---
_id: '14995'
abstract:
- lang: eng
text: "Lincheck is a new practical and user-friendly framework for testing concurrent
data structures on the Java Virtual Machine (JVM). It provides a simple and declarative
way to write concurrent tests. Instead of describing how to perform the test,
users specify what to test by declaring all the operations to examine; the framework
automatically handles the rest. As a result, tests written with Lincheck are concise
and easy to understand. \r\nThe artifact presents a collection of Lincheck tests
that discover new bugs in popular libraries and implementations from the concurrency
literature -- they are listed in Table 1, Section 3. To evaluate the performance
of Lincheck analysis, the collection of tests also includes those which check
correct data structures and, thus, always succeed. Similarly to Table 2, Section
3, the experiments demonstrate the reasonable time to perform a test. Finally,
Lincheck provides user-friendly output with an easy-to-follow trace to reproduce
a detected error, significantly simplifying further investigation."
article_processing_charge: No
author:
- first_name: Nikita
full_name: Koval, Nikita
id: 2F4DB10C-F248-11E8-B48F-1D18A9856A87
last_name: Koval
- first_name: Alexander
full_name: Fedorov, Alexander
id: 2e711909-896a-11ed-bdf8-eb0f5a2984c6
last_name: Fedorov
- first_name: Maria
full_name: Sokolova, Maria
last_name: Sokolova
- first_name: Dmitry
full_name: Tsitelov, Dmitry
last_name: Tsitelov
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
citation:
ama: 'Koval N, Fedorov A, Sokolova M, Tsitelov D, Alistarh D-A. Lincheck: A practical
framework for testing concurrent data structures on JVM. 2023. doi:10.5281/ZENODO.7877757'
apa: 'Koval, N., Fedorov, A., Sokolova, M., Tsitelov, D., & Alistarh, D.-A.
(2023). Lincheck: A practical framework for testing concurrent data structures
on JVM. Zenodo. https://doi.org/10.5281/ZENODO.7877757'
chicago: 'Koval, Nikita, Alexander Fedorov, Maria Sokolova, Dmitry Tsitelov, and
Dan-Adrian Alistarh. “Lincheck: A Practical Framework for Testing Concurrent Data
Structures on JVM.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7877757.'
ieee: 'N. Koval, A. Fedorov, M. Sokolova, D. Tsitelov, and D.-A. Alistarh, “Lincheck:
A practical framework for testing concurrent data structures on JVM.” Zenodo,
2023.'
ista: 'Koval N, Fedorov A, Sokolova M, Tsitelov D, Alistarh D-A. 2023. Lincheck:
A practical framework for testing concurrent data structures on JVM, Zenodo, 10.5281/ZENODO.7877757.'
mla: 'Koval, Nikita, et al. Lincheck: A Practical Framework for Testing Concurrent
Data Structures on JVM. Zenodo, 2023, doi:10.5281/ZENODO.7877757.'
short: N. Koval, A. Fedorov, M. Sokolova, D. Tsitelov, D.-A. Alistarh, (2023).
date_created: 2024-02-14T15:14:13Z
date_published: 2023-04-28T00:00:00Z
date_updated: 2026-07-07T13:39:35Z
day: '28'
ddc:
- '000'
department:
- _id: DaAl
doi: 10.5281/ZENODO.7877757
fulldoi: https://doi.org/10.5281/ZENODO.7877757
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.7877757
month: '04'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '14260'
relation: used_in_publication
status: public
status: public
title: 'Lincheck: A practical framework for testing concurrent data structures on
JVM'
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12960'
abstract:
- lang: eng
text: "Isomanifolds are the generalization of isosurfaces to arbitrary dimension
and codimension, i.e., submanifolds of Rd defined as the zero set of some multivariate
multivalued smooth function f:Rd→Rd−n, where n is the intrinsic dimension of the
manifold. A natural way to approximate a smooth isomanifold M=f−1(0) is to consider
its piecewise linear (PL) approximation M^\r\n based on a triangulation T of the
ambient space Rd. In this paper, we describe a simple algorithm to trace isomanifolds
from a given starting point. The algorithm works for arbitrary dimensions n and
d, and any precision D. Our main result is that, when f (or M) has bounded complexity,
the complexity of the algorithm is polynomial in d and δ=1/D (and unavoidably
exponential in n). Since it is known that for δ=Ω(d2.5), M^ is O(D2)-close and
isotopic to M\r\n, our algorithm produces a faithful PL-approximation of isomanifolds
of bounded complexity in time polynomial in d. Combining this algorithm with dimensionality
reduction techniques, the dependency on d in the size of M^ can be completely
removed with high probability. We also show that the algorithm can handle isomanifolds
with boundary and, more generally, isostratifolds. The algorithm for isomanifolds
with boundary has been implemented and experimental results are reported, showing
that it is practical and can handle cases that are far ahead of the state-of-the-art. "
acknowledgement: The authors have received funding from the European Research Council
under the European Union's ERC grant greement 339025 GUDHI (Algorithmic Foundations
of Geometric Un-derstanding in Higher Dimensions). The first author was supported by the French government,through
the 3IA C\^ote d'Azur Investments in the Future project managed by the National
ResearchAgency (ANR) with the reference ANR-19-P3IA-0002. The third author was
supported by the Eu-ropean Union's Horizon 2020 research and innovation programme
under the Marie Sk\lodowska-Curiegrant agreement 754411 and the FWF (Austrian Science
Fund) grant M 3073.
article_processing_charge: No
article_type: original
author:
- first_name: Jean Daniel
full_name: Boissonnat, Jean Daniel
last_name: Boissonnat
- first_name: Siargey
full_name: Kachanovich, Siargey
last_name: Kachanovich
- first_name: Mathijs
full_name: Wintraecken, Mathijs
id: 307CFBC8-F248-11E8-B48F-1D18A9856A87
last_name: Wintraecken
orcid: 0000-0002-7472-2220
citation:
ama: Boissonnat JD, Kachanovich S, Wintraecken M. Tracing isomanifolds in Rd in
time polynomial in d using Coxeter–Freudenthal–Kuhn triangulations. SIAM Journal
on Computing. 2023;52(2):452-486. doi:10.1137/21M1412918
apa: Boissonnat, J. D., Kachanovich, S., & Wintraecken, M. (2023). Tracing isomanifolds
in Rd in time polynomial in d using Coxeter–Freudenthal–Kuhn triangulations. SIAM
Journal on Computing. Society for Industrial and Applied Mathematics. https://doi.org/10.1137/21M1412918
chicago: Boissonnat, Jean Daniel, Siargey Kachanovich, and Mathijs Wintraecken.
“Tracing Isomanifolds in Rd in Time Polynomial in d Using Coxeter–Freudenthal–Kuhn
Triangulations.” SIAM Journal on Computing. Society for Industrial and
Applied Mathematics, 2023. https://doi.org/10.1137/21M1412918.
ieee: J. D. Boissonnat, S. Kachanovich, and M. Wintraecken, “Tracing isomanifolds
in Rd in time polynomial in d using Coxeter–Freudenthal–Kuhn triangulations,”
SIAM Journal on Computing, vol. 52, no. 2. Society for Industrial and Applied
Mathematics, pp. 452–486, 2023.
ista: Boissonnat JD, Kachanovich S, Wintraecken M. 2023. Tracing isomanifolds in
Rd in time polynomial in d using Coxeter–Freudenthal–Kuhn triangulations. SIAM
Journal on Computing. 52(2), 452–486.
mla: Boissonnat, Jean Daniel, et al. “Tracing Isomanifolds in Rd in Time Polynomial
in d Using Coxeter–Freudenthal–Kuhn Triangulations.” SIAM Journal on Computing,
vol. 52, no. 2, Society for Industrial and Applied Mathematics, 2023, pp. 452–86,
doi:10.1137/21M1412918.
short: J.D. Boissonnat, S. Kachanovich, M. Wintraecken, SIAM Journal on Computing
52 (2023) 452–486.
corr_author: '1'
date_created: 2023-05-14T22:01:00Z
date_published: 2023-04-30T00:00:00Z
date_updated: 2026-07-07T13:43:40Z
day: '30'
department:
- _id: HeEd
doi: 10.1137/21M1412918
ec_funded: 1
external_id:
isi:
- '001013183000012'
fulldoi: https://doi.org/10.1137/21M1412918
intvolume: ' 52'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hal-emse.ccsd.cnrs.fr/3IA-COTEDAZUR/hal-04083489v1
month: '04'
oa: 1
oa_version: Submitted Version
page: 452-486
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: fc390959-9c52-11eb-aca3-afa58bd282b2
grant_number: M03073
name: Learning and triangulating manifolds via collapses
publication: SIAM Journal on Computing
publication_identifier:
eissn:
- 1095-7111
issn:
- 0097-5397
publication_status: published
publisher: Society for Industrial and Applied Mathematics
quality_controlled: '1'
related_material:
record:
- id: '9441'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Tracing isomanifolds in Rd in time polynomial in d using Coxeter–Freudenthal–Kuhn
triangulations
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 52
year: '2023'
...
---
_id: '14256'
abstract:
- lang: eng
text: "Context. Space asteroseismology is revolutionizing our knowledge of the internal
structure and dynamics of stars. A breakthrough is ongoing with the recent discoveries
of signatures of strong magnetic fields in the core of red giant stars. The key
signature for such a detection is the asymmetry these fields induce in the frequency
splittings of observed dipolar mixed gravito-acoustic modes.\r\nAims. We investigate
the ability of the observed asymmetries of the frequency splittings of dipolar
mixed modes to constrain the geometrical properties of deep magnetic fields.\r\nMethods.
We used the powerful analytical Racah-Wigner algebra used in quantum mechanics
to characterize the geometrical couplings of dipolar mixed oscillation modes with
various realistically plausible topologies of fossil magnetic fields. We also
computed the induced perturbation of their frequencies.\r\nResults. First, in
the case of an oblique magnetic dipole, we provide the exact analytical expression
of the asymmetry as a function of the angle between the rotation and magnetic
axes. Its value provides a direct measure of this angle. Second, considering a
combination of axisymmetric dipolar and quadrupolar fields, we show how the asymmetry
is blind to the unraveling of the relative strength and sign of each component.
Finally, in the case of a given multipole, we show that a negative asymmetry is
a signature of non-axisymmetric topologies.\r\nConclusions. Asymmetries of dipolar
mixed modes provide a key bit of information on the geometrical topology of deep
fossil magnetic fields, but this is insufficient on its own. Asteroseismic constraints
should therefore be combined with spectropolarimetric observations and numerical
simulations, which aim to predict the more probable stable large-scale geometries."
acknowledgement: The authors are grateful to the referee for her/his detailed and
constructive report, which has allowed us to improve our article. S. M. acknowledges
support from the CNES GOLF-SOHO and PLATO grants at CEA/DAp and PNPS (CNRS/INSU).
We thank R. A. Garcia for fruitful discussions and suggestions.
article_number: L9
article_processing_charge: Yes (in subscription journal)
article_type: letter_note
arxiv: 1
author:
- first_name: S.
full_name: Mathis, S.
last_name: Mathis
- first_name: Lisa Annabelle
full_name: Bugnet, Lisa Annabelle
id: d9edb345-f866-11ec-9b37-d119b5234501
last_name: Bugnet
orcid: 0000-0003-0142-4000
citation:
ama: 'Mathis S, Bugnet LA. Asymmetries of frequency splittings of dipolar mixed
modes: A window on the topology of deep magnetic fields. Astronomy & Astrophysics.
2023;676. doi:10.1051/0004-6361/202346832'
apa: 'Mathis, S., & Bugnet, L. A. (2023). Asymmetries of frequency splittings
of dipolar mixed modes: A window on the topology of deep magnetic fields. Astronomy
& Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202346832'
chicago: 'Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings
of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” Astronomy
& Astrophysics. EDP Sciences, 2023. https://doi.org/10.1051/0004-6361/202346832.'
ieee: 'S. Mathis and L. A. Bugnet, “Asymmetries of frequency splittings of dipolar
mixed modes: A window on the topology of deep magnetic fields,” Astronomy &
Astrophysics, vol. 676. EDP Sciences, 2023.'
ista: 'Mathis S, Bugnet LA. 2023. Asymmetries of frequency splittings of dipolar
mixed modes: A window on the topology of deep magnetic fields. Astronomy &
Astrophysics. 676, L9.'
mla: 'Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings
of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” Astronomy
& Astrophysics, vol. 676, L9, EDP Sciences, 2023, doi:10.1051/0004-6361/202346832.'
short: S. Mathis, L.A. Bugnet, Astronomy & Astrophysics 676 (2023).
das_tickbox: '1'
date_created: 2023-09-03T22:01:15Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2026-07-08T06:45:55Z
day: '01'
ddc:
- '520'
department:
- _id: LiBu
doi: 10.1051/0004-6361/202346832
external_id:
arxiv:
- '2306.11587'
isi:
- '001046037700007'
file:
- access_level: open_access
checksum: 7b30d26fb2b7bcb5b5be1414950615f9
content_type: application/pdf
creator: dernst
date_created: 2023-09-06T07:13:19Z
date_updated: 2023-09-06T07:13:19Z
file_id: '14271'
file_name: 2023_AstronomyAstrophysics_Mathis.pdf
file_size: 458120
relation: main_file
success: 1
file_date_updated: 2023-09-06T07:13:19Z
fulldoi: https://doi.org/10.1051/0004-6361/202346832
has_accepted_license: '1'
intvolume: ' 676'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
publication: Astronomy & Astrophysics
publication_identifier:
eissn:
- 1432-0746
issn:
- 0004-6361
publication_status: published
publisher: EDP Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Asymmetries of frequency splittings of dipolar mixed modes: A window on the
topology of deep magnetic fields'
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: 676
year: '2023'
...
---
OA_place: publisher
_id: '14547'
abstract:
- lang: eng
text: "Superconductor-semiconductor heterostructures currently capture a significant
amount of research interest and they serve as the physical platform in many proposals
towards topological quantum computation.\r\nDespite being under extensive investigations,
historically using transport techniques, the basic properties of the interface
between the superconductor and the semiconductor remain to be understood.\r\n\r\nIn
this thesis, two separate studies on the Al-InAs heterostructures are reported
with the first focusing on the physics of the material motivated by the emergence
of a new phase, the Bogoliubov-Fermi surface. \r\nThe second focuses on a technological
application, a gate-tunable Josephson parametric amplifier.\r\n\r\nIn the first
study, we investigate the hypothesized unconventional nature of the induced superconductivity
at the interface between the Al thin film and the InAs quantum well.\r\nWe embed
a two-dimensional Al-InAs hybrid system in a resonant microwave circuit allowing
measurements of change in inductance.\r\nThe behaviour of the resonance in a range
of temperature and in-plane magnetic field has been studied and compared with
the theory of conventional s-wave superconductor and a two-component theory that
includes both contribution of the $s$-wave pairing in Al and the intraband $p
\\pm ip$ pairing in InAs.\r\nMeasuring the temperature dependence of resonant
frequency, no discrepancy is found between data and the conventional theory.\r\nWe
observe the breakdown of superconductivity due to an applied magnetic field which
contradicts the conventional theory.\r\nIn contrast, the data can be captured
quantitatively by fitting to a two-component model.\r\nWe find the evidence of
the intraband $p \\pm ip$ pairing in the InAs and the emergence of the Bogoliubov-Fermi
surfaces due to magnetic field with the characteristic value $B^* = 0.33~\\mathrm{T}$.\r\nFrom
the fits, the sheet resistance of Al, the carrier density and mobility in InAs
are determined.\r\nBy systematically studying the anisotropy of the circuit response,
we find weak anisotropy for $B < B^*$ and increasingly strong anisotropy for $B
> B^*$ resulting in a pronounced two-lobe structure in polar plot of frequency
versus field angle.\r\nStrong resemblance between the field dependence of dissipation
and superfluid density hints at a hidden signature of the Bogoliubov-Fermi surface
that is burried in the dissipation data.\r\n\r\nIn the second study, we realize
a parametric amplifier with a Josephson field effect transistor as the active
element.\r\nThe device's modest construction consists of a gated SNS weak link
embedded at the center of a coplanar waveguide resonator.\r\nBy applying a gate
voltage, the resonant frequency is field-effect tunable over a range of 2 GHz.\r\nModelling
the JoFET minimally as a parallel RL circuit, the dissipation introduced by the
JoFET can be quantitatively related to the gate voltage.\r\nWe observed gate-tunable
Kerr nonlinearity qualitatively in line with expectation.\r\nThe JoFET amplifier
has 20 dB of gain, 4 MHz of instantaneous bandwidth, and a 1dB compression point
of -125.5 dBm when operated at a fixed resonant frequency.\r\nIn general, the
signal-to-noise ratio is improved by 5-7 dB when the JoFET amplifier is activated
compared.\r\nThe noise of the measurement chain and insertion loss of relevant
circuit elements are calibrated to determine the expected and the real noise performance
of the JoFET amplifier.\r\nAs a quantification of the noise performance, the measured
total input-referred noise of the JoFET amplifier is in good agreement with the
estimated expectation which takes device loss into account.\r\nWe found that the
noise performance of the device reported in this document approaches one photon
of total input-referred added noise which is the quantum limit imposed in nondegenerate
parametric amplifier."
acknowledged_ssus:
- _id: NanoFab
- _id: Bio
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Duc T
full_name: Phan, Duc T
id: 29C8C0B4-F248-11E8-B48F-1D18A9856A87
last_name: Phan
citation:
ama: Phan DT. Resonant microwave spectroscopy of Al-InAs. 2023. doi:10.15479/14547
apa: Phan, D. T. (2023). Resonant microwave spectroscopy of Al-InAs. Institute
of Science and Technology Austria. https://doi.org/10.15479/14547
chicago: Phan, Duc T. “Resonant Microwave Spectroscopy of Al-InAs.” Institute of
Science and Technology Austria, 2023. https://doi.org/10.15479/14547.
ieee: D. T. Phan, “Resonant microwave spectroscopy of Al-InAs,” Institute of Science
and Technology Austria, 2023.
ista: Phan DT. 2023. Resonant microwave spectroscopy of Al-InAs. Institute of Science
and Technology Austria.
mla: Phan, Duc T. Resonant Microwave Spectroscopy of Al-InAs. Institute of
Science and Technology Austria, 2023, doi:10.15479/14547.
short: D.T. Phan, Resonant Microwave Spectroscopy of Al-InAs, Institute of Science
and Technology Austria, 2023.
corr_author: '1'
date_created: 2023-11-17T13:45:26Z
date_published: 2023-11-16T00:00:00Z
date_updated: 2026-07-08T08:38:43Z
day: '16'
ddc:
- '530'
degree_awarded: PhD
department:
- _id: GradSch
- _id: AnHi
doi: 10.15479/14547
file:
- access_level: open_access
checksum: db0c37d213bc002125bd59690e9db246
content_type: application/pdf
creator: pduc
date_created: 2023-11-17T13:36:44Z
date_updated: 2023-11-22T09:46:06Z
file_id: '14548'
file_name: Phan_Thesis_pdfa.pdf
file_size: 34828019
relation: main_file
- access_level: closed
checksum: 8d3bd6afa279a0078ffd13e06bb6d56d
content_type: application/zip
creator: pduc
date_created: 2023-11-17T13:44:53Z
date_updated: 2023-11-17T13:47:54Z
file_id: '14549'
file_name: dissertation_src.zip
file_size: 279319709
relation: source_file
file_date_updated: 2023-11-22T09:46:06Z
fulldoi: https://doi.org/10.15479/14547
has_accepted_license: '1'
keyword:
- superconductor-semiconductor
- superconductivity
- Al
- InAs
- p-wave
- superconductivity
- JPA
- microwave
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: '80'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '10851'
relation: part_of_dissertation
status: public
- id: '13264'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Andrew P
full_name: Higginbotham, Andrew P
id: 4AD6785A-F248-11E8-B48F-1D18A9856A87
last_name: Higginbotham
orcid: 0000-0003-2607-2363
title: Resonant microwave spectroscopy of Al-InAs
tmp:
image: /images/cc_by_nc_sa.png
legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
BY-NC-SA 4.0)
short: CC BY-NC-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2023'
...
---
_id: '14749'
abstract:
- lang: eng
text: We unveil a powerful method for the stabilization of laser injection locking
based on sensing variations in the output beam ellipticity of an optically seeded
laser. The effect arises due to an interference between the seeding beam and the
injected laser output. We demonstrate the method for a commercial semiconductor
laser without the need for any internal changes to the readily operational injection
locked laser system that was used. The method can also be used to increase the
mode-hop free tuning range of lasers, and has the potential to fill a void in
the low-noise laser industry.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Umang
full_name: Mishra, Umang
id: 4328fa4c-f128-11eb-9611-c107b0fe4d51
last_name: Mishra
- first_name: Vyacheslav
full_name: Li, Vyacheslav
id: 3A4FAA92-F248-11E8-B48F-1D18A9856A87
last_name: Li
- first_name: Sebastian
full_name: Wald, Sebastian
id: 133F200A-B015-11E9-AD41-0EDAE5697425
last_name: Wald
orcid: 0000-0002-5869-1604
- first_name: Sofya
full_name: Agafonova, Sofya
id: 09501ff6-dca7-11ea-a8ae-b3e0b9166e80
last_name: Agafonova
orcid: 0000-0003-0582-2946
- first_name: Fritz R
full_name: Diorico, Fritz R
id: 2E054C4C-F248-11E8-B48F-1D18A9856A87
last_name: Diorico
orcid: 0000-0002-4947-8924
- first_name: Onur
full_name: Hosten, Onur
id: 4C02D85E-F248-11E8-B48F-1D18A9856A87
last_name: Hosten
orcid: 0000-0002-2031-204X
citation:
ama: Mishra U, Li V, Wald S, Agafonova S, Diorico FR, Hosten O. Monitoring and active
stabilization of laser injection locking using beam ellipticity. Optics Letters.
2023;48(15):3973-3976. doi:10.1364/ol.495553
apa: Mishra, U., Li, V., Wald, S., Agafonova, S., Diorico, F. R., & Hosten,
O. (2023). Monitoring and active stabilization of laser injection locking using
beam ellipticity. Optics Letters. Optica Publishing Group. https://doi.org/10.1364/ol.495553
chicago: Mishra, Umang, Vyacheslav Li, Sebastian Wald, Sofia Agafonova, Fritz R
Diorico, and Onur Hosten. “Monitoring and Active Stabilization of Laser Injection
Locking Using Beam Ellipticity.” Optics Letters. Optica Publishing Group,
2023. https://doi.org/10.1364/ol.495553.
ieee: U. Mishra, V. Li, S. Wald, S. Agafonova, F. R. Diorico, and O. Hosten, “Monitoring
and active stabilization of laser injection locking using beam ellipticity,” Optics
Letters, vol. 48, no. 15. Optica Publishing Group, pp. 3973–3976, 2023.
ista: Mishra U, Li V, Wald S, Agafonova S, Diorico FR, Hosten O. 2023. Monitoring
and active stabilization of laser injection locking using beam ellipticity. Optics
Letters. 48(15), 3973–3976.
mla: Mishra, Umang, et al. “Monitoring and Active Stabilization of Laser Injection
Locking Using Beam Ellipticity.” Optics Letters, vol. 48, no. 15, Optica
Publishing Group, 2023, pp. 3973–76, doi:10.1364/ol.495553.
short: U. Mishra, V. Li, S. Wald, S. Agafonova, F.R. Diorico, O. Hosten, Optics
Letters 48 (2023) 3973–3976.
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: Data underlying the results presented in this paper are
not publicly available at this time but may be obtained from the authors upon reasonable
request.
date_created: 2024-01-08T13:01:46Z
date_published: 2023-07-21T00:00:00Z
date_updated: 2026-07-08T08:41:47Z
day: '21'
department:
- _id: OnHo
doi: 10.1364/ol.495553
external_id:
arxiv:
- '2212.01266'
isi:
- '001051044600008'
fulldoi: https://doi.org/10.1364/ol.495553
intvolume: ' 48'
isi: 1
issue: '15'
keyword:
- Atomic and Molecular Physics
- and Optics
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2212.01266
month: '07'
oa: 1
oa_version: Preprint
page: 3973-3976
publication: Optics Letters
publication_identifier:
eissn:
- 1539-4794
issn:
- 0146-9592
publication_status: published
publisher: Optica Publishing Group
quality_controlled: '1'
researchdata_availability: upon request
scopus_import: '1'
status: public
supplementarymaterial: no
title: Monitoring and active stabilization of laser injection locking using beam ellipticity
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 48
year: '2023'
...
---
_id: '13233'
abstract:
- lang: eng
text: We study the impact of finite-range physics on the zero-range-model analysis
of three-body recombination in ultracold atoms. We find that temperature dependence
of the zero-range parameters can vary from one set of measurements to another
as it may be driven by the distribution of error bars in the experiment, and not
by the underlying three-body physics. To study finite-temperature effects in three-body
recombination beyond the zero-range physics, we introduce and examine a finite-range
model based upon a hyperspherical formalism. The systematic error discussed in
this Letter may provide a significant contribution to the error bars of measured
three-body parameters.
acknowledgement: We thank Jan Arlt, Hans-Werner Hammer, and Karsten Riisager for useful
discussions. M.L. acknowledges support by the European Research Council (ERC) Starting
Grant No. 801770 (ANGULON).
article_number: L061304
article_processing_charge: No
article_type: letter_note
arxiv: 1
author:
- first_name: Sofya
full_name: Agafonova, Sofya
id: 09501ff6-dca7-11ea-a8ae-b3e0b9166e80
last_name: Agafonova
orcid: 0000-0003-0582-2946
- first_name: Mikhail
full_name: Lemeshko, Mikhail
id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
last_name: Lemeshko
orcid: 0000-0002-6990-7802
- first_name: Artem
full_name: Volosniev, Artem
id: 37D278BC-F248-11E8-B48F-1D18A9856A87
last_name: Volosniev
orcid: 0000-0003-0393-5525
citation:
ama: Agafonova S, Lemeshko M, Volosniev A. Finite-range bias in fitting three-body
loss to the zero-range model. Physical Review A. 2023;107(6). doi:10.1103/PhysRevA.107.L061304
apa: Agafonova, S., Lemeshko, M., & Volosniev, A. (2023). Finite-range bias
in fitting three-body loss to the zero-range model. Physical Review A.
American Physical Society. https://doi.org/10.1103/PhysRevA.107.L061304
chicago: Agafonova, Sofia, Mikhail Lemeshko, and Artem Volosniev. “Finite-Range
Bias in Fitting Three-Body Loss to the Zero-Range Model.” Physical Review A.
American Physical Society, 2023. https://doi.org/10.1103/PhysRevA.107.L061304.
ieee: S. Agafonova, M. Lemeshko, and A. Volosniev, “Finite-range bias in fitting
three-body loss to the zero-range model,” Physical Review A, vol. 107,
no. 6. American Physical Society, 2023.
ista: Agafonova S, Lemeshko M, Volosniev A. 2023. Finite-range bias in fitting three-body
loss to the zero-range model. Physical Review A. 107(6), L061304.
mla: Agafonova, Sofia, et al. “Finite-Range Bias in Fitting Three-Body Loss to the
Zero-Range Model.” Physical Review A, vol. 107, no. 6, L061304, American
Physical Society, 2023, doi:10.1103/PhysRevA.107.L061304.
short: S. Agafonova, M. Lemeshko, A. Volosniev, Physical Review A 107 (2023).
corr_author: '1'
das_tickbox: '0'
date_created: 2023-07-16T22:01:10Z
date_published: 2023-06-20T00:00:00Z
date_updated: 2026-07-08T08:30:05Z
day: '20'
department:
- _id: MiLe
- _id: OnHo
doi: 10.1103/PhysRevA.107.L061304
ec_funded: 1
external_id:
arxiv:
- '2302.01022'
isi:
- '001019748000005'
fulldoi: https://doi.org/10.1103/PhysRevA.107.L061304
intvolume: ' 107'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2302.01022
month: '06'
oa: 1
oa_version: Preprint
project:
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '801770'
name: 'Angulon: physics and applications of a new quasiparticle'
publication: Physical Review A
publication_identifier:
eissn:
- 2469-9934
issn:
- 2469-9926
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Finite-range bias in fitting three-body loss to the zero-range model
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 107
year: '2023'
...
---
_id: '13264'
abstract:
- lang: eng
text: "We build a parametric amplifier with a Josephson field-effect transistor
(JoFET) as the active element. The resonant frequency of the device is field-effect
tunable over a range of 2 GHz. The JoFET amplifier has 20 dB of gain, 4 MHz of
instantaneous bandwidth, and a 1-dB compression point of -125.5 dBm when operated
at a fixed resonance frequency.\r\n\r\n"
acknowledged_ssus:
- _id: NanoFab
- _id: M-Shop
acknowledgement: We thank Shyam Shankar for helpful feedback on the manuscript. We
gratefully acknowledge the support of the ISTA nanofabrication facility, the Miba
Machine Shop, and the eMachine Shop. The NYU team acknowledges support from Army
Research Office Grant No. W911NF2110303.
article_number: '064032'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Duc T
full_name: Phan, Duc T
id: 29C8C0B4-F248-11E8-B48F-1D18A9856A87
last_name: Phan
- first_name: Paul
full_name: Falthansl-Scheinecker, Paul
id: 85b43b21-15b2-11ec-abd3-e2c252cc2285
last_name: Falthansl-Scheinecker
- first_name: Umang
full_name: Mishra, Umang
id: 4328fa4c-f128-11eb-9611-c107b0fe4d51
last_name: Mishra
- first_name: W. M.
full_name: Strickland, W. M.
last_name: Strickland
- first_name: D.
full_name: Langone, D.
last_name: Langone
- first_name: J.
full_name: Shabani, J.
last_name: Shabani
- first_name: Andrew P
full_name: Higginbotham, Andrew P
id: 4AD6785A-F248-11E8-B48F-1D18A9856A87
last_name: Higginbotham
orcid: 0000-0003-2607-2363
citation:
ama: Phan DT, Falthansl-Scheinecker P, Mishra U, et al. Gate-tunable superconductor-semiconductor
parametric amplifier. Physical Review Applied. 2023;19(6). doi:10.1103/PhysRevApplied.19.064032
apa: Phan, D. T., Falthansl-Scheinecker, P., Mishra, U., Strickland, W. M., Langone,
D., Shabani, J., & Higginbotham, A. P. (2023). Gate-tunable superconductor-semiconductor
parametric amplifier. Physical Review Applied. American Physical Society.
https://doi.org/10.1103/PhysRevApplied.19.064032
chicago: Phan, Duc T, Paul Falthansl-Scheinecker, Umang Mishra, W. M. Strickland,
D. Langone, J. Shabani, and Andrew P Higginbotham. “Gate-Tunable Superconductor-Semiconductor
Parametric Amplifier.” Physical Review Applied. American Physical Society,
2023. https://doi.org/10.1103/PhysRevApplied.19.064032.
ieee: D. T. Phan et al., “Gate-tunable superconductor-semiconductor parametric
amplifier,” Physical Review Applied, vol. 19, no. 6. American Physical
Society, 2023.
ista: Phan DT, Falthansl-Scheinecker P, Mishra U, Strickland WM, Langone D, Shabani
J, Higginbotham AP. 2023. Gate-tunable superconductor-semiconductor parametric
amplifier. Physical Review Applied. 19(6), 064032.
mla: Phan, Duc T., et al. “Gate-Tunable Superconductor-Semiconductor Parametric
Amplifier.” Physical Review Applied, vol. 19, no. 6, 064032, American Physical
Society, 2023, doi:10.1103/PhysRevApplied.19.064032.
short: D.T. Phan, P. Falthansl-Scheinecker, U. Mishra, W.M. Strickland, D. Langone,
J. Shabani, A.P. Higginbotham, Physical Review Applied 19 (2023).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The raw data and the plotting code are available in the
Supplemental Material at http://link.aps.org/supplemental/10.1103/PhysRevApplied.19.064032.
Further data are available upon reasonable request.
date_created: 2023-07-23T22:01:12Z
date_published: 2023-06-09T00:00:00Z
date_updated: 2026-07-08T08:38:44Z
day: '09'
department:
- _id: AnHi
- _id: OnHo
doi: 10.1103/PhysRevApplied.19.064032
external_id:
arxiv:
- '2206.05746'
isi:
- '001012022600004'
fulldoi: https://doi.org/10.1103/PhysRevApplied.19.064032
intvolume: ' 19'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2206.05746
month: '06'
oa: 1
oa_version: Preprint
publication: Physical Review Applied
publication_identifier:
eissn:
- 2331-7019
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
record:
- id: '14547'
relation: dissertation_contains
status: public
researchdata_availability: yes (supplementary data)
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Gate-tunable superconductor-semiconductor parametric amplifier
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 19
year: '2023'
...
---
OA_place: publisher
_id: '14641'
abstract:
- lang: eng
text: "Mutation rates represent the net result of complex interactions among various\r\ncellular
processes and can dramatically influence the evolutionary fate of\r\nmicrobial
populations. However, many popular techniques used to study\r\nmutations are subject
to the confounding effects of heredity and the subtleties\r\nof adaptation to
selection, all of which make it difficult to observe any dynamic\r\nresponses
of mutation rates to fitness challenges. Furthermore, in spite of the\r\nubiquity
of quorum sensing systems across the bacterial domain and relevance\r\nfor many
physiological behaviors, the effects of such mechanisms on mutation\r\nrate and
adaptation remain poorly understood. In the following work, I\r\npresent the development
of a microfluidic droplet-based method to measure\r\nsingle base-pair mutation
rates in growing populations of the bacterium\r\nEscherichia coli. I use this
method to observe a stress-induced increase in\r\nmutation rate that is mediated
by luxS, a highly conserved bacterial quorum\r\nsensing component. I also show
that the aforementioned increase in mutation\r\nrate, and its associated control
by luxS, corresponds to a higher degree of\r\nadaptability under competitive environments."
acknowledged_ssus:
- _id: LifeSc
- _id: Bio
- _id: CampIT
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mike
full_name: Hennessey-Wesen, Mike
id: 3F338C72-F248-11E8-B48F-1D18A9856A87
last_name: Hennessey-Wesen
citation:
ama: Hennessey-Wesen M. Adaptive mutation in E. coli modulated by luxS. 2023. doi:10.15479/at:ista:14641
apa: Hennessey-Wesen, M. (2023). Adaptive mutation in E. coli modulated by luxS.
Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14641
chicago: Hennessey-Wesen, Mike. “Adaptive Mutation in E. Coli Modulated by LuxS.”
Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:14641.
ieee: M. Hennessey-Wesen, “Adaptive mutation in E. coli modulated by luxS,” Institute
of Science and Technology Austria, 2023.
ista: Hennessey-Wesen M. 2023. Adaptive mutation in E. coli modulated by luxS. Institute
of Science and Technology Austria.
mla: Hennessey-Wesen, Mike. Adaptive Mutation in E. Coli Modulated by LuxS.
Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:14641.
short: M. Hennessey-Wesen, Adaptive Mutation in E. Coli Modulated by LuxS, Institute
of Science and Technology Austria, 2023.
corr_author: '1'
das_tickbox: '1'
date_created: 2023-12-04T13:17:37Z
date_published: 2023-11-30T00:00:00Z
date_updated: 2026-07-13T10:55:56Z
day: '30'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: BjHo
doi: 10.15479/at:ista:14641
doi_confirm: '1'
ec_funded: 1
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file_size: 45847968
relation: other
title: Print version
file_date_updated: 2026-07-13T10:55:56Z
fulldoi: https://doi.org/10.15479/at:ista:14641
has_accepted_license: '1'
keyword:
- microfluidics
- miceobiology
- mutations
- quorum sensing
language:
- iso: eng
month: '11'
oa_version: Published Version
page: '104'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Björn
full_name: Hof, Björn
id: 3A374330-F248-11E8-B48F-1D18A9856A87
last_name: Hof
orcid: 0000-0003-2057-2754
title: Adaptive mutation in E. coli modulated by luxS
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
OA_place: publisher
OA_type: hybrid
_id: '14666'
abstract:
- lang: eng
text: So-called spontaneous activity is a central hallmark of most nervous systems.
Such non-causal firing is contrary to the tenet of spikes as a means of communication,
and its purpose remains unclear. We propose that self-initiated firing can serve
as a release valve to protect neurons from the toxic conditions arising in mitochondria
from lower-than-baseline energy consumption. To demonstrate the viability of our
hypothesis, we built a set of models that incorporate recent experimental results
indicating homeostatic control of metabolic products—Adenosine triphosphate (ATP),
adenosine diphosphate (ADP), and reactive oxygen species (ROS)—by changes in firing.
We explore the relationship of metabolic cost of spiking with its effect on the
temporal patterning of spikes and reproduce experimentally observed changes in
intrinsic firing in the fruitfly dorsal fan-shaped body neuron in a model with
ROS-modulated potassium channels. We also show that metabolic spiking homeostasis
can produce indefinitely sustained avalanche dynamics in cortical circuits. Our
theory can account for key features of neuronal activity observed in many studies
ranging from ion channel function all the way to resting state dynamics. We finish
with a set of experimental predictions that would confirm an integrated, crucial
role for metabolically regulated spiking and firmly link metabolic homeostasis
and neuronal function.
acknowledgement: We thank Prof. C. Nazaret and Prof. J.-P. Mazat for sharing the code
of their mitochondrial model. We also thank G. Miesenböck, E. Marder, L. Abbott,
A. Kempf, P. Hasenhuetl, W. Podlaski, F. Zenke, E. Agnes, P. Bozelos, J. Watson,
B. Confavreux, and G. Christodoulou, and the rest of the Vogels Lab for their feedback.
This work was funded by Wellcome Trust and Royal Society Sir Henry Dale Research
Fellowship (WT100000), a Wellcome Trust Senior Research Fellowship (214316/Z/18/Z),
and a UK Research and Innovation, Biotechnology and Biological Sciences Research
Council grant (UKRI-BBSRC BB/N019512/1).
article_number: e2306525120
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Chaitanya
full_name: Chintaluri, Chaitanya
id: BA06AFEE-A4BA-11EA-AE5C-14673DDC885E
last_name: Chintaluri
orcid: 0000-0003-4252-1608
- first_name: Tim P
full_name: Vogels, Tim P
id: CB6FF8D2-008F-11EA-8E08-2637E6697425
last_name: Vogels
orcid: 0000-0003-3295-6181
citation:
ama: Chintaluri C, Vogels TP. Metabolically regulated spiking could serve neuronal
energy homeostasis and protect from reactive oxygen species. Proceedings of
the National Academy of Sciences of the United States of America. 2023;120(48).
doi:10.1073/pnas.2306525120
apa: Chintaluri, C., & Vogels, T. P. (2023). Metabolically regulated spiking
could serve neuronal energy homeostasis and protect from reactive oxygen species.
Proceedings of the National Academy of Sciences of the United States of America.
National Academy of Sciences. https://doi.org/10.1073/pnas.2306525120
chicago: Chintaluri, Chaitanya, and Tim P Vogels. “Metabolically Regulated Spiking
Could Serve Neuronal Energy Homeostasis and Protect from Reactive Oxygen Species.”
Proceedings of the National Academy of Sciences of the United States of America.
National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2306525120.
ieee: C. Chintaluri and T. P. Vogels, “Metabolically regulated spiking could serve
neuronal energy homeostasis and protect from reactive oxygen species,” Proceedings
of the National Academy of Sciences of the United States of America, vol.
120, no. 48. National Academy of Sciences, 2023.
ista: Chintaluri C, Vogels TP. 2023. Metabolically regulated spiking could serve
neuronal energy homeostasis and protect from reactive oxygen species. Proceedings
of the National Academy of Sciences of the United States of America. 120(48),
e2306525120.
mla: Chintaluri, Chaitanya, and Tim P. Vogels. “Metabolically Regulated Spiking
Could Serve Neuronal Energy Homeostasis and Protect from Reactive Oxygen Species.”
Proceedings of the National Academy of Sciences of the United States of America,
vol. 120, no. 48, e2306525120, National Academy of Sciences, 2023, doi:10.1073/pnas.2306525120.
short: C. Chintaluri, T.P. Vogels, Proceedings of the National Academy of Sciences
of the United States of America 120 (2023).
corr_author: '1'
das_tickbox: '1'
date_created: 2023-12-10T23:01:00Z
date_published: 2023-11-21T00:00:00Z
date_updated: 2026-07-13T12:30:49Z
day: '21'
ddc:
- '570'
department:
- _id: TiVo
doi: 10.1073/pnas.2306525120
external_id:
isi:
- '001157389000005'
pmid:
- '37988463'
file:
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checksum: bf4ec38602a70dae4338077a5a4d497f
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creator: dernst
date_created: 2023-12-11T12:45:12Z
date_updated: 2023-12-11T12:45:12Z
file_id: '14678'
file_name: 2023_PNAS_Chintaluri.pdf
file_size: 16891602
relation: main_file
success: 1
file_date_updated: 2023-12-11T12:45:12Z
fulldoi: https://doi.org/10.1073/pnas.2306525120
has_accepted_license: '1'
intvolume: ' 120'
isi: 1
issue: '48'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
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project:
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grant_number: 214316/Z/18/Z
name: What’s in a memory? Spatiotemporal dynamics in strongly coupled recurrent
neuronal networks.
publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/ccluri/metabolic_spiking
scopus_import: '1'
status: public
title: Metabolically regulated spiking could serve neuronal energy homeostasis and
protect from reactive oxygen species
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: 120
year: '2023'
...
---
_id: '12675'
abstract:
- lang: eng
text: Aromatic side chains are important reporters of the plasticity of proteins,
and often form important contacts in protein--protein interactions. By studying
a pair of structurally homologous cross-β amyloid fibrils, HET-s and HELLF, with
a specific isotope-labeling approach and magic-angle-spinning (MAS) NMR, we have
characterized the dynamic behavior of Phe and Tyr aromatic rings to show that
the hydrophobic amyloid core is rigid, without any sign of "breathing motions"
over hundreds of milliseconds at least. Aromatic residues exposed at the fibril
surface have a rigid ring axis but undergo ring flips, on a variety of time scales
from ns to µs. Our approach provides direct insight into hydrophobic-core motions,
enabling a better evaluation of the conformational heterogeneity generated from
a NMR structural ensemble of such amyloid cross-β architecture.
acknowledgement: We thank AlbertA. Smith (Leipzig)for insightful discussions. This
work was supported by funding from the European Research Council (StG-2012-311318
to P.S.) and used the platforms of the Grenoble Instruct-ERIC center (ISBG;UMS 3518
CNRS-CEA-UJF-EMBL) within the Grenoble Partnership for Structural Biology(PSB) and
facilities and expertiseof the Biophysical and Structural Chemistry platform (BPCS)
at IECB,CNRSUAR3033,INSERMUS001 and Bordeaux University.
article_number: e202219314
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Lea Marie
full_name: Becker, Lea Marie
id: 36336939-eb97-11eb-a6c2-c83f1214ca79
last_name: Becker
orcid: 0000-0002-6401-5151
- first_name: Mélanie
full_name: Berbon, Mélanie
last_name: Berbon
- first_name: Alicia
full_name: Vallet, Alicia
last_name: Vallet
- first_name: Axelle
full_name: Grelard, Axelle
last_name: Grelard
- first_name: Estelle
full_name: Morvan, Estelle
last_name: Morvan
- first_name: Benjamin
full_name: Bardiaux, Benjamin
last_name: Bardiaux
- first_name: Roman
full_name: Lichtenecker, Roman
last_name: Lichtenecker
- first_name: Matthias
full_name: Ernst, Matthias
last_name: Ernst
- first_name: Antoine
full_name: Loquet, Antoine
last_name: Loquet
- first_name: Paul
full_name: Schanda, Paul
id: 7B541462-FAF6-11E9-A490-E8DFE5697425
last_name: Schanda
orcid: 0000-0002-9350-7606
citation:
ama: Becker LM, Berbon M, Vallet A, et al. The rigid core and flexible surface of
amyloid fibrils probed by Magic‐Angle Spinning NMR of aromatic residues. Angewandte
Chemie International Edition. 2023;62(19). doi:10.1002/anie.202219314
apa: Becker, L. M., Berbon, M., Vallet, A., Grelard, A., Morvan, E., Bardiaux, B.,
… Schanda, P. (2023). The rigid core and flexible surface of amyloid fibrils probed
by Magic‐Angle Spinning NMR of aromatic residues. Angewandte Chemie International
Edition. Wiley. https://doi.org/10.1002/anie.202219314
chicago: Becker, Lea Marie, Mélanie Berbon, Alicia Vallet, Axelle Grelard, Estelle
Morvan, Benjamin Bardiaux, Roman Lichtenecker, Matthias Ernst, Antoine Loquet,
and Paul Schanda. “The Rigid Core and Flexible Surface of Amyloid Fibrils Probed
by Magic‐Angle Spinning NMR of Aromatic Residues.” Angewandte Chemie International
Edition. Wiley, 2023. https://doi.org/10.1002/anie.202219314.
ieee: L. M. Becker et al., “The rigid core and flexible surface of amyloid
fibrils probed by Magic‐Angle Spinning NMR of aromatic residues,” Angewandte
Chemie International Edition, vol. 62, no. 19. Wiley, 2023.
ista: Becker LM, Berbon M, Vallet A, Grelard A, Morvan E, Bardiaux B, Lichtenecker
R, Ernst M, Loquet A, Schanda P. 2023. The rigid core and flexible surface of
amyloid fibrils probed by Magic‐Angle Spinning NMR of aromatic residues. Angewandte
Chemie International Edition. 62(19), e202219314.
mla: Becker, Lea Marie, et al. “The Rigid Core and Flexible Surface of Amyloid Fibrils
Probed by Magic‐Angle Spinning NMR of Aromatic Residues.” Angewandte Chemie
International Edition, vol. 62, no. 19, e202219314, Wiley, 2023, doi:10.1002/anie.202219314.
short: L.M. Becker, M. Berbon, A. Vallet, A. Grelard, E. Morvan, B. Bardiaux, R.
Lichtenecker, M. Ernst, A. Loquet, P. Schanda, Angewandte Chemie International
Edition 62 (2023).
corr_author: '1'
date_created: 2023-02-24T10:45:01Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2026-07-20T09:49:12Z
day: '01'
ddc:
- '540'
department:
- _id: GradSch
- _id: PaSc
doi: 10.1002/anie.202219314
external_id:
isi:
- '000956919900001'
pmid:
- '36738230'
file:
- access_level: open_access
checksum: 7dd083ed8850faa55c34e411ed390de9
content_type: application/pdf
creator: dernst
date_created: 2023-08-16T12:33:31Z
date_updated: 2023-08-16T12:33:31Z
file_id: '14072'
file_name: 2023_AngewChemInt_Becker.pdf
file_size: 1422445
relation: main_file
success: 1
file_date_updated: 2023-08-16T12:33:31Z
fulldoi: https://doi.org/10.1002/anie.202219314
has_accepted_license: '1'
intvolume: ' 62'
isi: 1
issue: '19'
keyword:
- General Chemistry
- Catalysis
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
publication: Angewandte Chemie International Edition
publication_identifier:
eissn:
- 1521-3773
issn:
- 1433-7851
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/dancing-styles-of-atoms/
record:
- id: '12497'
relation: research_data
status: public
- id: '14861'
relation: other
status: public
- id: '22334'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: The rigid core and flexible surface of amyloid fibrils probed by Magic‐Angle
Spinning NMR of aromatic residues
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: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 62
year: '2023'
...
---
_id: '12114'
abstract:
- lang: eng
text: 'Probing the dynamics of aromatic side chains provides important insights
into the behavior of a protein because flips of aromatic rings in a protein’s
hydrophobic core report on breathing motion involving a large part of the protein.
Inherently invisible to crystallography, aromatic motions have been primarily
studied by solution NMR. The question how packing of proteins in crystals affects
ring flips has, thus, remained largely unexplored. Here we apply magic-angle spinning
NMR, advanced phenylalanine 1H-13C/2H isotope labeling and MD simulation to a
protein in three different crystal packing environments to shed light onto possible
impact of packing on ring flips. The flips of the two Phe residues in ubiquitin,
both surface exposed, appear remarkably conserved in the different crystal forms,
even though the intermolecular packing is quite different: Phe4 flips on a ca.
10–20 ns time scale, and Phe45 are broadened in all crystals, presumably due to
µs motion. Our findings suggest that intramolecular influences are more important
for ring flips than intermolecular (packing) effects.'
acknowledgement: The NMR platform in Grenoble is part of the Grenoble Instruct-ERIC
center (ISBG; UAR 3518 CNRS-CEA-UGA-EMBL) within the Grenoble Partnership for Structural
Biology (PSB), supported by FRISBI (ANR-10-INBS-0005-02) and GRAL, financed within
the University Grenoble Alpes graduate school (Ecoles Universitaires de Recherche)
CBH-EUR-GS (ANR-17-EURE-0003). This work was supported by the European Research
Council (StG-2012-311318-ProtDyn2Function to P.S.) and used the platforms of the
Grenoble Instruct Center (ISBG; UMS 3518 CNRS-CEA-UJF-EMBL) with support from FRISBI
(ANR-10-INSB-05–02) and GRAL (ANR-10-LABX-49–01) within the Grenoble Partnership
for Structural Biology (PSB). We would like to thank Sergei Izmailov for developing
and maintaining the pyxmolpp2 library. N.R.S. acknowledges support from St. Petersburg
State University in a form of the grant 92425251 and the access to the MRR, MCT
and CAMR resource centers. P.S. thanks Malcolm Levitt for pointing out the fact
that “tensor asymmetry” is better called “tensor biaxiality”.
article_number: '100079'
article_processing_charge: No
article_type: original
author:
- first_name: Diego F.
full_name: Gauto, Diego F.
last_name: Gauto
- first_name: Olga O.
full_name: Lebedenko, Olga O.
last_name: Lebedenko
- first_name: Lea Marie
full_name: Becker, Lea Marie
id: 36336939-eb97-11eb-a6c2-c83f1214ca79
last_name: Becker
orcid: 0000-0002-6401-5151
- first_name: Isabel
full_name: Ayala, Isabel
last_name: Ayala
- first_name: Roman
full_name: Lichtenecker, Roman
last_name: Lichtenecker
- first_name: Nikolai R.
full_name: Skrynnikov, Nikolai R.
last_name: Skrynnikov
- first_name: Paul
full_name: Schanda, Paul
id: 7B541462-FAF6-11E9-A490-E8DFE5697425
last_name: Schanda
orcid: 0000-0002-9350-7606
citation:
ama: 'Gauto DF, Lebedenko OO, Becker LM, et al. Aromatic ring flips in differently
packed ubiquitin protein crystals from MAS NMR and MD. Journal of Structural
Biology: X. 2023;7. doi:10.1016/j.yjsbx.2022.100079'
apa: 'Gauto, D. F., Lebedenko, O. O., Becker, L. M., Ayala, I., Lichtenecker, R.,
Skrynnikov, N. R., & Schanda, P. (2023). Aromatic ring flips in differently
packed ubiquitin protein crystals from MAS NMR and MD. Journal of Structural
Biology: X. Elsevier. https://doi.org/10.1016/j.yjsbx.2022.100079'
chicago: 'Gauto, Diego F., Olga O. Lebedenko, Lea Marie Becker, Isabel Ayala, Roman
Lichtenecker, Nikolai R. Skrynnikov, and Paul Schanda. “Aromatic Ring Flips in
Differently Packed Ubiquitin Protein Crystals from MAS NMR and MD.” Journal
of Structural Biology: X. Elsevier, 2023. https://doi.org/10.1016/j.yjsbx.2022.100079.'
ieee: 'D. F. Gauto et al., “Aromatic ring flips in differently packed ubiquitin
protein crystals from MAS NMR and MD,” Journal of Structural Biology: X,
vol. 7. Elsevier, 2023.'
ista: 'Gauto DF, Lebedenko OO, Becker LM, Ayala I, Lichtenecker R, Skrynnikov NR,
Schanda P. 2023. Aromatic ring flips in differently packed ubiquitin protein crystals
from MAS NMR and MD. Journal of Structural Biology: X. 7, 100079.'
mla: 'Gauto, Diego F., et al. “Aromatic Ring Flips in Differently Packed Ubiquitin
Protein Crystals from MAS NMR and MD.” Journal of Structural Biology: X,
vol. 7, 100079, Elsevier, 2023, doi:10.1016/j.yjsbx.2022.100079.'
short: 'D.F. Gauto, O.O. Lebedenko, L.M. Becker, I. Ayala, R. Lichtenecker, N.R.
Skrynnikov, P. Schanda, Journal of Structural Biology: X 7 (2023).'
corr_author: '1'
date_created: 2023-01-12T11:55:38Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2026-07-20T09:49:12Z
day: '01'
ddc:
- '570'
department:
- _id: PaSc
doi: 10.1016/j.yjsbx.2022.100079
external_id:
pmid:
- '36578472'
file:
- access_level: open_access
checksum: b4b1c10a31018aafe053b7d55a470e54
content_type: application/pdf
creator: dernst
date_created: 2023-08-16T09:36:28Z
date_updated: 2023-08-16T09:36:28Z
file_id: '14064'
file_name: 2023_JourStrucBiologyX_Gauto.pdf
file_size: 5132322
relation: main_file
success: 1
file_date_updated: 2023-08-16T09:36:28Z
fulldoi: https://doi.org/10.1016/j.yjsbx.2022.100079
has_accepted_license: '1'
intvolume: ' 7'
keyword:
- Structural Biology
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
pmid: 1
publication: 'Journal of Structural Biology: X'
publication_identifier:
issn:
- 2590-1524
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '22334'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Aromatic ring flips in differently packed ubiquitin protein crystals from MAS
NMR and MD
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2023'
...
---
_id: '13968'
abstract:
- lang: eng
text: The use of multimodal readout mechanisms next to label-free real-time monitoring
of biomolecular interactions can provide valuable insight into surface-based reaction
mechanisms. To this end, the combination of an electrolyte-gated field-effect
transistor (EG-FET) with a fiber optic-coupled surface plasmon resonance (FO-SPR)
probe serving as gate electrode has been investigated to deconvolute surface mass
and charge density variations associated to surface reactions. However, applying
an electrochemical potential on such gold-coated FO-SPR gate electrodes can induce
gradual morphological changes of the thin gold film, leading to an irreversible
blue-shift of the SPR wavelength and a substantial signal drift. We show that
mild annealing leads to optical and electronic signal stabilization (20-fold lower
signal drift than as-sputtered fiber optic gates) and improved overall analytical
performance characteristics. The thermal treatment prevents morphological changes
of the thin gold-film occurring during operation, hence providing reliable and
stable data immediately upon gate voltage application. Thus, the readout output
of both transducing principles, the optical FO-SPR and electronic EG-FET, stays
constant throughout the whole sensing time-window and the long-term effect of
thermal treatment is also improved, providing stable signals even after 1 year
of storage. Annealing should therefore be considered a necessary modification
for applying fiber optic gate electrodes in real-time multimodal investigations
of surface reactions at the solid-liquid interface.
acknowledged_ssus:
- _id: EM-Fac
acknowledgement: "This project has received funding from the European Union’s Horizon
2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement
No. 813863–BORGES. We further thank the office of the Federal Government of Lower
Austria, K3-Group–Culture, Science and Education, for their financial support as
part of the project “Responsive Wound Dressing”. We gratefully acknowledge the financial
support from the Austrian Research Promotion Agency (FFG; 888067).\r\nWe thank the
Electron Microscopy Facility at IST Austria for their support with sputter coating
the FO tips and Bernhard Pichler from AIT for software development to facilitate
data evaluation."
article_number: '1202132'
article_processing_charge: Yes
article_type: original
author:
- first_name: Roger
full_name: Hasler, Roger
last_name: Hasler
- first_name: Marie Helene
full_name: Steger-Polt, Marie Helene
last_name: Steger-Polt
- first_name: Ciril
full_name: Reiner-Rozman, Ciril
last_name: Reiner-Rozman
- first_name: Stefan
full_name: Fossati, Stefan
last_name: Fossati
- first_name: Seungho
full_name: Lee, Seungho
id: BB243B88-D767-11E9-B658-BC13E6697425
last_name: Lee
orcid: 0000-0002-6962-8598
- first_name: Patrik
full_name: Aspermair, Patrik
last_name: Aspermair
- first_name: Christoph
full_name: Kleber, Christoph
last_name: Kleber
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Jakub
full_name: Dostalek, Jakub
last_name: Dostalek
- first_name: Wolfgang
full_name: Knoll, Wolfgang
last_name: Knoll
citation:
ama: 'Hasler R, Steger-Polt MH, Reiner-Rozman C, et al. Optical and electronic signal
stabilization of plasmonic fiber optic gate electrodes: Towards improved real-time
dual-mode biosensing. Frontiers in Physics. 2023;11. doi:10.3389/fphy.2023.1202132'
apa: 'Hasler, R., Steger-Polt, M. H., Reiner-Rozman, C., Fossati, S., Lee, S., Aspermair,
P., … Knoll, W. (2023). Optical and electronic signal stabilization of plasmonic
fiber optic gate electrodes: Towards improved real-time dual-mode biosensing.
Frontiers in Physics. Frontiers. https://doi.org/10.3389/fphy.2023.1202132'
chicago: 'Hasler, Roger, Marie Helene Steger-Polt, Ciril Reiner-Rozman, Stefan Fossati,
Seungho Lee, Patrik Aspermair, Christoph Kleber, Maria Ibáñez, Jakub Dostalek,
and Wolfgang Knoll. “Optical and Electronic Signal Stabilization of Plasmonic
Fiber Optic Gate Electrodes: Towards Improved Real-Time Dual-Mode Biosensing.”
Frontiers in Physics. Frontiers, 2023. https://doi.org/10.3389/fphy.2023.1202132.'
ieee: 'R. Hasler et al., “Optical and electronic signal stabilization of
plasmonic fiber optic gate electrodes: Towards improved real-time dual-mode biosensing,”
Frontiers in Physics, vol. 11. Frontiers, 2023.'
ista: 'Hasler R, Steger-Polt MH, Reiner-Rozman C, Fossati S, Lee S, Aspermair P,
Kleber C, Ibáñez M, Dostalek J, Knoll W. 2023. Optical and electronic signal stabilization
of plasmonic fiber optic gate electrodes: Towards improved real-time dual-mode
biosensing. Frontiers in Physics. 11, 1202132.'
mla: 'Hasler, Roger, et al. “Optical and Electronic Signal Stabilization of Plasmonic
Fiber Optic Gate Electrodes: Towards Improved Real-Time Dual-Mode Biosensing.”
Frontiers in Physics, vol. 11, 1202132, Frontiers, 2023, doi:10.3389/fphy.2023.1202132.'
short: R. Hasler, M.H. Steger-Polt, C. Reiner-Rozman, S. Fossati, S. Lee, P. Aspermair,
C. Kleber, M. Ibáñez, J. Dostalek, W. Knoll, Frontiers in Physics 11 (2023).
date_created: 2023-08-06T22:01:11Z
date_published: 2023-07-14T00:00:00Z
date_updated: 2026-07-22T06:16:47Z
day: '14'
ddc:
- '530'
department:
- _id: MaIb
doi: 10.3389/fphy.2023.1202132
external_id:
isi:
- '001038636400001'
file:
- access_level: open_access
checksum: fb36dda665e57bab006a000bf0faacd5
content_type: application/pdf
creator: dernst
date_created: 2023-08-07T07:48:11Z
date_updated: 2023-08-07T07:48:11Z
file_id: '13978'
file_name: 2023_FrontiersPhysics_Hasler.pdf
file_size: 2421758
relation: main_file
success: 1
file_date_updated: 2023-08-07T07:48:11Z
fulldoi: https://doi.org/10.3389/fphy.2023.1202132
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: Frontiers in Physics
publication_identifier:
eissn:
- 2296-424X
publication_status: published
publisher: Frontiers
quality_controlled: '1'
related_material:
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- id: '19308'
relation: research_data
status: public
scopus_import: '1'
status: public
title: 'Optical and electronic signal stabilization of plasmonic fiber optic gate
electrodes: Towards improved real-time dual-mode biosensing'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2023'
...
---
OA_place: repository
OA_type: green
_id: '19308'
abstract:
- lang: eng
text: 'This Dataset contains the raw data from the following publication: "Optical
and electronic signal stabilization of plasmonic fiber optic gate electrodes:
towards improved real-time dual-mode biosensing" (DOI 10.3389/fphy.2023.1202132)'
article_processing_charge: No
author:
- first_name: Roger
full_name: Hasler, Roger
last_name: Hasler
- first_name: Marie-Helene
full_name: Polt, Marie-Helene
last_name: Polt
- first_name: Ciril
full_name: Reiner-Rozman, Ciril
last_name: Reiner-Rozman
- first_name: Stefan
full_name: Fossati, Stefan
last_name: Fossati
- first_name: Seungho
full_name: Lee, Seungho
last_name: Lee
- first_name: Patrik
full_name: Aspermair, Patrik
last_name: Aspermair
- first_name: Christoph
full_name: Kleber, Christoph
last_name: Kleber
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Jakub
full_name: Dostalek, Jakub
last_name: Dostalek
- first_name: Wolfgang
full_name: Knoll, Wolfgang
last_name: Knoll
citation:
ama: 'Hasler R, Polt M-H, Reiner-Rozman C, et al. Optical and electronic signal
stabilization of plasmonic fiber optic gate electrodes: Towards improved real-time
dual-mode biosensing. 2023. doi:10.5281/ZENODO.7716920'
apa: 'Hasler, R., Polt, M.-H., Reiner-Rozman, C., Fossati, S., Lee, S., Aspermair,
P., … Knoll, W. (2023). Optical and electronic signal stabilization of plasmonic
fiber optic gate electrodes: Towards improved real-time dual-mode biosensing.
Zenodo. https://doi.org/10.5281/ZENODO.7716920'
chicago: 'Hasler, Roger, Marie-Helene Polt, Ciril Reiner-Rozman, Stefan Fossati,
Seungho Lee, Patrik Aspermair, Christoph Kleber, Maria Ibáñez, Jakub Dostalek,
and Wolfgang Knoll. “Optical and Electronic Signal Stabilization of Plasmonic
Fiber Optic Gate Electrodes: Towards Improved Real-Time Dual-Mode Biosensing.”
Zenodo, 2023. https://doi.org/10.5281/ZENODO.7716920.'
ieee: 'R. Hasler et al., “Optical and electronic signal stabilization of
plasmonic fiber optic gate electrodes: Towards improved real-time dual-mode biosensing.”
Zenodo, 2023.'
ista: 'Hasler R, Polt M-H, Reiner-Rozman C, Fossati S, Lee S, Aspermair P, Kleber
C, Ibáñez M, Dostalek J, Knoll W. 2023. Optical and electronic signal stabilization
of plasmonic fiber optic gate electrodes: Towards improved real-time dual-mode
biosensing, Zenodo, 10.5281/ZENODO.7716920.'
mla: 'Hasler, Roger, et al. Optical and Electronic Signal Stabilization of Plasmonic
Fiber Optic Gate Electrodes: Towards Improved Real-Time Dual-Mode Biosensing.
Zenodo, 2023, doi:10.5281/ZENODO.7716920.'
short: R. Hasler, M.-H. Polt, C. Reiner-Rozman, S. Fossati, S. Lee, P. Aspermair,
C. Kleber, M. Ibáñez, J. Dostalek, W. Knoll, (2023).
date_created: 2025-03-07T08:40:58Z
date_published: 2023-07-14T00:00:00Z
date_updated: 2026-07-22T06:16:48Z
day: '14'
ddc:
- '540'
department:
- _id: MaIb
doi: 10.5281/ZENODO.7716920
fulldoi: https://doi.org/10.5281/ZENODO.7716920
has_accepted_license: '1'
main_file_link:
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url: https://doi.org/10.5281/ZENODO.7716920
month: '07'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '13968'
relation: used_in_publication
status: public
status: public
title: 'Optical and electronic signal stabilization of plasmonic fiber optic gate
electrodes: Towards improved real-time dual-mode biosensing'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
OA_place: repository
_id: '15039'
abstract:
- lang: eng
text: 'A crucial property for achieving secure, trustworthy and interpretable deep
learning systems is their robustness: small changes to a system''s inputs should
not result in large changes to its outputs. Mathematically, this means one strives
for networks with a small Lipschitz constant. Several recent works have focused
on how to construct such Lipschitz networks, typically by imposing constraints
on the weight matrices. In this work, we study an orthogonal aspect, namely the
role of the activation function. We show that commonly used activation functions,
such as MaxMin, as well as all piece-wise linear ones with two segments unnecessarily
restrict the class of representable functions, even in the simplest one-dimensional
setting. We furthermore introduce the new N-activation function that is provably
more expressive than currently popular activation functions. We provide code at
this https URL.'
article_number: '2311.06103'
article_processing_charge: No
arxiv: 1
author:
- first_name: Bernd
full_name: Prach, Bernd
id: 2D561D42-C427-11E9-89B4-9C1AE6697425
last_name: Prach
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations.
arXiv. doi:10.48550/ARXIV.2311.06103
apa: Prach, B., & Lampert, C. (n.d.). 1-Lipschitz neural networks are more expressive
with N-activations. arXiv. https://doi.org/10.48550/ARXIV.2311.06103
chicago: Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More
Expressive with N-Activations.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2311.06103.
ieee: B. Prach and C. Lampert, “1-Lipschitz neural networks are more expressive
with N-activations,” arXiv. .
ista: Prach B, Lampert C. 1-Lipschitz neural networks are more expressive with N-activations.
arXiv, 2311.06103.
mla: Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More
Expressive with N-Activations.” ArXiv, 2311.06103, doi:10.48550/ARXIV.2311.06103.
short: B. Prach, C. Lampert, ArXiv (n.d.).
corr_author: '1'
date_created: 2024-02-28T17:59:32Z
date_published: 2023-11-10T00:00:00Z
date_updated: 2026-07-27T12:47:43Z
day: '10'
department:
- _id: GradSch
- _id: ChLa
doi: 10.48550/ARXIV.2311.06103
external_id:
arxiv:
- '2311.06103'
fulldoi: https://doi.org/10.48550/ARXIV.2311.06103
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2311.06103
month: '11'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: draft
related_material:
record:
- id: '19759'
relation: dissertation_contains
status: public
status: public
title: 1-Lipschitz neural networks are more expressive with N-activations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '14771'
abstract:
- lang: eng
text: Pruning—that is, setting a significant subset of the parameters of a neural
network to zero—is one of the most popular methods of model compression. Yet,
several recent works have raised the issue that pruning may induce or exacerbate
bias in the output of the compressed model. Despite existing evidence for this
phenomenon, the relationship between neural network pruning and induced bias is
not well-understood. In this work, we systematically investigate and characterize
this phenomenon in Convolutional Neural Networks for computer vision. First, we
show that it is in fact possible to obtain highly-sparse models, e.g. with less
than 10% remaining weights, which do not decrease in accuracy nor substantially
increase in bias when compared to dense models. At the same time, we also find
that, at higher sparsities, pruned models exhibit higher uncertainty in their
outputs, as well as increased correlations, which we directly link to increased
bias. We propose easy-to-use criteria which, based only on the uncompressed model,
establish whether bias will increase with pruning, and identify the samples most
susceptible to biased predictions post-compression. Our code can be found at https://github.com/IST-DASLab/pruned-vision-model-bias.
acknowledgement: The authors would like to sincerely thank Sara Hooker for her feedback
during the development of this work. EI was supported in part by the FWF DK VGSCO,
grant agreement number W1260-N35. AP and DA acknowledge generous ERC support, via
Starting Grant 805223 ScaleML.
article_processing_charge: No
arxiv: 1
author:
- first_name: Eugenia B
full_name: Iofinova, Eugenia B
id: f9a17499-f6e0-11ea-865d-fdf9a3f77117
last_name: Iofinova
orcid: 0000-0002-7778-3221
- first_name: Elena-Alexandra
full_name: Peste, Elena-Alexandra
id: 32D78294-F248-11E8-B48F-1D18A9856A87
last_name: Peste
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
citation:
ama: 'Iofinova EB, Krumes A, Alistarh D-A. Bias in pruned vision models: In-depth
analysis and countermeasures. In: 2023 IEEE/CVF Conference on Computer Vision
and Pattern Recognition. IEEE; 2023:24364-24373. doi:10.1109/cvpr52729.2023.02334'
apa: 'Iofinova, E. B., Krumes, A., & Alistarh, D.-A. (2023). Bias in pruned
vision models: In-depth analysis and countermeasures. In 2023 IEEE/CVF Conference
on Computer Vision and Pattern Recognition (pp. 24364–24373). Vancouver, BC,
Canada: IEEE. https://doi.org/10.1109/cvpr52729.2023.02334'
chicago: 'Iofinova, Eugenia B, Alexandra Krumes, and Dan-Adrian Alistarh. “Bias
in Pruned Vision Models: In-Depth Analysis and Countermeasures.” In 2023 IEEE/CVF
Conference on Computer Vision and Pattern Recognition, 24364–73. IEEE, 2023.
https://doi.org/10.1109/cvpr52729.2023.02334.'
ieee: 'E. B. Iofinova, A. Krumes, and D.-A. Alistarh, “Bias in pruned vision models:
In-depth analysis and countermeasures,” in 2023 IEEE/CVF Conference on Computer
Vision and Pattern Recognition, Vancouver, BC, Canada, 2023, pp. 24364–24373.'
ista: 'Iofinova EB, Krumes A, Alistarh D-A. 2023. Bias in pruned vision models:
In-depth analysis and countermeasures. 2023 IEEE/CVF Conference on Computer Vision
and Pattern Recognition. CVPR: Conference on Computer Vision and Pattern Recognition,
24364–24373.'
mla: 'Iofinova, Eugenia B., et al. “Bias in Pruned Vision Models: In-Depth Analysis
and Countermeasures.” 2023 IEEE/CVF Conference on Computer Vision and Pattern
Recognition, IEEE, 2023, pp. 24364–73, doi:10.1109/cvpr52729.2023.02334.'
short: E.B. Iofinova, A. Krumes, D.-A. Alistarh, in:, 2023 IEEE/CVF Conference on
Computer Vision and Pattern Recognition, IEEE, 2023, pp. 24364–24373.
conference:
end_date: 2023-06-24
location: Vancouver, BC, Canada
name: 'CVPR: Conference on Computer Vision and Pattern Recognition'
start_date: 2023-06-17
corr_author: '1'
date_created: 2024-01-10T08:42:40Z
date_published: 2023-08-22T00:00:00Z
date_updated: 2026-07-27T12:50:03Z
day: '22'
department:
- _id: DaAl
- _id: ChLa
doi: 10.1109/cvpr52729.2023.02334
ec_funded: 1
external_id:
arxiv:
- '2304.12622'
isi:
- '001062531308068'
fulldoi: https://doi.org/10.1109/cvpr52729.2023.02334
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2304.12622
month: '08'
oa: 1
oa_version: Preprint
page: 24364-24373
project:
- _id: 9B9290DE-BA93-11EA-9121-9846C619BF3A
grant_number: W1260-N35
name: Vienna Graduate School on Computational Optimization
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition
publication_identifier:
eisbn:
- '9798350301298'
eissn:
- 2575-7075
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/IST-DASLab/pruned-vision-model-bias
record:
- id: '21854'
relation: dissertation_contains
status: public
status: public
title: 'Bias in pruned vision models: In-depth analysis and countermeasures'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12762'
abstract:
- lang: eng
text: Neurons in the brain are wired into adaptive networks that exhibit collective
dynamics as diverse as scale-specific oscillations and scale-free neuronal avalanches.
Although existing models account for oscillations and avalanches separately, they
typically do not explain both phenomena, are too complex to analyze analytically
or intractable to infer from data rigorously. Here we propose a feedback-driven
Ising-like class of neural networks that captures avalanches and oscillations
simultaneously and quantitatively. In the simplest yet fully microscopic model
version, we can analytically compute the phase diagram and make direct contact
with human brain resting-state activity recordings via tractable inference of
the model’s two essential parameters. The inferred model quantitatively captures
the dynamics over a broad range of scales, from single sensor oscillations to
collective behaviors of extreme events and neuronal avalanches. Importantly, the
inferred parameters indicate that the co-existence of scale-specific (oscillations)
and scale-free (avalanches) dynamics occurs close to a non-equilibrium critical
point at the onset of self-sustained oscillations.
acknowledgement: This research was funded in whole, or in part, by the Austrian Science
Fund (FWF) (grant no. PT1013M03318 to F.L. and no. P34015 to G.T.). For the purpose
of open access, the author has applied a CC BY public copyright licence to any Author
Accepted Manuscript version arising from this submission. The study was supported
by the European Union Horizon 2020 research and innovation program under the Marie
Sklodowska-Curie action (grant agreement No. 754411 to F.L.).
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Selver
full_name: Pepic, Selver
id: F93245C4-C3CA-11E9-B4F0-C6F4E5697425
last_name: Pepic
- first_name: Oren
full_name: Shriki, Oren
last_name: Shriki
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
citation:
ama: Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. Statistical modeling
of adaptive neural networks explains co-existence of avalanches and oscillations
in resting human brain. Nature Computational Science. 2023;3:254-263. doi:10.1038/s43588-023-00410-9
apa: Lombardi, F., Pepic, S., Shriki, O., Tkačik, G., & De Martino, D. (2023).
Statistical modeling of adaptive neural networks explains co-existence of avalanches
and oscillations in resting human brain. Nature Computational Science.
Springer Nature. https://doi.org/10.1038/s43588-023-00410-9
chicago: Lombardi, Fabrizio, Selver Pepic, Oren Shriki, Gašper Tkačik, and Daniele
De Martino. “Statistical Modeling of Adaptive Neural Networks Explains Co-Existence
of Avalanches and Oscillations in Resting Human Brain.” Nature Computational
Science. Springer Nature, 2023. https://doi.org/10.1038/s43588-023-00410-9.
ieee: F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, and D. De Martino, “Statistical
modeling of adaptive neural networks explains co-existence of avalanches and oscillations
in resting human brain,” Nature Computational Science, vol. 3. Springer
Nature, pp. 254–263, 2023.
ista: Lombardi F, Pepic S, Shriki O, Tkačik G, De Martino D. 2023. Statistical modeling
of adaptive neural networks explains co-existence of avalanches and oscillations
in resting human brain. Nature Computational Science. 3, 254–263.
mla: Lombardi, Fabrizio, et al. “Statistical Modeling of Adaptive Neural Networks
Explains Co-Existence of Avalanches and Oscillations in Resting Human Brain.”
Nature Computational Science, vol. 3, Springer Nature, 2023, pp. 254–63,
doi:10.1038/s43588-023-00410-9.
short: F. Lombardi, S. Pepic, O. Shriki, G. Tkačik, D. De Martino, Nature Computational
Science 3 (2023) 254–263.
corr_author: '1'
date_created: 2023-03-26T22:01:08Z
date_published: 2023-03-20T00:00:00Z
date_updated: 2026-07-29T06:53:41Z
day: '20'
ddc:
- '570'
department:
- _id: GaTk
- _id: GradSch
doi: 10.1038/s43588-023-00410-9
ec_funded: 1
external_id:
arxiv:
- '2108.06686'
isi:
- '000968161800002'
pmid:
- '38177880'
file:
- access_level: open_access
checksum: 7c63b2b2edfd68aaffe96d70ca6a865a
content_type: application/pdf
creator: dernst
date_created: 2023-08-16T12:39:57Z
date_updated: 2023-08-16T12:39:57Z
file_id: '14073'
file_name: 2023_NatureCompScience_Lombardi.pdf
file_size: 4474284
relation: main_file
success: 1
file_date_updated: 2023-08-16T12:39:57Z
fulldoi: https://doi.org/10.1038/s43588-023-00410-9
has_accepted_license: '1'
intvolume: ' 3'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 254-263
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: eb943429-77a9-11ec-83b8-9f471cdf5c67
grant_number: M03318
name: Functional Advantages of Critical Brain Dynamics
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
grant_number: P34015
name: Efficient coding with biophysical realism
publication: Nature Computational Science
publication_identifier:
eissn:
- 2662-8457
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '10912'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Statistical modeling of adaptive neural networks explains co-existence of avalanches
and oscillations in resting human brain
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 3
year: '2023'
...
---
OA_place: repository
OA_type: green
_id: '13340'
abstract:
- lang: eng
text: Photoisomerization of azobenzenes from their stable E isomer to the metastable
Z state is the basis of numerous applications of these molecules. However, this
reaction typically requires ultraviolet light, which limits applicability. In
this study, we introduce disequilibration by sensitization under confinement (DESC),
a supramolecular approach to induce the E-to-Z isomerization by using light of
a desired color, including red. DESC relies on a combination of a macrocyclic
host and a photosensitizer, which act together to selectively bind and sensitize
E-azobenzenes for isomerization. The Z isomer lacks strong affinity for and is
expelled from the host, which can then convert additional E-azobenzenes to the
Z state. In this way, the host–photosensitizer complex converts photon energy
into chemical energy in the form of out-of-equilibrium photostationary states,
including ones that cannot be accessed through direct photoexcitation.
acknowledgement: We acknowledge funding from the European Union’s Horizon 2020 Research
and Innovation Program [European Research Council grants 820008 (Ra.K.) and 101045223
(A.P.) and Marie Skłodowska-Curie grants 812868 (J.G.) and 101022777 (T.-P.R.)],
the Academy of Finland [Center of Excellence Programme LIBER grant 346107 (A.P.),
Flagship Programme PREIN grant 320165 (A.P.), and Postdoctoral Researcher grant
340103 (T.-P.R.)], Zuckerman STEM Leadership Program Fellowship (J.R.C.), President’s
PhD Scholarship (M.O.), and the EPSRC [Established Career Fellowship grant EP/R00188X/1
(M.J.F.)].
article_processing_charge: No
article_type: original
author:
- first_name: Julius
full_name: Gemen, Julius
last_name: Gemen
- first_name: Jonathan R.
full_name: Church, Jonathan R.
last_name: Church
- first_name: Tero-Petri
full_name: Ruoko, Tero-Petri
last_name: Ruoko
- first_name: Nikita
full_name: Durandin, Nikita
last_name: Durandin
- first_name: Michał J.
full_name: Białek, Michał J.
last_name: Białek
- first_name: Maren
full_name: Weissenfels, Maren
last_name: Weissenfels
- first_name: Moran
full_name: Feller, Moran
last_name: Feller
- first_name: Miri
full_name: Kazes, Miri
last_name: Kazes
- first_name: Veniamin A.
full_name: Borin, Veniamin A.
last_name: Borin
- first_name: Magdalena
full_name: Odaybat, Magdalena
last_name: Odaybat
- first_name: Rishir
full_name: Kalepu, Rishir
last_name: Kalepu
- first_name: Yael
full_name: Diskin-Posner, Yael
last_name: Diskin-Posner
- first_name: Dan
full_name: Oron, Dan
last_name: Oron
- first_name: Matthew J.
full_name: Fuchter, Matthew J.
last_name: Fuchter
- first_name: Arri
full_name: Priimagi, Arri
last_name: Priimagi
- first_name: Igor
full_name: Schapiro, Igor
last_name: Schapiro
- first_name: Rafal
full_name: Klajn, Rafal
id: 8e84690e-1e48-11ed-a02b-a1e6fb8bb53b
last_name: Klajn
chemrxivid: 1
citation:
ama: Gemen J, Church JR, Ruoko T-P, et al. Disequilibrating azoarenes by visible-light
sensitization under confinement. Science. 2023;381(6664):1357-1363. doi:10.1126/science.adh9059
apa: Gemen, J., Church, J. R., Ruoko, T.-P., Durandin, N., Białek, M. J., Weissenfels,
M., … Klajn, R. (2023). Disequilibrating azoarenes by visible-light sensitization
under confinement. Science. American Association for the Advancement of
Science. https://doi.org/10.1126/science.adh9059
chicago: Gemen, Julius, Jonathan R. Church, Tero-Petri Ruoko, Nikita Durandin, Michał
J. Białek, Maren Weissenfels, Moran Feller, et al. “Disequilibrating Azoarenes
by Visible-Light Sensitization under Confinement.” Science. American Association
for the Advancement of Science, 2023. https://doi.org/10.1126/science.adh9059.
ieee: J. Gemen et al., “Disequilibrating azoarenes by visible-light sensitization
under confinement,” Science, vol. 381, no. 6664. American Association for
the Advancement of Science, pp. 1357–1363, 2023.
ista: Gemen J, Church JR, Ruoko T-P, Durandin N, Białek MJ, Weissenfels M, Feller
M, Kazes M, Borin VA, Odaybat M, Kalepu R, Diskin-Posner Y, Oron D, Fuchter MJ,
Priimagi A, Schapiro I, Klajn R. 2023. Disequilibrating azoarenes by visible-light
sensitization under confinement. Science. 381(6664), 1357–1363.
mla: Gemen, Julius, et al. “Disequilibrating Azoarenes by Visible-Light Sensitization
under Confinement.” Science, vol. 381, no. 6664, American Association for
the Advancement of Science, 2023, pp. 1357–63, doi:10.1126/science.adh9059.
short: J. Gemen, J.R. Church, T.-P. Ruoko, N. Durandin, M.J. Białek, M. Weissenfels,
M. Feller, M. Kazes, V.A. Borin, M. Odaybat, R. Kalepu, Y. Diskin-Posner, D. Oron,
M.J. Fuchter, A. Priimagi, I. Schapiro, R. Klajn, Science 381 (2023) 1357–1363.
corr_author: '1'
date_created: 2023-08-01T08:26:15Z
date_published: 2023-09-22T00:00:00Z
date_updated: 2026-07-29T05:48:56Z
day: '22'
department:
- _id: RaKl
doi: 10.1126/science.adh9059
ec_funded: 1
external_id:
chemrxivid:
- 10.26434/chemrxiv-2023-gq2h0
isi:
- '001100654900035'
pmid:
- '37733864'
fulldoi: https://doi.org/10.1126/science.adh9059
intvolume: ' 381'
isi: 1
issue: '6664'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.26434/chemrxiv-2023-gq2h0
month: '09'
oa: 1
oa_version: Preprint
page: 1357-1363
pmid: 1
project:
- _id: 7bef070e-9f16-11ee-852c-db9675e131d9
call_identifier: H2020
grant_number: '820008'
name: 'Dissipative self-assembly in synthetic systems: Towards life-like materials'
publication: Science
publication_identifier:
eissn:
- 1095-9203
publication_status: published
publisher: American Association for the Advancement of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Disequilibrating azoarenes by visible-light sensitization under confinement
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 381
year: '2023'
...
---
OA_place: publisher
OA_type: gold
_id: '14210'
abstract:
- lang: eng
text: Research on recovering the latent factors of variation of high dimensional
data has so far focused on simple synthetic settings. Mostly building on unsupervised
and weakly-supervised objectives, prior work missed out on the positive implications
for representation learning on real world data. In this work, we propose to leverage
knowledge extracted from a diversified set of supervised tasks to learn a common
disentangled representation. Assuming that each supervised task only depends on
an unknown subset of the factors of variation, we disentangle the feature space
of a supervised multi-task model, with features activating sparsely across different
tasks and information being shared as appropriate. Importantly, we never directly
observe the factors of variations, but establish that access to multiple tasks
is sufficient for identifiability under sufficiency and minimality assumptions.
We validate our approach on six real world distribution shift benchmarks, and
different data modalities (images, text), demonstrating how disentangled representations
can be transferred to real settings.
acknowledgement: "Marco Fumero and Emanuele Rodolà were supported by the ERC grant
no.802554 (SPECGEO),\r\nPRIN 2020 project no.2020TA3K9N (LEGO.AI), and PNRR MUR
project PE0000013-FAIR. Marco\r\nFumero and Francesco Locatello were partially at
Amazon while working at this project. We thank\r\nJulius von Kügelgen, Sebastian
Lachapelle and the anonymous reviewers for their feedback and\r\nsuggestions."
alternative_title:
- Advances in Neural Information Processing Systems
article_number: '1204'
article_processing_charge: No
arxiv: 1
author:
- first_name: Marco
full_name: Fumero, Marco
last_name: Fumero
- first_name: Florian
full_name: Wenzel, Florian
last_name: Wenzel
- first_name: Luca
full_name: Zancato, Luca
last_name: Zancato
- first_name: Alessandro
full_name: Achille, Alessandro
last_name: Achille
- first_name: Emanuele
full_name: Rodolà, Emanuele
last_name: Rodolà
- first_name: Stefano
full_name: Soatto, Stefano
last_name: Soatto
- first_name: Bernhard
full_name: Schölkopf, Bernhard
last_name: Schölkopf
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
citation:
ama: 'Fumero M, Wenzel F, Zancato L, et al. Leveraging sparse and shared feature
activations for disentangled representation learning. In: 37th International
Conference on Neural Information Processing Systems. Vol 36. Neural Information
Processing Systems Foundation; 2023.'
apa: 'Fumero, M., Wenzel, F., Zancato, L., Achille, A., Rodolà, E., Soatto, S.,
… Locatello, F. (2023). Leveraging sparse and shared feature activations for disentangled
representation learning. In 37th International Conference on Neural Information
Processing Systems (Vol. 36). New Orleans, LA, United States: Neural Information
Processing Systems Foundation.'
chicago: Fumero, Marco, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele
Rodolà, Stefano Soatto, Bernhard Schölkopf, and Francesco Locatello. “Leveraging
Sparse and Shared Feature Activations for Disentangled Representation Learning.”
In 37th International Conference on Neural Information Processing Systems,
Vol. 36. Neural Information Processing Systems Foundation, 2023.
ieee: M. Fumero et al., “Leveraging sparse and shared feature activations
for disentangled representation learning,” in 37th International Conference
on Neural Information Processing Systems, New Orleans, LA, United States,
2023, vol. 36.
ista: 'Fumero M, Wenzel F, Zancato L, Achille A, Rodolà E, Soatto S, Schölkopf B,
Locatello F. 2023. Leveraging sparse and shared feature activations for disentangled
representation learning. 37th International Conference on Neural Information Processing
Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information
Processing Systems, vol. 36, 1204.'
mla: Fumero, Marco, et al. “Leveraging Sparse and Shared Feature Activations for
Disentangled Representation Learning.” 37th International Conference on Neural
Information Processing Systems, vol. 36, 1204, Neural Information Processing
Systems Foundation, 2023.
short: M. Fumero, F. Wenzel, L. Zancato, A. Achille, E. Rodolà, S. Soatto, B. Schölkopf,
F. Locatello, in:, 37th International Conference on Neural Information Processing
Systems, Neural Information Processing Systems Foundation, 2023.
conference:
end_date: 2023-12-16
location: New Orleans, LA, United States
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2023-12-10
corr_author: '1'
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date_created: 2023-08-22T14:19:03Z
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date_updated: 2026-07-29T08:02:05Z
day: '10'
ddc:
- '000'
department:
- _id: FrLo
external_id:
arxiv:
- '2304.07939'
file:
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oa_version: Published Version
publication: 37th International Conference on Neural Information Processing Systems
publication_identifier:
issn:
- 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
researchdata_availability: no
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supplementarymaterial: no
title: Leveraging sparse and shared feature activations for disentangled representation
learning
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2023'
...
---
OA_place: publisher
OA_type: gold
_id: '14952'
abstract:
- lang: eng
text: "While different neural models often exhibit latent spaces that are alike
when exposed to semantically related data, this intrinsic similarity is not always
immediately discernible. Towards a better understanding of this phenomenon, our
work shows how representations learned from these neural modules can be translated
between different pre-trained networks via simpler transformations than previously
thought. An advantage of this approach is the ability to\r\nestimate these transformations
using standard, well-understood algebraic procedures that have closed-form solutions.
Our method directly estimates a transformation between two given latent spaces,
thereby enabling effective stitching of encoders and decoders without additional
training. We extensively validate the adaptability of this translation procedure
in different\r\nexperimental settings: across various trainings, domains, architectures
(e.g., ResNet, CNN, ViT), and in multiple downstream tasks (classification, reconstruction).
Notably, we show how it is possible to zero-shot stitch text encoders and vision
decoders, or vice-versa, yielding surprisingly good classification performance
in this multimodal setting."
acknowledgement: "This work is supported by the ERC grant no.802554 (SPECGEO), PRIN
2020 project no.2020TA3K9N (LEGO.AI), and PNRR MUR project PE0000013-FAIR. Francesco\r\nLocatello
did not contribute to this work at Amazon."
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Valentino
full_name: Maiorca, Valentino
last_name: Maiorca
- first_name: Luca
full_name: Moschella, Luca
last_name: Moschella
- first_name: Antonio
full_name: Norelli, Antonio
last_name: Norelli
- first_name: Marco
full_name: Fumero, Marco
last_name: Fumero
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Emanuele
full_name: Rodolà, Emanuele
last_name: Rodolà
citation:
ama: 'Maiorca V, Moschella L, Norelli A, Fumero M, Locatello F, Rodolà E. Latent
space translation via semantic alignment. In: 37th Conference on Neural Information
Processing Systems. Neural Information Processing Systems Foundation; 2023:55394-55414.
doi:10.52202/075280-2418'
apa: 'Maiorca, V., Moschella, L., Norelli, A., Fumero, M., Locatello, F., &
Rodolà, E. (2023). Latent space translation via semantic alignment. In 37th
Conference on Neural Information Processing Systems (pp. 55394–55414). New
Orleans, LA, United States: Neural Information Processing Systems Foundation.
https://doi.org/10.52202/075280-2418'
chicago: Maiorca, Valentino, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco
Locatello, and Emanuele Rodolà. “Latent Space Translation via Semantic Alignment.”
In 37th Conference on Neural Information Processing Systems, 55394–414.
Neural Information Processing Systems Foundation, 2023. https://doi.org/10.52202/075280-2418.
ieee: V. Maiorca, L. Moschella, A. Norelli, M. Fumero, F. Locatello, and E. Rodolà,
“Latent space translation via semantic alignment,” in 37th Conference on Neural
Information Processing Systems, New Orleans, LA, United States, 2023, pp.
55394–55414.
ista: 'Maiorca V, Moschella L, Norelli A, Fumero M, Locatello F, Rodolà E. 2023.
Latent space translation via semantic alignment. 37th Conference on Neural Information
Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in
Neural Information Processing Systems, , 55394–55414.'
mla: Maiorca, Valentino, et al. “Latent Space Translation via Semantic Alignment.”
37th Conference on Neural Information Processing Systems, Neural Information
Processing Systems Foundation, 2023, pp. 55394–414, doi:10.52202/075280-2418.
short: V. Maiorca, L. Moschella, A. Norelli, M. Fumero, F. Locatello, E. Rodolà,
in:, 37th Conference on Neural Information Processing Systems, Neural Information
Processing Systems Foundation, 2023, pp. 55394–55414.
conference:
end_date: 2026-12-16
location: New Orleans, LA, United States
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2023-12-10
das_tickbox: '0'
date_created: 2024-02-07T15:08:55Z
date_published: 2023-12-01T00:00:00Z
date_updated: 2026-07-29T08:24:56Z
day: '01'
ddc:
- '000'
department:
- _id: FrLo
doi: 10.52202/075280-2418
external_id:
arxiv:
- '2311.00664'
file:
- access_level: open_access
checksum: 44ec045f30f8e25ce1c8ee70feffc9b4
content_type: application/pdf
creator: dernst
date_created: 2026-07-29T08:23:16Z
date_updated: 2026-07-29T08:23:16Z
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file_name: 2023_Neurips_Malorca.pdf
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fulldoi: https://doi.org/10.52202/075280-2418
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language:
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month: '12'
oa: 1
oa_version: Published Version
page: 55394-55414
publication: 37th Conference on Neural Information Processing Systems
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
researchdata_availability: no
status: public
supplementarymaterial: yes
title: Latent space translation via semantic alignment
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
OA_place: publisher
OA_type: gold
_id: '14207'
abstract:
- lang: eng
text: The binding problem in human cognition, concerning how the brain represents
and connects objects within a fixed network of neural connections, remains a subject
of intense debate. Most machine learning efforts addressing this issue in an unsupervised
setting have focused on slot-based methods, which may be limiting due to their
discrete nature and difficulty to express uncertainty. Recently, the Complex AutoEncoder
was proposed as an alternative that learns continuous and distributed object-centric
representations. However, it is only applicable to simple toy data. In this paper,
we present Rotating Features, a generalization of complex-valued features to higher
dimensions, and a new evaluation procedure for extracting objects from distributed
representations. Additionally, we show the applicability of our approach to pre-trained
features. Together, these advancements enable us to scale distributed object-centric
representations from simple toy to real-world data. We believe this work advances
a new paradigm for addressing the binding problem in machine learning and has
the potential to inspire further innovation in the field.
acknowledgement: "We thank Jascha Sohl-Dickstein and Sjoerd van Steenkiste for insightful
discussions. Francesco\r\nLocatello worked on this paper outside of Amazon. Sindy
Lowe was supported by the Google PhD ¨Fellowship.\r\n"
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Sindy
full_name: Löwe, Sindy
last_name: Löwe
- first_name: Phillip
full_name: Lippe, Phillip
last_name: Lippe
- first_name: Francesco
full_name: Locatello, Francesco
id: 26cfd52f-2483-11ee-8040-88983bcc06d4
last_name: Locatello
orcid: 0000-0002-4850-0683
- first_name: Max
full_name: Welling, Max
last_name: Welling
citation:
ama: 'Löwe S, Lippe P, Locatello F, Welling M. Rotating features for object discovery.
In: 37th Conference on Neural Information Processing Systems. Vol 36. Neural
Information Processing Systems Foundation; 2023.'
apa: 'Löwe, S., Lippe, P., Locatello, F., & Welling, M. (2023). Rotating features
for object discovery. In 37th Conference on Neural Information Processing Systems
(Vol. 36). New Orleans, LA, United States: Neural Information Processing Systems
Foundation.'
chicago: Löwe, Sindy, Phillip Lippe, Francesco Locatello, and Max Welling. “Rotating
Features for Object Discovery.” In 37th Conference on Neural Information Processing
Systems, Vol. 36. Neural Information Processing Systems Foundation, 2023.
ieee: S. Löwe, P. Lippe, F. Locatello, and M. Welling, “Rotating features for object
discovery,” in 37th Conference on Neural Information Processing Systems,
New Orleans, LA, United States, 2023, vol. 36.
ista: 'Löwe S, Lippe P, Locatello F, Welling M. 2023. Rotating features for object
discovery. 37th Conference on Neural Information Processing Systems. NeurIPS:
Neural Information Processing Systems, Advances in Neural Information Processing
Systems, vol. 36.'
mla: Löwe, Sindy, et al. “Rotating Features for Object Discovery.” 37th Conference
on Neural Information Processing Systems, vol. 36, Neural Information Processing
Systems Foundation, 2023.
short: S. Löwe, P. Lippe, F. Locatello, M. Welling, in:, 37th Conference on Neural
Information Processing Systems, Neural Information Processing Systems Foundation,
2023.
conference:
end_date: 2023-12-16
location: New Orleans, LA, United States
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2023-12-10
das_tickbox: '0'
date_created: 2023-08-22T14:18:00Z
date_published: 2023-09-21T00:00:00Z
date_updated: 2026-07-29T07:36:23Z
day: '21'
ddc:
- '000'
department:
- _id: FrLo
external_id:
arxiv:
- '2306.00600'
file:
- access_level: open_access
checksum: 67860dc8ce60f60cfa366baa623f6a55
content_type: application/pdf
creator: dernst
date_created: 2026-07-29T07:35:33Z
date_updated: 2026-07-29T07:35:33Z
file_id: '22603'
file_name: 2026_Neurips_Loewe.pdf
file_size: 10788023
relation: main_file
success: 1
file_date_updated: 2026-07-29T07:35:33Z
has_accepted_license: '1'
intvolume: ' 36'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: 37th Conference on Neural Information Processing Systems
publication_identifier:
issn:
- 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Rotating features for object discovery
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2023'
...