: Jan
full_name: Scholtz, Jan
last_name: Scholtz
- first_name: Sandro
full_name: Tacchella, Sandro
last_name: Tacchella
- first_name: Paul P.
full_name: Van Der Werf, Paul P.
last_name: Van Der Werf
- first_name: Fabian
full_name: Walter, Fabian
last_name: Walter
- first_name: Christina C.
full_name: Williams, Christina C.
last_name: Williams
- first_name: Chris
full_name: Willott, Chris
last_name: Willott
- first_name: Joris
full_name: Witstok, Joris
last_name: Witstok
- first_name: Hannah
full_name: Übler, Hannah
last_name: Übler
- first_name: Yongda
full_name: Zhu, Yongda
last_name: Zhu
citation:
ama: 'Rinaldi P, Pérez-González PG, Rieke GH, et al. Deciphering the nature of Virgil:
An obscured active galactic nucleus lurking within an apparently normal Lyα emitter
during cosmic reionization. The Astrophysical Journal. 2025;994(1). doi:10.3847/1538-4357/ae089c'
apa: 'Rinaldi, P., Pérez-González, P. G., Rieke, G. H., Lyu, J., D’Eugenio, F.,
Wu, Z., … Zhu, Y. (2025). Deciphering the nature of Virgil: An obscured active
galactic nucleus lurking within an apparently normal Lyα emitter during cosmic
reionization. The Astrophysical Journal. IOP Publishing. https://doi.org/10.3847/1538-4357/ae089c'
chicago: 'Rinaldi, Pierluigi, Pablo G. Pérez-González, George H. Rieke, Jianwei
Lyu, Francesco D’Eugenio, Zihao Wu, Stefano Carniani, et al. “Deciphering the
Nature of Virgil: An Obscured Active Galactic Nucleus Lurking within an Apparently
Normal Lyα Emitter during Cosmic Reionization.” The Astrophysical Journal.
IOP Publishing, 2025. https://doi.org/10.3847/1538-4357/ae089c.'
ieee: 'P. Rinaldi et al., “Deciphering the nature of Virgil: An obscured
active galactic nucleus lurking within an apparently normal Lyα emitter during
cosmic reionization,” The Astrophysical Journal, vol. 994, no. 1. IOP Publishing,
2025.'
ista: 'Rinaldi P, Pérez-González PG, Rieke GH, Lyu J, D’Eugenio F, Wu Z, Carniani
S, Looser TJ, Shivaei I, Boogaard LA, Diaz-Santos T, Colina L, Östlin G, Alberts
S, Álvarez-Márquez J, Annuziatella M, Aravena M, Bhatawdekar R, Bunker AJ, Caputi
KI, Charlot S, Crespo Gómez A, Curti M, Eckart A, Gillman S, Hainline K, Kumari
N, Hjorth J, Iani E, Inami H, Ji Z, Johnson BD, Jones GC, Labiano Á, Maiolino
R, Melinder J, Moutard T, Peissker F, Rieke M, Robertson B, Scholtz J, Tacchella
S, Van Der Werf PP, Walter F, Williams CC, Willott C, Witstok J, Übler H, Zhu
Y. 2025. Deciphering the nature of Virgil: An obscured active galactic nucleus
lurking within an apparently normal Lyα emitter during cosmic reionization. The
Astrophysical Journal. 994(1), 86.'
mla: 'Rinaldi, Pierluigi, et al. “Deciphering the Nature of Virgil: An Obscured
Active Galactic Nucleus Lurking within an Apparently Normal Lyα Emitter during
Cosmic Reionization.” The Astrophysical Journal, vol. 994, no. 1, 86, IOP
Publishing, 2025, doi:10.3847/1538-4357/ae089c.'
short: P. Rinaldi, P.G. Pérez-González, G.H. Rieke, J. Lyu, F. D’Eugenio, Z. Wu,
S. Carniani, T.J. Looser, I. Shivaei, L.A. Boogaard, T. Diaz-Santos, L. Colina,
G. Östlin, S. Alberts, J. Álvarez-Márquez, M. Annuziatella, M. Aravena, R. Bhatawdekar,
A.J. Bunker, K.I. Caputi, S. Charlot, A. Crespo Gómez, M. Curti, A. Eckart, S.
Gillman, K. Hainline, N. Kumari, J. Hjorth, E. Iani, H. Inami, Z. Ji, B.D. Johnson,
G.C. Jones, Á. Labiano, R. Maiolino, J. Melinder, T. Moutard, F. Peissker, M.
Rieke, B. Robertson, J. Scholtz, S. Tacchella, P.P. Van Der Werf, F. Walter, C.C.
Williams, C. Willott, J. Witstok, H. Übler, Y. Zhu, The Astrophysical Journal
994 (2025).
date_created: 2026-04-12T22:01:53Z
date_published: 2025-11-20T00:00:00Z
date_updated: 2026-04-13T07:54:11Z
day: '20'
ddc:
- '520'
department:
- _id: JoMa
doi: 10.3847/1538-4357/ae089c
file:
- access_level: open_access
checksum: 5d13b0ad3e9f56cbe29c5de0ba5757c8
content_type: application/pdf
creator: dernst
date_created: 2026-04-13T07:53:00Z
date_updated: 2026-04-13T07:53:00Z
file_id: '21731'
file_name: 2025_AstrophysicalJournal_Rinaldi.pdf
file_size: 10298729
relation: main_file
success: 1
file_date_updated: 2026-04-13T07:53:00Z
fulldoi: https://doi.org/10.3847/1538-4357/ae089c
has_accepted_license: '1'
intvolume: ' 994'
issue: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: The Astrophysical Journal
publication_identifier:
eissn:
- 1538-4357
issn:
- 0004-637X
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Deciphering the nature of Virgil: An obscured active galactic nucleus lurking
within an apparently normal Lyα emitter during cosmic reionization'
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: 994
year: '2025'
...
---
OA_type: closed access
_id: '21885'
abstract:
- lang: eng
text: Symbolic datatypes have proved to be central for automated reasoning about
dynamical systems. In its basic form, a symbolic datatype for a class of dynamical
systems supports the representation of state and transition sets, boolean operations
and emptiness checks on such sets, and the transformation of a state set by a
transition set. Successful examples of symbolic datatypes include BDDs and SAT
for reasoning about finitestate systems, as well as polyhedra and SMT for reasoning
about discrete dynamical systems over multidimensional realvalued state spaces.
Most automated verification engines are based on such symbolic datatypes.
article_processing_charge: No
author:
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: 'Henzinger TA. Neural Certificates. In: Proceedings of the 27th International
Symposium on Symbolic and Numeric Algorithms for Scientific Computing. IEEE;
2025. doi:10.1109/SYNASC69064.2025.00008'
apa: 'Henzinger, T. A. (2025). Neural Certificates. In Proceedings of the 27th
International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.
Timisoara, Romania: IEEE. https://doi.org/10.1109/SYNASC69064.2025.00008'
chicago: Henzinger, Thomas A. “Neural Certificates.” In Proceedings of the 27th
International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.
IEEE, 2025. https://doi.org/10.1109/SYNASC69064.2025.00008.
ieee: T. A. Henzinger, “Neural Certificates,” in Proceedings of the 27th International
Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Timisoara,
Romania, 2025.
ista: 'Henzinger TA. 2025. Neural Certificates. Proceedings of the 27th International
Symposium on Symbolic and Numeric Algorithms for Scientific Computing. SYNASC:
Symposium on Symbolic and Numeric Algorithms for Scientific Computing.'
mla: Henzinger, Thomas A. “Neural Certificates.” Proceedings of the 27th International
Symposium on Symbolic and Numeric Algorithms for Scientific Computing, IEEE,
2025, doi:10.1109/SYNASC69064.2025.00008.
short: T.A. Henzinger, in:, Proceedings of the 27th International Symposium on Symbolic
and Numeric Algorithms for Scientific Computing, IEEE, 2025.
conference:
end_date: 2025-09-25
location: Timisoara, Romania
name: 'SYNASC: Symposium on Symbolic and Numeric Algorithms for Scientific Computing'
start_date: 2025-09-22
corr_author: '1'
date_created: 2026-05-17T22:02:11Z
date_published: 2025-10-01T00:00:00Z
date_updated: 2026-05-18T08:34:15Z
day: '01'
department:
- _id: ToHe
doi: 10.1109/SYNASC69064.2025.00008
fulldoi: https://doi.org/10.1109/SYNASC69064.2025.00008
language:
- iso: eng
month: '10'
oa_version: None
publication: Proceedings of the 27th International Symposium on Symbolic and Numeric
Algorithms for Scientific Computing
publication_identifier:
eisbn:
- '9798331590116'
eissn:
- 2470-881X
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neural Certificates
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '21920'
abstract:
- lang: eng
text: 'Vertebrates display remarkable diversity of sensorimotor behaviors, each
adapted to distinct ecological and survival demands. This diversity raises fundamental
questions about the evolutionary origin of motor control: do conserved spinal
circuits underlie these behaviors, and how have they diverged across species.
Recent studies detail spinal cell-type architecture in mammals but comparable,
high-resolution atlases of the non-mammalian spinal cord are lacking. Here, we
compare spinal cord cell types between fish, frogs, mice and humans, spanning
∼450 million years of evolution. Across species, we define highly conserved programs
of cell type specification that segregate spinal neurons into nearly identical
cardinal classes during development. This contrasts with adult stages, when spinal
cell-type composition selectively diverges for excitatory neuron subpopulations.
Using spatial transcriptomics, we localize this species divergence to the superficial,
dorsal spinal cord, where variant neuropeptide expression defines mammalian-specific
cell types. The most dorsal spinal cord thus emerges as a recently evolved hub
for sensory integration in mammals, a neospinal cord analogous to the neocortex.'
acknowledgement: "We would like to thank the members of the Sweeney Lab for discussion
and support; Andrey\r\nBydanov for technical assistance with single-cell sequencing
processing; and Jay Bikoff,\r\nNikos Konstantinides, Maria Tosches, and Graziana
Gatto for comments on the manuscript. \r\nThis research was supported by: Horizon
Europe ERC Starting Grant 101041551 (L.B.S,\r\nY.I., S.P.); Special Research Program
(SFB) of the Austrian Science Fund (FWF) F7814-B\r\n(L.B.S., S.P., E.M.T); Austrian
Science Fund (FWF) 10.55776/COE16 (L.B.S., Y.I., E.M.T.);\r\nAustrian Academy of
Sciences DOC Fellowship 27229 (S.P.); ERC Advanced Grant 742046\r\n(E.M.T.); NIH
award R24 OD031956 (L.P.); and in part by the Intramural Research\r\nProgram of
the National Institutes of Health (NIH) through 1ZIA NS003153 to A.J.L.\r\nThe contributions
of the NIH author are considered Works of the United States\r\nGovernment. The findings
and conclusions presented in this paper are those of\r\nthe authors and do not necessarily
reflect the views of the NIH or the U.S. Department\r\nof Health and Human Services. "
article_processing_charge: No
author:
- first_name: Yuri
full_name: Ignatyev, Yuri
last_name: Ignatyev
- first_name: Stavros
full_name: Papadopoulos, Stavros
id: 40606b92-f128-11eb-9611-bf66a98cfa5c
last_name: Papadopoulos
- first_name: Mateja
full_name: Soretić, Mateja
last_name: Soretić
- first_name: Jake
full_name: Yeung, Jake
id: 123012b2-db30-11eb-b4d8-a35840c0551b
last_name: Yeung
orcid: 0000-0003-1732-1559
- first_name: Tzi-Yang
full_name: Lin, Tzi-Yang
last_name: Lin
- first_name: Elly M
full_name: Tanaka, Elly M
last_name: Tanaka
- first_name: Leonid
full_name: Peshkin, Leonid
last_name: Peshkin
- first_name: Ariel J
full_name: Levine, Ariel J
last_name: Levine
- first_name: Mariano I
full_name: Gabitto, Mariano I
last_name: Gabitto
- first_name: Lora Beatrice Jaeger
full_name: Sweeney, Lora Beatrice Jaeger
id: 56BE8254-C4F0-11E9-8E45-0B23E6697425
last_name: Sweeney
orcid: 0000-0001-9242-5601
citation:
ama: Ignatyev Y, Papadopoulos S, Soretić M, et al. Innovations in spinal cord cell
type heterogeneity across vertebrate evolution. bioRxiv. doi:10.1101/2025.10.09.680955
apa: Ignatyev, Y., Papadopoulos, S., Soretić, M., Yeung, J., Lin, T.-Y., Tanaka,
E. M., … Sweeney, L. B. (n.d.). Innovations in spinal cord cell type heterogeneity
across vertebrate evolution. bioRxiv. https://doi.org/10.1101/2025.10.09.680955
chicago: Ignatyev, Yuri, Stavros Papadopoulos, Mateja Soretić, Jake Yeung, Tzi-Yang
Lin, Elly M Tanaka, Leonid Peshkin, Ariel J Levine, Mariano I Gabitto, and Lora
B. Sweeney. “Innovations in Spinal Cord Cell Type Heterogeneity across Vertebrate
Evolution.” BioRxiv, n.d. https://doi.org/10.1101/2025.10.09.680955.
ieee: Y. Ignatyev et al., “Innovations in spinal cord cell type heterogeneity
across vertebrate evolution,” bioRxiv. .
ista: Ignatyev Y, Papadopoulos S, Soretić M, Yeung J, Lin T-Y, Tanaka EM, Peshkin
L, Levine AJ, Gabitto MI, Sweeney LB. Innovations in spinal cord cell type heterogeneity
across vertebrate evolution. bioRxiv, 10.1101/2025.10.09.680955.
mla: Ignatyev, Yuri, et al. “Innovations in Spinal Cord Cell Type Heterogeneity
across Vertebrate Evolution.” BioRxiv, doi:10.1101/2025.10.09.680955.
short: Y. Ignatyev, S. Papadopoulos, M. Soretić, J. Yeung, T.-Y. Lin, E.M. Tanaka,
L. Peshkin, A.J. Levine, M.I. Gabitto, L.B. Sweeney, BioRxiv (n.d.).
corr_author: '1'
date_created: 2026-05-27T06:54:04Z
date_published: 2025-10-11T00:00:00Z
date_updated: 2026-05-27T07:25:41Z
day: '11'
department:
- _id: LoSw
- _id: ScienComp
doi: 10.1101/2025.10.09.680955
fulldoi: https://doi.org/10.1101/2025.10.09.680955
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2025.10.09.680955
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: ebb66355-77a9-11ec-83b8-b8ac210a4dae
grant_number: '101041551'
name: Development and Evolution of Tetrapod Motor Circuits
- _id: 907b765e-16d5-11f0-9cad-fef108a945b1
grant_number: '27229'
name: 'A Tale of Two Circuits: Rostrocaudal spinal cord patterning during the swim-to-limb
transition of Xenopus metamorphosis'
publication: bioRxiv
publication_status: submitted
status: public
title: Innovations in spinal cord cell type heterogeneity across vertebrate evolution
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: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2025'
...
---
OA_place: publisher
OA_type: gold
_id: '14647'
abstract:
- lang: eng
text: "In the developing vertebrate central nervous system, neurons and glia typically
arise\r\nsequentially from common progenitors. Here, we report that the transcription
factor Forkhead\r\nBox G1 (Foxg1) regulates gliogenesis in the mouse neocortex
via distinct cell-autonomous roles in progenitors and postmitotic neurons that
regulate different aspects of the gliogenic FGF signalling pathway. We demonstrate
that loss of Foxg1 in cortical progenitors at neurogenic stages causes premature
astrogliogenesis. We identify a novel FOXG1 target, the pro-gliogenic FGF pathway
component Fgfr3, which is suppressed by FOXG1 cell-autonomously to maintain neurogenesis.
Furthermore, FOXG1 can also suppress premature astrogliogenesis triggered by the
augmentation of FGF signalling. We identify a second novel function of FOXG1 in
regulating the expression of gliogenic cues in newborn neocortical upper-layer
neurons. Loss of FOXG1 in postmitotic neurons non-autonomously enhances gliogenesis
in the progenitors via FGF signalling. These results fit well with the model that
newborn neurons secrete cues that trigger progenitors to produce the next wave
of cell types, astrocytes. If FGF signalling is attenuated in Foxg1 null progenitors,
they progress to oligodendrocyte production. Therefore, loss of FOXG1 transitions
the progenitor to a gliogenic state, producing either astrocytes or oligodendrocytes
depending on FGF signalling levels. Our results uncover how FOXG1 integrates extrinsic
signalling via the FGF pathway to regulate the sequential generation of neurons,
astrocytes, and oligodendrocytes in the cerebral cortex. "
acknowledgement: "We thank the animal house staff of the Tata Institute of Fundamental
Research, Mumbai (TIFR), for their excellent support; Gordon Fishell (Harvard Medical
School, USA), and Goichi Miyoshi (Gunma University, Japan) for the Foxg1 floxed
mouse line; Hiroshi Kawasaki (Kanazawa University, Japan) for the plasmids pCAG-FGF8
and pCAG-sFgfr3c; Soo Kyung Lee (University at Buffalo, The State University of
New York, USA) for the Foxg1lox/lox genotyping primers and protocol. We thank Deepak
Modi and Vainav Patel (National Institute for Research in Reproductive and Child
Health, NIRRCH, Mumbai, India) for the use of the NIRRCH FACS Facility, and the
staff of the NIRRCH and TIFR FACS facilities for their assistance. We thank Denis
Jabaudon (University of Geneva, Switzerland) for his critical comments on the manuscript
and members of the Jabaudon lab for helpful discussions. This work was funded by
the Department of Atomic Energy (DAE), Govt. of India (Project Identification no.
RTI4003,\r\nDAE OM no. 1303/2/2019/R&D-II/DAE/2079). "
article_number: '101851'
article_processing_charge: Yes
article_type: original
author:
- first_name: Mahima
full_name: Bose, Mahima
last_name: Bose
- first_name: Varun
full_name: Suresh, Varun
last_name: Suresh
- first_name: Urvi
full_name: Mishra, Urvi
last_name: Mishra
- first_name: Ishita
full_name: Talwar, Ishita
last_name: Talwar
- first_name: Anuradha
full_name: Yadav, Anuradha
last_name: Yadav
- first_name: Shiona
full_name: Biswas, Shiona
last_name: Biswas
- first_name: Simon
full_name: Hippenmeyer, Simon
id: 37B36620-F248-11E8-B48F-1D18A9856A87
last_name: Hippenmeyer
orcid: 0000-0003-2279-1061
- first_name: Shubha
full_name: Tole, Shubha
last_name: Tole
citation:
ama: Bose M, Suresh V, Mishra U, et al. Dual role of FOXG1 in regulating gliogenesis
in the developing neocortex via the FGF signalling pathway. eLife. 2025;13.
doi:10.7554/elife.101851.3
apa: Bose, M., Suresh, V., Mishra, U., Talwar, I., Yadav, A., Biswas, S., … Tole,
S. (2025). Dual role of FOXG1 in regulating gliogenesis in the developing neocortex
via the FGF signalling pathway. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.101851.3
chicago: Bose, Mahima, Varun Suresh, Urvi Mishra, Ishita Talwar, Anuradha Yadav,
Shiona Biswas, Simon Hippenmeyer, and Shubha Tole. “Dual Role of FOXG1 in Regulating
Gliogenesis in the Developing Neocortex via the FGF Signalling Pathway.” ELife.
eLife Sciences Publications, 2025. https://doi.org/10.7554/elife.101851.3.
ieee: M. Bose et al., “Dual role of FOXG1 in regulating gliogenesis in the
developing neocortex via the FGF signalling pathway,” eLife, vol. 13. eLife
Sciences Publications, 2025.
ista: Bose M, Suresh V, Mishra U, Talwar I, Yadav A, Biswas S, Hippenmeyer S, Tole
S. 2025. Dual role of FOXG1 in regulating gliogenesis in the developing neocortex
via the FGF signalling pathway. eLife. 13, 101851.
mla: Bose, Mahima, et al. “Dual Role of FOXG1 in Regulating Gliogenesis in the Developing
Neocortex via the FGF Signalling Pathway.” ELife, vol. 13, 101851, eLife
Sciences Publications, 2025, doi:10.7554/elife.101851.3.
short: M. Bose, V. Suresh, U. Mishra, I. Talwar, A. Yadav, S. Biswas, S. Hippenmeyer,
S. Tole, ELife 13 (2025).
date_created: 2023-12-06T13:07:01Z
date_published: 2025-03-14T00:00:00Z
date_updated: 2025-05-14T11:41:52Z
day: '14'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.7554/elife.101851.3
external_id:
pmid:
- '40085500'
file:
- access_level: open_access
checksum: 64a6a6f86e24b21fe72c7a7fd6056fed
content_type: application/pdf
creator: dernst
date_created: 2025-04-03T11:19:26Z
date_updated: 2025-04-03T11:19:26Z
file_id: '19467'
file_name: 2025_eLife_Bose.pdf
file_size: 17462771
relation: main_file
success: 1
file_date_updated: 2025-04-03T11:19:26Z
fulldoi: https://doi.org/10.7554/elife.101851.3
has_accepted_license: '1'
intvolume: ' 13'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
publication: eLife
publication_identifier:
eissn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dual role of FOXG1 in regulating gliogenesis in the developing neocortex via
the FGF signalling pathway
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: '2025'
...
---
OA_place: repository
OA_type: green
_id: '15128'
abstract:
- lang: eng
text: We prove a universal mesoscopic central limit theorem for linear eigenvalue
statistics of a Wigner-type matrix inside the bulk of the spectrum with compactly
supported twice continuously differentiable test functions. The main novel ingredient
is an optimal local law for the two-point function $T(z,\zeta)$ and a general
class of related quantities involving two resolvents at nearby spectral parameters.
- lang: fre
text: "On établit un théorème limite central universel pour les statistiques linéaires
mésoscopiques des valeurs propres d’une matrice de type Wigner au milieu du spectre,
avec des fonctions de classe \r\n et à support compact. La principale nouveauté
de cette approche est qu’elle repose sur une loi locale optimale pour la fonction
à deux points $T(z,\\zeta)$ , ainsi que pour une classe plus générale d’observables
impliquant deux résolvantes évaluées en des paramètres proches."
acknowledgement: "I would like to express my gratitude to László Erdős for suggesting
the project and supervising my work. I am also thankful to Yuanyuan Xu and Oleksii
Kolupaiev for many helpful discussions. Furthermore, I am grateful to Guillaume
Dubach for translating the abstract into French.\r\nThe author was supported by
the ERC Advanced Grant “RMTBeyond” No. 101020331."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Volodymyr
full_name: Riabov, Volodymyr
id: 1949f904-edfb-11eb-afb5-e2dfddabb93b
last_name: Riabov
citation:
ama: Riabov V. Mesoscopic eigenvalue statistics for Wigner-type matrices. Annales
de l’institut Henri Poincare (B) Probability and Statistics. 2025;61(1):129-154.
doi:10.1214/23-AIHP1438
apa: Riabov, V. (2025). Mesoscopic eigenvalue statistics for Wigner-type matrices.
Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute
of Mathematical Statistics. https://doi.org/10.1214/23-AIHP1438
chicago: Riabov, Volodymyr. “Mesoscopic Eigenvalue Statistics for Wigner-Type Matrices.”
Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute
of Mathematical Statistics, 2025. https://doi.org/10.1214/23-AIHP1438.
ieee: V. Riabov, “Mesoscopic eigenvalue statistics for Wigner-type matrices,” Annales
de l’institut Henri Poincare (B) Probability and Statistics, vol. 61, no.
1. Institute of Mathematical Statistics, pp. 129–154, 2025.
ista: Riabov V. 2025. Mesoscopic eigenvalue statistics for Wigner-type matrices.
Annales de l’institut Henri Poincare (B) Probability and Statistics. 61(1), 129–154.
mla: Riabov, Volodymyr. “Mesoscopic Eigenvalue Statistics for Wigner-Type Matrices.”
Annales de l’institut Henri Poincare (B) Probability and Statistics, vol.
61, no. 1, Institute of Mathematical Statistics, 2025, pp. 129–54, doi:10.1214/23-AIHP1438.
short: V. Riabov, Annales de l’institut Henri Poincare (B) Probability and Statistics
61 (2025) 129–154.
corr_author: '1'
date_created: 2024-03-20T09:41:04Z
date_published: 2025-02-01T00:00:00Z
date_updated: 2025-05-19T13:54:31Z
day: '01'
department:
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- _id: LaEr
doi: 10.1214/23-AIHP1438
ec_funded: 1
external_id:
arxiv:
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isi:
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fulldoi: https://doi.org/10.1214/23-AIHP1438
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language:
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url: https://doi.org/10.48550/arXiv.2301.01712
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page: 129-154
project:
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call_identifier: H2020
grant_number: '101020331'
name: Random matrices beyond Wigner-Dyson-Mehta
publication: Annales de l'institut Henri Poincare (B) Probability and Statistics
publication_identifier:
issn:
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publication_status: published
publisher: Institute of Mathematical Statistics
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title: Mesoscopic eigenvalue statistics for Wigner-type matrices
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 61
year: '2025'
...