---
OA_place: publisher
_id: '20074'
abstract:
- lang: eng
  text: "Prenatal immune challenges pose significant risks to human embryonic brain
    and eye development. However, we still lack knowledge about the safe usage of
    anti-inflammatory drugs during pregnancy. Human induced pluripotent stem cell
    (hIPSC)-derived brain organoid models provide a unique opportunity to investigate
    neuronal development and have started to explore functional consequences upon
    viral infection. However, brain organoids usually lack microglia, the brain-resident
    immune cells. They are present in the early human embryonic brain and actively
    participate in neuronal circuit development. At the same time, microglia are known
    for their immune-sensing properties and will influence viral-mediated effects.
    In my thesis, I was interested to study the multifunctional role of human microglia
    during retinal development. \r\nIn chapter 1, I characterize the innate occurrence
    of IBA1+-microglia-like cells within the retinal organoid differentiation (Bartalska
    et al., 2022). Therefore, we differentiate hIPSC using an unguided retinal organoid
    differentiation protocol and observe the presence of IBA1+-microglia-like cells
    alongside retinal cups between week 3 and 4 in 2.5D culture. However, instead
    of infiltrating the neuroectodermal sides, they enrich within non-pigmented, 3D-cystic
    compartments that develop in low numbers parallel to 3D-retinal organoids. To
    enrich for IBA1+-microglia precursors (preMG), we guided the differentiation with
    a low-dosed BMP4 application, which prevents retinal cup development and enhances
    microglia and 3D-cysts formation. We characterize the differentiated preMG for
    their microglia-like identity and validated their functionality. In parallel,
    mass spectrometry identifies the 3D-cysts to express mesenchymal and epithelial
    markers. We confirm that comparable 3D-cysts are also the preferential environment
    for IBA1+-microglia-like cells within the unguided retinal organoid differentiation.
    \r\nIn chapter 2, I investigate how microglia influence retinal development and
    whether they contribute to viral-mediated consequences (Schmied et al., 2025).
    Here, we assemble preMG, which we have characterized in chapter 1, into 3D-retinal
    organoids. Once the outer plexiform layer forms, microglia-like cells (iMG) populate
    them and interact with retinal cell types. However, at this developmental stage,
    the ganglion cell number decreases in 3D-retinal organoids. Thus, we adapted the
    model into 2D which promotes their survival. Integrated iMG engulf ganglion cells
    and control their cell number. In parallel, we apply the immunostimulant POLY(I:C)
    to mimic a fetal viral infection. Although POLY(I:C) stimulation affects iMG phenotype,
    it does not influence their interaction with ganglion cells. Furthermore, iMG
    presence significantly contributes to the supernatant’s inflammatory secretome
    and increases retinal cell proliferation. Simultaneous exposure to the non-steroidal
    anti-inflammatory drug (NSAID) ibuprofen dampens POLY(I:C)-mediated consequences
    of the iMG phenotype and ameliorates cell proliferation. Remarkably, while POLY(I:C)
    disrupts neuronal calcium dynamics independent of iMG presence, ibuprofen rescues
    this effect only in the presence of iMG. Mechanistically, ibuprofen blocks the
    enzymes cyclooxygenase 1 and 2 (COX1/ PTGS1 and COX2/ PTGS2) simultaneously, from
    which iMG predominantly express COX1. Selective inhibition of COX1 does not restore
    the calcium peak amplitude upon POLY(I:C) stimulation, indicating ibuprofen’s
    effect depends on the presence and interplay of both, COX1 and COX2. \r\nIn summary,
    we characterized the 3D-retinal organoid model for the occurrence of IBA1+-microglia
    like cells. As the innately developing IBA1+-cells enrich in mesenchymal over
    retinal structures, we optimized a protocol to differentiate IBA1+-microglia precursors.
    By combining these two models we generate microglia-assembled retinal organoids.
    Our results underscore the importance of microglia during neurodevelopment, in
    the context of prenatal immune challenges and provide insight into the mechanisms
    by which ibuprofen exerts its protective effects during embryonic development."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Verena
  full_name: Hübschmann, Verena
  id: 32B7C918-F248-11E8-B48F-1D18A9856A87
  last_name: Hübschmann
citation:
  ama: Schmied V. Human microglia impact neuronal development in retinal organoids.
    2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20074">10.15479/AT-ISTA-20074</a>
  apa: Schmied, V. (2025). <i>Human microglia impact neuronal development in retinal
    organoids</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20074">https://doi.org/10.15479/AT-ISTA-20074</a>
  chicago: Schmied, Verena. “Human Microglia Impact Neuronal Development in Retinal
    Organoids.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20074">https://doi.org/10.15479/AT-ISTA-20074</a>.
  ieee: V. Schmied, “Human microglia impact neuronal development in retinal organoids,”
    Institute of Science and Technology Austria, 2025.
  ista: Schmied V. 2025. Human microglia impact neuronal development in retinal organoids.
    Institute of Science and Technology Austria.
  mla: Schmied, Verena. <i>Human Microglia Impact Neuronal Development in Retinal
    Organoids</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20074">10.15479/AT-ISTA-20074</a>.
  short: V. Schmied, Human Microglia Impact Neuronal Development in Retinal Organoids,
    Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-07-24T12:37:22Z
date_published: 2025-07-24T00:00:00Z
date_updated: 2026-08-12T08:45:16Z
day: '24'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: SaSi
doi: 10.15479/AT-ISTA-20074
doi_confirm: '1'
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month: '07'
oa: 1
oa_version: Published Version
page: '151'
project:
- _id: 9B99D380-BA93-11EA-9121-9846C619BF3A
  grant_number: SC19-017
  name: How human microglia shape developing neurons during health and inflammation
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  isbn:
  - 978-3-99078-060-2
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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    status: public
status: public
supervisor:
- first_name: Sandra
  full_name: Siegert, Sandra
  id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
  last_name: Siegert
  orcid: 0000-0001-8635-0877
title: Human microglia impact neuronal development in retinal organoids
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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  short: CC BY (4.0)
type: dissertation
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
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OA_place: publisher
OA_type: gold
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_id: '20342'
abstract:
- lang: eng
  text: Safety and liveness stand as fundamental concepts in formal languages, playing
    a key role in verification. The safety-liveness classification of boolean properties
    characterizes whether a given property can be falsified by observing a finite
    prefix of an infinite computation trace (always for safety, never for liveness).
    In the quantitative setting, properties are arbitrary functions from infinite
    words to partially-ordered domains. Extending this paradigm to the quantitative
    domain, where properties are arbitrary functions mapping infinite words to partially-ordered
    domains, we introduce and study the notions of quantitative safety and liveness.
    First, we formally define quantitative safety and liveness, and prove that our
    definitions induce conservative quantitative generalizations of both the safety-progress
    hierarchy and the safety-liveness decomposition of boolean properties. Consequently,
    like their boolean counterparts, quantitative properties can be min-decomposed
    into safety and liveness parts, or alternatively, max-decomposed into co-safety
    and co-liveness parts. We further establish a connection between quantitative
    safety and topological continuity and provide alternative characterizations of
    quantitative safety and liveness in terms of their boolean analogs. Second, we
    instantiate our framework with the specific classes of quantitative properties
    expressed by automata. These quantitative automata contain finitely many states
    and rational-valued transition weights, and their common value functions Inf,
    Sup, LimInf, LimSup, LimInfAvg, LimSupAvg, and DSum map infinite words into the
    totally-ordered domain of real numbers. For all common value functions, we provide
    a procedure for deciding whether a given automaton is safe or live, we show how
    to construct its safety closure, and we present a min-decomposition into safe
    and live automata.
acknowledgement: This work was supported in part by the ERC-2020-AdG 101020093 and
  the Israel Science Foundation grant 2410/22. N. Mazzocchi was affiliated with ISTA
  when this work was submitted for publication.
article_number: '13149'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Udi
  full_name: Boker, Udi
  id: 31E297B6-F248-11E8-B48F-1D18A9856A87
  last_name: Boker
- first_name: Thomas A
  full_name: Henzinger, Thomas A
  id: 40876CD8-F248-11E8-B48F-1D18A9856A87
  last_name: Henzinger
  orcid: 0000-0002-2985-7724
- first_name: Nicolas Adrien
  full_name: Mazzocchi, Nicolas Adrien
  id: b26baa86-3308-11ec-87b0-8990f34baa85
  last_name: Mazzocchi
- first_name: Naci E
  full_name: Sarac, Naci E
  id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425
  last_name: Sarac
citation:
  ama: Boker U, Henzinger TA, Mazzocchi NA, Sarac NE. Safety and liveness of quantitative
    properties and automata. <i>Logical Methods in Computer Science</i>. 2025;21(2).
    doi:<a href="https://doi.org/10.46298/lmcs-21(2:2)2025">10.46298/lmcs-21(2:2)2025</a>
  apa: Boker, U., Henzinger, T. A., Mazzocchi, N. A., &#38; Sarac, N. E. (2025). Safety
    and liveness of quantitative properties and automata. <i>Logical Methods in Computer
    Science</i>. EPI Sciences. <a href="https://doi.org/10.46298/lmcs-21(2:2)2025">https://doi.org/10.46298/lmcs-21(2:2)2025</a>
  chicago: Boker, Udi, Thomas A Henzinger, Nicolas Adrien Mazzocchi, and Naci E Sarac.
    “Safety and Liveness of Quantitative Properties and Automata.” <i>Logical Methods
    in Computer Science</i>. EPI Sciences, 2025. <a href="https://doi.org/10.46298/lmcs-21(2:2)2025">https://doi.org/10.46298/lmcs-21(2:2)2025</a>.
  ieee: U. Boker, T. A. Henzinger, N. A. Mazzocchi, and N. E. Sarac, “Safety and liveness
    of quantitative properties and automata,” <i>Logical Methods in Computer Science</i>,
    vol. 21, no. 2. EPI Sciences, 2025.
  ista: Boker U, Henzinger TA, Mazzocchi NA, Sarac NE. 2025. Safety and liveness of
    quantitative properties and automata. Logical Methods in Computer Science. 21(2),
    13149.
  mla: Boker, Udi, et al. “Safety and Liveness of Quantitative Properties and Automata.”
    <i>Logical Methods in Computer Science</i>, vol. 21, no. 2, 13149, EPI Sciences,
    2025, doi:<a href="https://doi.org/10.46298/lmcs-21(2:2)2025">10.46298/lmcs-21(2:2)2025</a>.
  short: U. Boker, T.A. Henzinger, N.A. Mazzocchi, N.E. Sarac, Logical Methods in
    Computer Science 21 (2025).
corr_author: '1'
date_created: 2025-09-11T12:17:52Z
date_published: 2025-04-08T00:00:00Z
date_updated: 2026-08-12T08:46:05Z
day: '08'
ddc:
- '000'
department:
- _id: GradSch
- _id: ToHe
doi: 10.46298/lmcs-21(2:2)2025
ec_funded: 1
external_id:
  arxiv:
  - '2307.06016'
  isi:
  - '001468887900001'
file:
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  checksum: 0b4d477bd981379724c35a4de2c176e5
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fulldoi: https://doi.org/10.46298/lmcs-21(2:2)2025
has_accepted_license: '1'
intvolume: '        21'
isi: 1
issue: '2'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: 62781420-2b32-11ec-9570-8d9b63373d4d
  call_identifier: H2020
  grant_number: '101020093'
  name: Vigilant Algorithmic Monitoring of Software
publication: Logical Methods in Computer Science
publication_identifier:
  eissn:
  - 1860-5974
publication_status: published
publisher: EPI Sciences
quality_controlled: '1'
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    status: public
scopus_import: '1'
status: public
title: Safety and liveness of quantitative properties and automata
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: 21
year: '2025'
...
---
OA_place: publisher
_id: '20167'
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: "This work was supported by EMBO (ALTF 302-2019 to Niko Amin-Wetzel),
  the FWF\r\n(ESPRIT PR1054E140 to Niko Amin-Wetzel), the European Research Council\r\n(Advanced
  Grant 269058 to Mario de Bono) and Wellcome (209504/A/17/Z\r\nInvestigator Award
  to Mario de Bono). "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Hanna
  full_name: Schön, Hanna
  id: C8E17EDC-D7AA-11E9-B7B7-45ECE5697425
  last_name: Schön
citation:
  ama: Schön H. The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding
    GPCRs. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20167">10.15479/AT-ISTA-20167</a>
  apa: Schön, H. (2025). <i>The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs
    encoding GPCRs</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20167">https://doi.org/10.15479/AT-ISTA-20167</a>
  chicago: Schön, Hanna. “The ER Complex SUTU-7/MACO-1 Regulates the Fate of MRNAs
    Encoding GPCRs.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20167">https://doi.org/10.15479/AT-ISTA-20167</a>.
  ieee: H. Schön, “The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding
    GPCRs,” Institute of Science and Technology Austria, 2025.
  ista: Schön H. 2025. The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding
    GPCRs. Institute of Science and Technology Austria.
  mla: Schön, Hanna. <i>The ER Complex SUTU-7/MACO-1 Regulates the Fate of MRNAs Encoding
    GPCRs</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20167">10.15479/AT-ISTA-20167</a>.
  short: H. Schön, The ER Complex SUTU-7/MACO-1 Regulates the Fate of MRNAs Encoding
    GPCRs, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-08-13T11:13:13Z
date_published: 2025-08-13T00:00:00Z
date_updated: 2026-08-13T13:05:37Z
day: '13'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MaDe
doi: 10.15479/AT-ISTA-20167
doi_confirm: '1'
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  date_created: 2025-09-08T14:33:50Z
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language:
- iso: eng
month: '08'
oa_version: Published Version
page: '171'
project:
- _id: 23870BE8-32DE-11EA-91FC-C7463DDC885E
  grant_number: 209504/A/17/Z
  name: Molecular mechanisms of neural circuit function
- _id: 23813290-32DE-11EA-91FC-C7463DDC885E
  grant_number: ALTF 302-2019
  name: Control of gene expression at the endoplasmic reticulum
publication_identifier:
  isbn:
  - 978-3-99078-061-9
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Mario
  full_name: de Bono, Mario
  id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87
  last_name: de Bono
  orcid: 0000-0001-8347-0443
title: The ER complex SUTU-7/MACO-1 regulates the fate of mRNAs encoding GPCRs
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: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20538'
abstract:
- lang: eng
  text: In this study, we describe an integrated approach for methyl group assignment
    comprising precursor-based selective methyl group labeling, a novel pulse sequence
    for methyl to backbone coherence transfer and chemical shift predictions using
    UCBShift 2.0. The utility of this novel α-ketoacid isotopologue is shown by the
    adaptation of an HMBC-HMQC pulse sequence that simultaneously connects geminal
    methyl groups of leucine and valine residues to each other and to the protein
    backbone. By additional 13C,2H-labeling of residues other than valine and leucine
    residues of the protein, important chemical shift information about neighboring
    residues (following valine and leucine residues) can be achieved. Thus, different
    valine and leucine residues in a protein can be characterized as a specific chemical
    shift vector. Frequency matching with predicted chemical shifts via UCBShift 2.0
    using experimental data taken from a subset of the BMRB database revealed a correct
    assignment performance of about 90%. With applications to proteins of 60.2 kDa
    and 134 kDa (4 × 33.5 kDa) in size, we demonstrate that the approach provides
    valuable information even for very large proteins.
acknowledged_ssus:
- _id: NMR
- _id: LifeSc
acknowledgement: A.L.P and G.T were funded by the “New Ideas” program by Vienna Doctoral
  School in Chemistry. S.K. was funded by the Austrian Science Fund FWF P35098-B.
  This work was supported financially by the Austrian Science Fund (FWF, grant numbers
  I06223 and I5812-B, “AlloSpace”). This research was supported by the Scientific
  Service Units (SSU) of Institute of Science and Technology Austria (ISTA) through
  resources provided by the Nuclear Magnetic Resonance Facility and the Lab Support
  Facility (LSF). We thank Celina Sailer for assistance with the analysis of the NMR
  spectrum of HsTom70.
article_number: '169465'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Sonja
  full_name: Knödlstorfer, Sonja
  last_name: Knödlstorfer
- first_name: Giorgia
  full_name: Toscano, Giorgia
  id: 334a5e40-8747-11f0-b671-ba1f5154b4b4
  last_name: Toscano
- first_name: Aleksandra L.
  full_name: Ptaszek, Aleksandra L.
  last_name: Ptaszek
- first_name: Georg
  full_name: Kontaxis, Georg
  last_name: Kontaxis
- first_name: Federico
  full_name: Napoli, Federico
  id: d42e08e7-f4fc-11eb-af0a-d71e26138f1b
  last_name: Napoli
  orcid: 0000-0002-9043-136X
- first_name: Jakob
  full_name: Schneider, Jakob
  id: 64368429-eb97-11eb-a6c2-c980b1f44415
  last_name: Schneider
- first_name: Katharina
  full_name: Maier, Katharina
  last_name: Maier
- first_name: Anna
  full_name: Kapitonova, Anna
  id: 9fb2a840-89e1-11ee-a8b7-cc5c7ba62471
  last_name: Kapitonova
- first_name: Roman J.
  full_name: Lichtenecker, Roman J.
  last_name: Lichtenecker
- first_name: Paul
  full_name: Schanda, Paul
  id: 7B541462-FAF6-11E9-A490-E8DFE5697425
  last_name: Schanda
  orcid: 0000-0002-9350-7606
- first_name: Robert
  full_name: Konrat, Robert
  last_name: Konrat
citation:
  ama: Knödlstorfer S, Toscano G, Ptaszek AL, et al. A novel HMBC-CC-HMQC NMR strategy
    for methyl assignment using triple-13C-labeled α-ketoisovalerate integrated with
    UCBShift 2.0. <i>Journal of Molecular Biology</i>. 2025;437(23). doi:<a href="https://doi.org/10.1016/j.jmb.2025.169465">10.1016/j.jmb.2025.169465</a>
  apa: Knödlstorfer, S., Toscano, G., Ptaszek, A. L., Kontaxis, G., Napoli, F., Schneider,
    J., … Konrat, R. (2025). A novel HMBC-CC-HMQC NMR strategy for methyl assignment
    using triple-13C-labeled α-ketoisovalerate integrated with UCBShift 2.0. <i>Journal
    of Molecular Biology</i>. Elsevier. <a href="https://doi.org/10.1016/j.jmb.2025.169465">https://doi.org/10.1016/j.jmb.2025.169465</a>
  chicago: Knödlstorfer, Sonja, Giorgia Toscano, Aleksandra L. Ptaszek, Georg Kontaxis,
    Federico Napoli, Jakob Schneider, Katharina Maier, et al. “A Novel HMBC-CC-HMQC
    NMR Strategy for Methyl Assignment Using Triple-13C-Labeled α-Ketoisovalerate
    Integrated with UCBShift 2.0.” <i>Journal of Molecular Biology</i>. Elsevier,
    2025. <a href="https://doi.org/10.1016/j.jmb.2025.169465">https://doi.org/10.1016/j.jmb.2025.169465</a>.
  ieee: S. Knödlstorfer <i>et al.</i>, “A novel HMBC-CC-HMQC NMR strategy for methyl
    assignment using triple-13C-labeled α-ketoisovalerate integrated with UCBShift
    2.0,” <i>Journal of Molecular Biology</i>, vol. 437, no. 23. Elsevier, 2025.
  ista: Knödlstorfer S, Toscano G, Ptaszek AL, Kontaxis G, Napoli F, Schneider J,
    Maier K, Kapitonova A, Lichtenecker RJ, Schanda P, Konrat R. 2025. A novel HMBC-CC-HMQC
    NMR strategy for methyl assignment using triple-13C-labeled α-ketoisovalerate
    integrated with UCBShift 2.0. Journal of Molecular Biology. 437(23), 169465.
  mla: Knödlstorfer, Sonja, et al. “A Novel HMBC-CC-HMQC NMR Strategy for Methyl Assignment
    Using Triple-13C-Labeled α-Ketoisovalerate Integrated with UCBShift 2.0.” <i>Journal
    of Molecular Biology</i>, vol. 437, no. 23, 169465, Elsevier, 2025, doi:<a href="https://doi.org/10.1016/j.jmb.2025.169465">10.1016/j.jmb.2025.169465</a>.
  short: S. Knödlstorfer, G. Toscano, A.L. Ptaszek, G. Kontaxis, F. Napoli, J. Schneider,
    K. Maier, A. Kapitonova, R.J. Lichtenecker, P. Schanda, R. Konrat, Journal of
    Molecular Biology 437 (2025).
date_created: 2025-10-26T23:01:35Z
date_published: 2025-12-01T00:00:00Z
date_updated: 2026-08-13T14:19:02Z
day: '01'
ddc:
- '540'
department:
- _id: PaSc
- _id: GradSch
doi: 10.1016/j.jmb.2025.169465
external_id:
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  - '41016549'
file:
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intvolume: '       437'
issue: '23'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
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project:
- _id: bdb9578d-d553-11ed-ba76-ed5d39fce6f0
  grant_number: I06223
  name: Structure and mechanism of the mitochondrial MIM insertase
- _id: eb9c82eb-77a9-11ec-83b8-aadd536561cf
  grant_number: I05812
  name: AlloSpace. The emergence and mechanisms of allostery
publication: Journal of Molecular Biology
publication_identifier:
  eissn:
  - 1089-8638
  issn:
  - 0022-2836
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: A novel HMBC-CC-HMQC NMR strategy for methyl assignment using triple-13C-labeled
  α-ketoisovalerate integrated with UCBShift 2.0
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: 437
year: '2025'
...
---
OA_place: publisher
_id: '19395'
abstract:
- lang: eng
  text: "Plant growth and development rely significantly on phytohormones, with auxin
    serving as a master regulator, orchestrating processes from embryogenesis to organogenesis,
    vascular patterning, and environmental adaptation. Since its conceptual proposition
    by Charles Darwin in 1880 as an endogenous chemical signal influencing phototropism
    in grass, auxin has captivated scientists seeking to understand how such a small
    molecule exerts a profound influence on plant development.\r\nOne particularly
    fascinating aspect of auxin function is its ability to self-organize its transport.
    Through a feedback mechanism between auxin perception and directional transport—primarily
    mediated by PIN auxin transporters—auxin establishes narrow transport channels.
    This phenomenon, known as auxin canalization, is fundamental to vascular formation,
    regeneration, and other key developmental processes. Despite advances in our understanding,
    driven by experimental studies and computational models, auxin canalization remains
    an enigma, with many unanswered questions.\r\nLike other hormones, auxin functions
    through intricate signaling pathways. It operates through at least two distinct
    signaling mechanisms: the well-characterized canonical pathway and the less understood
    non-canonical pathway. While significant progress has been made in elucidating
    the canonical pathway, the non-canonical mechanisms remain less defined and require
    further investigation.\r\nIn this study, we revisit the non-canonical auxin signaling
    pathway mediated by the cell-surface complex Auxin Binding Protein 1-Transmembrane
    Kinase 1 (ABP1-TMK1), with a particular focus on its downstream phosphorylation
    events. We reveal that this auxin-mediated phosphorylation is conserved across
    the green lineage, underscoring its fundamental role in plant development. We
    explore key phosphorylation targets, particularly PIN2, which is essential for
    root gravitropism. To further understand TMK1’s role in diverse developmental
    processes, we identified and investigated its interactors as potential co-receptors
    or regulatory components within its signaling network.\r\nGiven the previously
    established role of ABP1-TMK1 in auxin canalization, we sought to further investigate
    this process and identified several TMK1 interactors also involved in this intricate
    mechanism.\r\nThese findings provide new insights into the complex regulation
    of auxin canalization, highlighting a broader and more interconnected signaling
    framework than previously understood."
acknowledged_ssus:
- _id: LifeSc
- _id: Bio
acknowledgement: I would like to acknowledge the facilities at ISTA, particularly
  LSF, IOF, and, of course, the plant facility, for providing the necessary resources
  for my research.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Aline
  full_name: Monzer, Aline
  id: 2DB5D88C-D7B3-11E9-B8FD-7907E6697425
  last_name: Monzer
citation:
  ama: 'Monzer A. Cell-surface auxin signaling: Linking molecular pathways to plant
    development. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-19395">10.15479/AT-ISTA-19395</a>'
  apa: 'Monzer, A. (2025). <i>Cell-surface auxin signaling: Linking molecular pathways
    to plant development</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-19395">https://doi.org/10.15479/AT-ISTA-19395</a>'
  chicago: 'Monzer, Aline. “Cell-Surface Auxin Signaling: Linking Molecular Pathways
    to Plant Development.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-19395">https://doi.org/10.15479/AT-ISTA-19395</a>.'
  ieee: 'A. Monzer, “Cell-surface auxin signaling: Linking molecular pathways to plant
    development,” Institute of Science and Technology Austria, 2025.'
  ista: 'Monzer A. 2025. Cell-surface auxin signaling: Linking molecular pathways
    to plant development. Institute of Science and Technology Austria.'
  mla: 'Monzer, Aline. <i>Cell-Surface Auxin Signaling: Linking Molecular Pathways
    to Plant Development</i>. Institute of Science and Technology Austria, 2025, doi:<a
    href="https://doi.org/10.15479/AT-ISTA-19395">10.15479/AT-ISTA-19395</a>.'
  short: 'A. Monzer, Cell-Surface Auxin Signaling: Linking Molecular Pathways to Plant
    Development, Institute of Science and Technology Austria, 2025.'
corr_author: '1'
date_created: 2025-03-12T14:25:42Z
date_published: 2025-03-13T00:00:00Z
date_updated: 2026-08-14T09:33:46Z
day: '13'
ddc:
- '580'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JiFr
doi: 10.15479/AT-ISTA-19395
doi_confirm: '1'
file:
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file_date_updated: 2025-04-01T07:55:27Z
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has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: '160'
publication_identifier:
  eisbn:
  - 978-3-99078-054-1
  eissn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '12291'
    relation: part_of_dissertation
    status: public
  - id: '14826'
    relation: part_of_dissertation
    status: public
  - id: '19399'
    relation: part_of_dissertation
    status: public
  - id: '19398'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
title: 'Cell-surface auxin signaling: Linking molecular pathways to plant development'
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '19398'
abstract:
- lang: eng
  text: Receptor-like kinases (RLKs), particularly the Transmembrane Kinase (TMK)
    family, play essential roles in signaling and development, with TMKs being key
    components of auxin perception and downstream phosphorylation events. While TMKs’
    involvement in auxin canalization, a process essential for vasculature formation
    and regeneration, has been established, nonetheless, the additional signaling
    and regulatory partners remain poorly understood. In this study, we identify and
    characterize seven leucine-rich repeat RLKs (TINT1–TINT7) as novel interactors
    of TMK1, revealing their diverse evolutionary, structural, and functional characteristics.
    Our results show that TINTs interact with TMK1 and highlight their roles in regulating
    various developmental processes. Majority of TINTs contributes, together with
    TMK1, to auxin canalization, with TINT5 linking TMK1 to other canalization component
    CAMEL. Beyond canalization, we also establish the role of TINT-TMK1 interactions
    in processes such as stomatal movement and the hypocotyl’s gravitropic response.
    These findings suggest that TINTs, through their interaction with TMK1, are integral
    components of various signaling networks, contributing to both auxin canalization
    and broader plant development.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: We deeply appreciate M. Wrzaczek’s constructive input and insightful
  discussions, which significantly enriched this work. We thank L. Fiedler for helping
  with the heat map and for the discussions. We also thank the facilities at ISTA,
  the imaging and optics (IOF) and Lab Support (LSF) facilities for their service
  and assistance.
article_processing_charge: No
author:
- first_name: Aline
  full_name: Monzer, Aline
  id: 2DB5D88C-D7B3-11E9-B8FD-7907E6697425
  last_name: Monzer
- first_name: Ewa
  full_name: Mazur, Ewa
  last_name: Mazur
- first_name: Lesia
  full_name: Rodriguez Solovey, Lesia
  id: 3922B506-F248-11E8-B48F-1D18A9856A87
  last_name: Rodriguez Solovey
  orcid: 0000-0002-7244-7237
- first_name: Michelle C
  full_name: Gallei, Michelle C
  id: 35A03822-F248-11E8-B48F-1D18A9856A87
  last_name: Gallei
  orcid: 0000-0003-1286-7368
- first_name: Minxia
  full_name: Zou, Minxia
  id: 5c243f41-03f3-11ec-841c-96faf48a7ef9
  last_name: Zou
- first_name: Michael
  full_name: Smejkal, Michael
  id: 79a5a1be-04a3-11f0-ba18-a1730e0b58e9
  last_name: Smejkal
- first_name: Ema
  full_name: Cervenova, Ema
  id: 9f185b95-04a3-11f0-8245-f5e32eeb470f
  last_name: Cervenova
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
citation:
  ama: Monzer A, Mazur E, Rodriguez Solovey L, et al. TMK interacting network of receptor
    like kinases for auxin canalization and beyond. <i>bioRxiv</i>. doi:<a href="https://doi.org/10.1101/2025.02.28.640727">10.1101/2025.02.28.640727</a>
  apa: Monzer, A., Mazur, E., Rodriguez Solovey, L., Gallei, M. C., Zou, M., Smejkal,
    M., … Friml, J. (n.d.). TMK interacting network of receptor like kinases for auxin
    canalization and beyond. <i>bioRxiv</i>. <a href="https://doi.org/10.1101/2025.02.28.640727">https://doi.org/10.1101/2025.02.28.640727</a>
  chicago: Monzer, Aline, Ewa Mazur, Lesia Rodriguez Solovey, Michelle C Gallei, Minxia
    Zou, Michael Smejkal, Ema Cervenova, and Jiří Friml. “TMK Interacting Network
    of Receptor like Kinases for Auxin Canalization and Beyond.” <i>BioRxiv</i>, n.d.
    <a href="https://doi.org/10.1101/2025.02.28.640727">https://doi.org/10.1101/2025.02.28.640727</a>.
  ieee: A. Monzer <i>et al.</i>, “TMK interacting network of receptor like kinases
    for auxin canalization and beyond,” <i>bioRxiv</i>. .
  ista: Monzer A, Mazur E, Rodriguez Solovey L, Gallei MC, Zou M, Smejkal M, Cervenova
    E, Friml J. TMK interacting network of receptor like kinases for auxin canalization
    and beyond. bioRxiv, <a href="https://doi.org/10.1101/2025.02.28.640727">10.1101/2025.02.28.640727</a>.
  mla: Monzer, Aline, et al. “TMK Interacting Network of Receptor like Kinases for
    Auxin Canalization and Beyond.” <i>BioRxiv</i>, doi:<a href="https://doi.org/10.1101/2025.02.28.640727">10.1101/2025.02.28.640727</a>.
  short: A. Monzer, E. Mazur, L. Rodriguez Solovey, M.C. Gallei, M. Zou, M. Smejkal,
    E. Cervenova, J. Friml, BioRxiv (n.d.).
corr_author: '1'
das_tickbox: '1'
date_created: 2025-03-12T14:28:53Z
date_published: 2025-03-02T00:00:00Z
date_updated: 2026-08-14T09:33:45Z
day: '02'
ddc:
- '580'
department:
- _id: GradSch
- _id: JiFr
- _id: EvBe
doi: 10.1101/2025.02.28.640727
fulldoi: https://doi.org/10.1101/2025.02.28.640727
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2025.02.28.640727
month: '03'
oa: 1
oa_version: Published Version
publication: bioRxiv
publication_status: draft
related_material:
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    relation: dissertation_contains
    status: public
status: public
title: TMK interacting network of receptor like kinases for auxin canalization and
  beyond
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: publisher
_id: '19684'
abstract:
- lang: eng
  text: "The overarching goal of this thesis is to break down the complexity of turbulent
    flows in terms of enumerable, coherent structures and patterns. In a five-paper
    series, we adopt a variety of perspectives and techniques to relate the properties
    of systems of increasing complexity to their underlying coherent structures. \r\n\r\nInitially,
    we take a dynamical systems point of view, seeing turbulent flow as a chaotic
    trajectory bouncing between exact unstable solutions of the underlying equations
    of motion. Using persistent homology, the main tool of topological data analysis
    capturing the persistence across scales of topological features in a point cloud,
    we introduce a method that quantifies visits of turbulent trajectories to unstable
    time-periodic solutions, also called periodic orbits. We demonstrate this method
    first in the Rössler and Kuramoto–Sivashinsky systems. Using this method in 3D
    Kolmogorov flow, we extract a Markov chain from turbulent data, where each node
    corresponds to the neighbourhood of a periodic orbit. The invariant distribution
    of this Markov chain reproduces expectation values on turbulent data when it is
    used to weight averages on the respective periodic orbits.\r\n\r\nIn more realistic,
    wall-bounded settings, such as plane-Couette flow (pcf) driven by the relative
    motion of the walls, or plane-Poiseuille flow (ppf) driven by a pressure gradient,
    finding exact solutions is difficult. We use dynamic mode decomposition (DMD),
    a dimensionality reduction method for sequential data, to identify and approximate
    low-dimensional dynamics without knowing any exact solutions. Most spatially-extended
    systems are equivariant under translations, and in such cases spatial drifts dominate
    DMD, hindering its use in the search for and modelling of low-dimensional dynamics.
    We augment DMD with a symmetry reduction method trained on turbulent data to stop
    it from seeing translations as a feature, improving its ability to extract dynamical
    information in translation-equivariant systems. We find segments of turbulent
    trajectories that linearize well with their symmetry-reduced DMD spectra, akin
    to dynamics near exact solutions. Searching for harmonics in the spectra gives
    leads for periodic orbits with spatial drifts, one of which converges to a new
    solution.\r\n\r\nIn larger domains, turbulence can localize and coexist with surrounding
    laminar flow. Our preceding approaches are global, taking all of a domain into
    account at once, and cannot readily treat each localized patch individually. Working
    first in a minimal oblique domain that can host a single 1D-localized turbulent
    patch, we find that turbulence in ppf is connected to a stable periodic orbit
    at a flow velocity much lower than when turbulence is first onset. We show that,
    well in advance of sustained turbulence, chaos sets in explosively, and for long
    time horizons, time series are consistent with that of a random process.\r\n\r\nFinally,
    in much larger domains, we study and compare 2D-localized turbulence that appears
    as large-scale inclined structures, called stripes, in ppf and pcf. While appearing
    similar, we find that stripes in these two settings differ significantly in terms
    of how they sustain themselves, and in higher velocities, how they proliferate."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "The work in this thesis was supported by a grant from the Simons
  Foundation (662960, BH).\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Gökhan
  full_name: Yalniz, Gökhan
  id: 66E74FA2-D8BF-11E9-8249-8DE2E5697425
  last_name: Yalniz
  orcid: 0000-0002-8490-9312
citation:
  ama: 'Yalniz G. Transition to turbulence: Data-, solution-, and pattern-driven approaches.
    2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-19684">10.15479/AT-ISTA-19684</a>'
  apa: 'Yalniz, G. (2025). <i>Transition to turbulence: Data-, solution-, and pattern-driven
    approaches</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-19684">https://doi.org/10.15479/AT-ISTA-19684</a>'
  chicago: 'Yalniz, Gökhan. “Transition to Turbulence: Data-, Solution-, and Pattern-Driven
    Approaches.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-19684">https://doi.org/10.15479/AT-ISTA-19684</a>.'
  ieee: 'G. Yalniz, “Transition to turbulence: Data-, solution-, and pattern-driven
    approaches,” Institute of Science and Technology Austria, 2025.'
  ista: 'Yalniz G. 2025. Transition to turbulence: Data-, solution-, and pattern-driven
    approaches. Institute of Science and Technology Austria.'
  mla: 'Yalniz, Gökhan. <i>Transition to Turbulence: Data-, Solution-, and Pattern-Driven
    Approaches</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-19684">10.15479/AT-ISTA-19684</a>.'
  short: 'G. Yalniz, Transition to Turbulence: Data-, Solution-, and Pattern-Driven
    Approaches, Institute of Science and Technology Austria, 2025.'
corr_author: '1'
date_created: 2025-05-12T15:12:28Z
date_published: 2025-05-13T00:00:00Z
date_updated: 2026-09-02T08:16:32Z
day: '13'
ddc:
- '514'
- '519'
- '532'
- '004'
degree_awarded: PhD
department:
- _id: GradSch
- _id: BjHo
doi: 10.15479/AT-ISTA-19684
doi_confirm: '1'
file:
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  date_created: 2025-05-12T15:13:28Z
  date_updated: 2025-05-12T15:13:28Z
  file_id: '19685'
  file_name: Gökhan Yalnız - PhD thesis.pdf
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:15:59Z
  date_updated: 2025-05-12T15:43:28Z
  description: '3D visualizations of the turbulent flow (left) and the periodic orbits
    (middle) that are being shadowed along with the local state space projections
    (right) onto the principal components of the respective periodic orbit. Shown
    here are the isosurfaces of velocity (red/blue: ±95% of the instantaneous maximum)
    and vorticity (purple/green: ±65% of the instantaneous maximum) in the x-direction.
    Markers along the projections are in sync with the 3D visualizations. The movie
    corresponds to the initial time interval (up to t = 100) of figure 2.2 (a,b);
    periodic orbits and the state space projections are shown only through the shadowing
    events indicated in figure 2.2 (b).'
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  file_name: Movie 2A.1.mp4
  file_size: 37763743
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:16:09Z
  date_updated: 2025-05-12T15:43:28Z
  description: 'Turbulent flow (left) in HKW domain and its symmetry reduction (right).
    Shown here are the isosurfaces of streamwise velocity (red/blue: u = 0.5 max/min
    u) and streamwise vorticity (green/purple: ω_x = 0.5 max/min ω_x).'
  file_id: '19687'
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  file_size: 3902655
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  creator: gyalniz
  date_created: 2025-05-12T15:16:21Z
  date_updated: 2025-05-12T15:43:28Z
  description: 'Turbulent flow (left) in P2K domain and its symmetry reduction (right).
    Shown here are the isosurfaces of streamwise velocity (red/blue: u = 0.5 max/min
    u) and streamwise vorticity (green/purple: ω_x = 0.5 max/min ω_x).'
  file_id: '19688'
  file_name: Movie 3A.2.mp4
  file_size: 7043169
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  title: Chapter 3 - Movie 3A.2
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  creator: gyalniz
  date_created: 2025-05-12T15:16:36Z
  date_updated: 2025-05-12T15:43:28Z
  description: 'Relative periodic orbit RPO_79.4 (left) of the plane-Couette flow
    (HKW domain) and its symmetry reduction (right). Shown here are the isosurfaces
    of streamwise velocity (red/blue: u = 0.5 max/min u) and streamwise vorticity
    (green/purple: ω_x = 0.5 max/min ω_x).'
  file_id: '19689'
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  creator: gyalniz
  date_created: 2025-05-12T15:16:50Z
  date_updated: 2025-05-12T15:43:28Z
  description: 'Symmetry-reduced flow (left), its SRDMD approximation (middle), and
    state space projection (right) showing the spiral-out episode in P2K domain (figure
    3.6 (b) and figure 3.8 (b)). Shown here are the isosurfaces of streamwise velocity
    (red/blue: u = 0.5 max/min u) and streamwise vorticity (green/purple: ω_x = 0.5
    max/min ω_x).'
  file_id: '19690'
  file_name: Movie 3A.4.mp4
  file_size: 5873052
  relation: supplementary_material
  title: Chapter 3 - Movie 3A.4
- access_level: open_access
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:17:11Z
  date_updated: 2025-05-12T15:43:28Z
  description: Movie demonstrating the quasi-steady Reynolds number descent from turbulence
    to a periodic orbit.
  file_id: '19691'
  file_name: Movie 4A.1.mp4
  file_size: 9209327
  relation: supplementary_material
  title: Chapter 4 - Movie 4A.1
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:17:43Z
  date_updated: 2025-05-12T15:43:28Z
  description: Streamwise velocity fluctuations (from laminar) of plane-Couette flow
    (Re^C =335) at the y = 0 wall-normal plane in coordinates stationary with respect
    to the bulk velocity. Here, x is the streamwise direction (the wall at y = 1 moves
    to the right) and z is the spanwise direction. Time is in advectime time units.
    Shown is the full (L_x = L_z = 400) domain.
  file_id: '19692'
  file_name: Movie 5A.1.mp4
  file_size: 5893993
  relation: supplementary_material
  title: Chapter 5 - Movie 5A.1
- access_level: open_access
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:17:49Z
  date_updated: 2025-05-12T15:43:28Z
  description: Streamwise velocity fluctuations (from laminar) of plane-Poiseuille
    flow (Re^P =660) at the y = 0.5 wall-normal plane in coordinates stationary with
    respect to the bulk velocity. Here, x is the streamwise direction (the mean negative
    pressure gradient is to the right) and z is the spanwise direction. Time is in
    advectime time units. Shown is the full (L_x = L_z = 400) domain.
  file_id: '19693'
  file_name: Movie 5A.2.mp4
  file_size: 3990352
  relation: supplementary_material
  title: Chapter 5 - Movie 5A.2
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  content_type: video/mp4
  creator: gyalniz
  date_created: 2025-05-12T15:17:58Z
  date_updated: 2025-05-12T15:43:28Z
  description: Streamwise velocity fluctuations (from laminar) of plane-Poiseuille
    flow (Re^P=660) at the y = 0.5 wall-normal plane in coordinates stationary with
    respect to the average velocity of the downstream tip of the stripe. Here, x is
    the streamwise direction (the mean negative pressure gradient is to the right)
    and z is the spanwise direction. Time is in advectime time units. Shown is a zoom-in
    of the full (L_x = L_z) domain.
  file_id: '19694'
  file_name: Movie 5A.3.mp4
  file_size: 5171009
  relation: supplementary_material
  title: Chapter 5 - Movie 5A.3
- access_level: closed
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  creator: gyalniz
  date_created: 2025-05-12T15:27:10Z
  date_updated: 2025-05-12T15:43:28Z
  file_id: '19695'
  file_name: Gökhan Yalnız - PhD thesis.zip
  file_size: 18991996
  relation: source_file
file_date_updated: 2025-05-12T15:43:28Z
fulldoi: https://doi.org/10.15479/AT-ISTA-19684
has_accepted_license: '1'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: '155'
project:
- _id: 238598C6-32DE-11EA-91FC-C7463DDC885E
  grant_number: '662960'
  name: Revisiting the Turbulence Problem Using Statistical Mechanics
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '9558'
    relation: part_of_dissertation
    status: public
  - id: '12105'
    relation: part_of_dissertation
    status: public
  - id: '13274'
    relation: part_of_dissertation
    status: public
  - id: '14466'
    relation: part_of_dissertation
    status: public
  - id: '7563'
    relation: part_of_dissertation
    status: public
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: 'Transition to turbulence: Data-, solution-, and pattern-driven approaches'
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19795'
abstract:
- lang: eng
  text: Super-resolution microscopy often entails long acquisition times of minutes
    to hours. Since drifts during the acquisition adversely affect data quality, active
    sample stabilization is commonly used for some of these techniques to reach their
    full potential. Although drifts in the lateral plane can often be corrected after
    acquisition, this is not always possible or may come with drawbacks. Therefore,
    it is appealing to stabilize sample position in three dimensions (3D) during acquisition.
    Various schemes for active sample stabilization have been demonstrated previously,
    with some reaching sub-nanometer stability in 3D. Here, we present a scheme for
    active drift correction that delivers the nanometer-scale 3D stability demanded
    by state-of-the-art super-resolution techniques and is straightforward to implement
    compared to previous schemes capable of reaching this level of stabilization precision.
    Using a refined algorithm that can handle various types of reference structure,
    without sparse signal peaks being mandatory, we stabilized sample position to
    ∼1 nm in 3D using objective lenses both with high and low numerical aperture.
    Our implementation requires only the addition of a simple widefield imaging path
    and we provide an open-source control software with graphical user interface to
    facilitate easy adoption of the module. Finally, we demonstrate how this has the
    potential to enhance data collection for diffraction-limited and super-resolution
    imaging techniques using single-molecule localization microscopy and cryo-confocal
    imaging as showcases.
acknowledged_ssus:
- _id: M-Shop
- _id: EM-Fac
- _id: LifeSc
acknowledgement: 'We acknowledge expert support by ISTA’s scientific service units,
  including the Miba Machine Shop, the Electron Microscopy Facility, and the Lab Support
  Facility. This work has been made possible in part by CZI grant DAF2021-234754 and
  grant DOI: https://doi.org/10.37921/812628ebpcwg from the Chan Zuckerberg Initiative
  DAF, an advised fund of Silicon Valley Community Foundation (funder DOI: https://doi.org/10.13039/100014989)
  (F.K.M.S. and J.G.D.). We further gratefully acknowledge funding by the following
  sources: Austrian Science Fund (FWF) grant DK W1232 (M.R.T. and J.G.D.); Austrian
  Academy of Sciences DOC fellowship 26137 (M.R.T.); Marie Skłodowska-Curie Actions
  Fellowship GA no. 665385 under the EU Horizon 2020 program (J.L.); ISTA postdoctoral
  fellowship IST fellow (A.W.); and Human Frontier Science Program postdoctoral fellowship
  LT000557/2018 (W.J.).'
article_number: '100211'
article_processing_charge: Yes
article_type: original
author:
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
- first_name: Nikolai
  full_name: Semenov, Nikolai
  id: e64d39c7-72ef-11ef-b75a-ee3046860d1b
  last_name: Semenov
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Manjunath
  full_name: Javoor, Manjunath
  id: 305ab18b-dc7d-11ea-9b2f-b58195228ea2
  last_name: Javoor
  orcid: 0000-0003-2311-2112
- first_name: Bettina
  full_name: Zens, Bettina
  id: 45FD126C-F248-11E8-B48F-1D18A9856A87
  last_name: Zens
  orcid: 0000-0002-9561-1239
- first_name: Nathalie
  full_name: Agudelo Duenas, Nathalie
  id: 40E7F008-F248-11E8-B48F-1D18A9856A87
  last_name: Agudelo Duenas
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Marek
  full_name: Suplata, Marek
  id: EE8452B8-C26A-11E9-B157-E80CE6697425
  last_name: Suplata
- first_name: Wiebke
  full_name: Jahr, Wiebke
  id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
  last_name: Jahr
  orcid: 0000-0003-0201-2315
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Andreas
  full_name: Wartak, Andreas
  id: 60aaa06c-3de5-11eb-9e53-baa88e955dcb
  last_name: Wartak
- first_name: Florian Km
  full_name: Schur, Florian Km
  id: 48AD8942-F248-11E8-B48F-1D18A9856A87
  last_name: Schur
  orcid: 0000-0003-4790-8078
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Vorlaufer J, Semenov N, Kreuzinger C, et al. Image-based 3D active sample stabilization
    on the nanometer scale for optical microscopy. <i>Biophysical Reports</i>. 2025;5(2).
    doi:<a href="https://doi.org/10.1016/j.bpr.2025.100211">10.1016/j.bpr.2025.100211</a>
  apa: Vorlaufer, J., Semenov, N., Kreuzinger, C., Javoor, M., Zens, B., Agudelo Duenas,
    N., … Danzl, J. G. (2025). Image-based 3D active sample stabilization on the nanometer
    scale for optical microscopy. <i>Biophysical Reports</i>. Elsevier. <a href="https://doi.org/10.1016/j.bpr.2025.100211">https://doi.org/10.1016/j.bpr.2025.100211</a>
  chicago: Vorlaufer, Jakob, Nikolai Semenov, Caroline Kreuzinger, Manjunath Javoor,
    Bettina Zens, Nathalie Agudelo Duenas, Mojtaba Tavakoli, et al. “Image-Based 3D
    Active Sample Stabilization on the Nanometer Scale for Optical Microscopy.” <i>Biophysical
    Reports</i>. Elsevier, 2025. <a href="https://doi.org/10.1016/j.bpr.2025.100211">https://doi.org/10.1016/j.bpr.2025.100211</a>.
  ieee: J. Vorlaufer <i>et al.</i>, “Image-based 3D active sample stabilization on
    the nanometer scale for optical microscopy,” <i>Biophysical Reports</i>, vol.
    5, no. 2. Elsevier, 2025.
  ista: Vorlaufer J, Semenov N, Kreuzinger C, Javoor M, Zens B, Agudelo Duenas N,
    Tavakoli M, Suplata M, Jahr W, Lyudchik J, Wartak A, Schur FK, Danzl JG. 2025.
    Image-based 3D active sample stabilization on the nanometer scale for optical
    microscopy. Biophysical Reports. 5(2), 100211.
  mla: Vorlaufer, Jakob, et al. “Image-Based 3D Active Sample Stabilization on the
    Nanometer Scale for Optical Microscopy.” <i>Biophysical Reports</i>, vol. 5, no.
    2, 100211, Elsevier, 2025, doi:<a href="https://doi.org/10.1016/j.bpr.2025.100211">10.1016/j.bpr.2025.100211</a>.
  short: J. Vorlaufer, N. Semenov, C. Kreuzinger, M. Javoor, B. Zens, N. Agudelo Duenas,
    M. Tavakoli, M. Suplata, W. Jahr, J. Lyudchik, A. Wartak, F.K. Schur, J.G. Danzl,
    Biophysical Reports 5 (2025).
corr_author: '1'
date_created: 2025-06-08T22:01:22Z
date_published: 2025-06-11T00:00:00Z
date_updated: 2026-09-03T09:36:24Z
day: '11'
ddc:
- '570'
department:
- _id: JoDa
- _id: GradSch
- _id: FlSc
- _id: EM-Fac
doi: 10.1016/j.bpr.2025.100211
ec_funded: 1
file:
- access_level: open_access
  checksum: 4018c833f25a3ad3b57e3577fed70334
  content_type: application/pdf
  creator: dernst
  date_created: 2025-06-10T07:24:46Z
  date_updated: 2025-06-10T07:24:46Z
  file_id: '19802'
  file_name: 2025_BiophysicalReports_Vorlaufer.pdf
  file_size: 7238179
  relation: main_file
  success: 1
file_date_updated: 2025-06-10T07:24:46Z
fulldoi: https://doi.org/10.1016/j.bpr.2025.100211
has_accepted_license: '1'
intvolume: '         5'
issue: '2'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
project:
- _id: 62909c6f-2b32-11ec-9570-e1476aab5308
  grant_number: CZI01
  name: CryoMinflux-guided in-situ molecular census and structure determination
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
- _id: 2668BFA0-B435-11E9-9278-68D0E5697425
  grant_number: LT00057
  name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration
publication: Biophysical Reports
publication_identifier:
  eissn:
  - 2667-0747
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
  record:
  - id: '20206'
    relation: dissertation_contains
    status: public
  - id: '22744'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Image-based 3D active sample stabilization on the nanometer scale for optical
  microscopy
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: 5
year: '2025'
...
---
OA_place: publisher
OA_type: free access
_id: '22825'
abstract:
- lang: eng
  text: "The empirical emergence of neural collapse—a surprising symmetry in the feature
    representations of the training data in the penultimate layer of deep neural\r\nnetworks—has
    spurred a line of theoretical research aimed at its understanding.\r\nHowever,
    existing work focuses on data-agnostic models or, when data structure is\r\ntaken
    into account, it remains limited to multi-layer perceptrons. Our paper fills\r\nboth
    these gaps by analyzing modern architectures in a data-aware regime: we\r\nprove
    that global optima of deep regularized transformers and residual networks\r\n(ResNets)
    with LayerNorm trained with cross entropy or mean squared error loss\r\nare approximately
    collapsed, and the approximation gets tighter as the depth grows.\r\nMore generally,
    we formally reduce any end-to-end large-depth ResNet or transformer training into
    an equivalent unconstrained features model, thus justifying its\r\nwide use in
    the literature even beyond data-agnostic settings. Our theoretical results\r\nare
    supported by experiments on computer vision and language datasets showing\r\nthat,
    as the depth grows, neural collapse indeed becomes more prominent."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "M. M. and P. S. are funded by the European Union (ERC, INF2\r\n,
  project number 101161364). Views\r\nand opinions expressed are however those of
  the author(s) only and do not necessarily reflect those\r\nof the European Union
  or the European Research Council Executive Agency. Neither the European\r\nUnion
  nor the granting authority can be held responsible for them. This research was supported\r\nby
  the Scientific Service Units (SSU) of ISTA through resources provided by Scientific
  Computing (SciComp)."
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Peter
  full_name: Súkeník, Peter
  id: d64d6a8d-eb8e-11eb-b029-96fd216dec3c
  last_name: Súkeník
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
- first_name: Marco
  full_name: Mondelli, Marco
  id: 27EB676C-8706-11E9-9510-7717E6697425
  last_name: Mondelli
  orcid: 0000-0002-3242-7020
citation:
  ama: 'Súkeník P, Lampert C, Mondelli M. Neural collapse is globally optimal in deep
    regularized ResNets and transformers. In: <i>39th Conference on Neural Information
    Processing Systems</i>. Vol 38. Neural Information Processing Systems Foundation;
    2025:48646-48677. doi:<a href="https://doi.org/10.52202/085713-1450">10.52202/085713-1450</a>'
  apa: 'Súkeník, P., Lampert, C., &#38; Mondelli, M. (2025). Neural collapse is globally
    optimal in deep regularized ResNets and transformers. In <i>39th Conference on
    Neural Information Processing Systems</i> (Vol. 38, pp. 48646–48677). San Diego,
    CA, United States: Neural Information Processing Systems Foundation. <a href="https://doi.org/10.52202/085713-1450">https://doi.org/10.52202/085713-1450</a>'
  chicago: Súkeník, Peter, Christoph Lampert, and Marco Mondelli. “Neural Collapse
    Is Globally Optimal in Deep Regularized ResNets and Transformers.” In <i>39th
    Conference on Neural Information Processing Systems</i>, 38:48646–77. Neural Information
    Processing Systems Foundation, 2025. <a href="https://doi.org/10.52202/085713-1450">https://doi.org/10.52202/085713-1450</a>.
  ieee: P. Súkeník, C. Lampert, and M. Mondelli, “Neural collapse is globally optimal
    in deep regularized ResNets and transformers,” in <i>39th Conference on Neural
    Information Processing Systems</i>, San Diego, CA, United States, 2025, vol. 38,
    pp. 48646–48677.
  ista: 'Súkeník P, Lampert C, Mondelli M. 2025. Neural collapse is globally optimal
    in deep regularized ResNets and transformers. 39th Conference on Neural Information
    Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in
    Neural Information Processing Systems, vol. 38, 48646–48677.'
  mla: Súkeník, Peter, et al. “Neural Collapse Is Globally Optimal in Deep Regularized
    ResNets and Transformers.” <i>39th Conference on Neural Information Processing
    Systems</i>, vol. 38, Neural Information Processing Systems Foundation, 2025,
    pp. 48646–77, doi:<a href="https://doi.org/10.52202/085713-1450">10.52202/085713-1450</a>.
  short: P. Súkeník, C. Lampert, M. Mondelli, in:, 39th Conference on Neural Information
    Processing Systems, Neural Information Processing Systems Foundation, 2025, pp.
    48646–48677.
conference:
  end_date: 2025-12-07
  location: San Diego, CA, United States
  name: 'NeurIPS: Neural Information Processing Systems'
  start_date: 2025-12-02
corr_author: '1'
das_tickbox: '0'
date_created: 2026-09-06T22:01:59Z
date_published: 2025-12-02T00:00:00Z
date_updated: 2026-09-10T08:11:46Z
day: '02'
ddc:
- '000'
department:
- _id: MaMo
- _id: GradSch
- _id: ChLa
doi: 10.52202/085713-1450
external_id:
  arxiv:
  - '2505.15239'
fulldoi: https://doi.org/10.52202/085713-1450
intvolume: '        38'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.52202/085713-1450
month: '12'
oa: 1
oa_version: Published Version
page: 48646-48677
project:
- _id: 911e6d1f-16d5-11f0-9cad-c5c68c6a1cdf
  grant_number: '101161364'
  name: 'Inference in High Dimensions: Light-speed Algorithms and Information Limits'
publication: 39th Conference on Neural Information Processing Systems
publication_identifier:
  isbn:
  - '9798331338275'
  issn:
  - 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Neural collapse is globally optimal in deep regularized ResNets and transformers
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 38
year: '2025'
...
---
OA_place: publisher
OA_type: free access
_id: '22824'
abstract:
- lang: eng
  text: "We present new fast-rate PAC-Bayesian generalization bounds for multi-task
    and\r\nmeta-learning in the unbalanced setting, i.e. when the tasks have training
    sets of\r\ndifferent sizes, as is typically the case in real-world scenarios.
    Previously, only\r\nstandard-rate bounds were known for this situation, while
    fast-rate bounds were\r\nlimited to the setting where all training sets are of
    equal size. Our new bounds\r\nare numerically computable as well as interpretable,
    and we demonstrate their\r\nflexibility in handling a number of cases where they
    give stronger guarantees\r\nthan previous bounds. Besides the bounds themselves,
    we also make conceptual\r\ncontributions: we demonstrate that the unbalanced multi-task
    setting has different\r\nstatistical properties than the balanced situation, specifically
    that proofs from\r\nthe balanced situation do not carry over to the unbalanced
    setting. Additionally,\r\nwe shed light on the fact that the unbalanced situation
    allows two meaningful\r\ndefinitions of multi-task risk, depending on whether
    all tasks should be considered\r\nequally important or if sample-rich tasks should
    receive more weight than samplepoor ones."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: This research was supported by the Scientific Service Units (SSU)
  of ISTA through resources provided by Scientific Computing (SciComp).
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
author:
- first_name: Hossein
  full_name: Zakerinia, Hossein
  id: 653bd8b6-f394-11eb-9cf6-c0bbf6cd78d4
  last_name: Zakerinia
  orcid: 0009-0007-3977-6462
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Zakerinia H, Lampert C. Fast rate bounds for multi-task and meta-learning
    with different sample sizes. In: <i>39th Conference on Neural Information Processing
    Systems</i>. Vol 38. Neural Information Processing Systems Foundation; 2025:9062-9093.
    doi:<a href="https://doi.org/10.52202/085713-0278">10.52202/085713-0278</a>'
  apa: 'Zakerinia, H., &#38; Lampert, C. (2025). Fast rate bounds for multi-task and
    meta-learning with different sample sizes. In <i>39th Conference on Neural Information
    Processing Systems</i> (Vol. 38, pp. 9062–9093). San Diego, CA, United States:
    Neural Information Processing Systems Foundation. <a href="https://doi.org/10.52202/085713-0278">https://doi.org/10.52202/085713-0278</a>'
  chicago: Zakerinia, Hossein, and Christoph Lampert. “Fast Rate Bounds for Multi-Task
    and Meta-Learning with Different Sample Sizes.” In <i>39th Conference on Neural
    Information Processing Systems</i>, 38:9062–93. Neural Information Processing
    Systems Foundation, 2025. <a href="https://doi.org/10.52202/085713-0278">https://doi.org/10.52202/085713-0278</a>.
  ieee: H. Zakerinia and C. Lampert, “Fast rate bounds for multi-task and meta-learning
    with different sample sizes,” in <i>39th Conference on Neural Information Processing
    Systems</i>, San Diego, CA, United States, 2025, vol. 38, pp. 9062–9093.
  ista: 'Zakerinia H, Lampert C. 2025. Fast rate bounds for multi-task and meta-learning
    with different sample sizes. 39th Conference on Neural Information Processing
    Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information
    Processing Systems, vol. 38, 9062–9093.'
  mla: Zakerinia, Hossein, and Christoph Lampert. “Fast Rate Bounds for Multi-Task
    and Meta-Learning with Different Sample Sizes.” <i>39th Conference on Neural Information
    Processing Systems</i>, vol. 38, Neural Information Processing Systems Foundation,
    2025, pp. 9062–93, doi:<a href="https://doi.org/10.52202/085713-0278">10.52202/085713-0278</a>.
  short: H. Zakerinia, C. Lampert, in:, 39th Conference on Neural Information Processing
    Systems, Neural Information Processing Systems Foundation, 2025, pp. 9062–9093.
conference:
  end_date: 2025-12-07
  location: San Diego, CA, United States
  name: 'NeurIPS: Neural Information Processing Systems'
  start_date: 2025-12-02
corr_author: '1'
das_tickbox: '0'
date_created: 2026-09-06T22:01:59Z
date_published: 2025-12-02T00:00:00Z
date_updated: 2026-09-10T08:37:33Z
day: '02'
department:
- _id: GradSch
- _id: ChLa
doi: 10.52202/085713-0278
fulldoi: https://doi.org/10.52202/085713-0278
intvolume: '        38'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.52202/085713-0278
month: '12'
oa: 1
oa_version: Published Version
page: 9062-9093
publication: 39th Conference on Neural Information Processing Systems
publication_identifier:
  isbn:
  - '9798331338275'
  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: Fast rate bounds for multi-task and meta-learning with different sample sizes
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 38
year: '2025'
...
---
OA_place: publisher
_id: '19903'
abstract:
- lang: eng
  text: "Cooperation, that is, one person paying a cost for another's benefit, is
    a fundamental principle without which no form of society could exist. The extent
    to which humans cooperate with each other is also an essential feature that differentiates
    them from other animals. Cooperation occurs even in the absence of altruistic
    motivations, when it is selfishly incentivised by the expectation of a future
    reward. For example, many economic interactions are well described that way. This
    kind of cooperation requires that people exhibit reciprocal behaviour that acts
    as a mechanism that rewards cooperation.\r\nWith game-theoretic models, it is
    possible to formally study potential such mechanisms and under what conditions
    they can exist. This thesis contributes to this effort by analysing recently introduced
    models of cooperation that advance on previous work by taking into account the
    potential for pre-existing inequality among cooperating individuals as well as
    the different forms that reciprocity can take.\r\nIndividuals may differ both
    intrinsically, in their abilities, as well as extrinsically, in the amount of
    resources they have available. Allowing for such differences in a model of cooperation
    helps to understand how inequality affects the potential for, and outcomes of,
    cooperation among unequals. In this thesis, it is shown that in the presence of
    intrinsic inequality, a similar unequal distribution of resources can increase
    the potential for cooperation. This effect is stronger the smaller the group is
    in which cooperation takes place. It is also shown that under particular assumptions,
    if the unequal members of a group vary the size of their contributions to a cooperative
    effort over time, they can thereby increase their efficiency and improve the collective
    outcome.\r\nCooperative behaviour in a two-person interaction can be rewarded
    either by direct reciprocation whenever the same two people interact again, or
    indirectly by a third party who observed the interaction. In the latter case of
    indirect reciprocity, individuals are proximally rewarded by a good reputation,
    which ultimately translates to being rewarded with cooperative behaviour by others.
    This mechanism can enable selfishly motivated cooperation even in circumstances
    where individuals are unlikely to meet again, akin to how money facilitates trade.
    While these two forms of reciprocity have mostly been studied in isolation, this
    thesis analyses both direct and indirect reciprocity in a general model in order
    to compare their relative effectiveness under different circumstances. The contribution
    of this thesis is an extension of previous work regarding a specific kind of interaction,
    whose parameters allow for convenient mathematical analysis, to the most general
    set of possible interactions."
acknowledgement: "The research for this thesis was supported by the European Research
  Council\r\n(grant agreements No. 863818 and No. 850529), the European Union’s Horizon
  2020 research and innovation programme (Marie Skłodowska-Curie grant agreement No.
  754411),\r\nthe Austrian Science Fund (grant DOI 10.55776/COE12), the French Agence
  Nationale\r\nde la Recherche under the Programme d’investissements d’avenir (project
  reference 17-\r\nEURE-0010) and the Australian Government through the Australian
  Research Council\r\n(grant No. SR200100005, “Securing Antarctica’s Environmental
  Future”)."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Valentin
  full_name: Hübner, Valentin
  id: 2c8aa207-dc7d-11ea-9b2f-f22972ecd910
  last_name: Hübner
  orcid: 0009-0001-5009-4987
citation:
  ama: Hübner V. Reciprocity and inequality in social dilemmas. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-19903">10.15479/AT-ISTA-19903</a>
  apa: Hübner, V. (2025). <i>Reciprocity and inequality in social dilemmas</i>. Institute
    of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-19903">https://doi.org/10.15479/AT-ISTA-19903</a>
  chicago: Hübner, Valentin. “Reciprocity and Inequality in Social Dilemmas.” Institute
    of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-19903">https://doi.org/10.15479/AT-ISTA-19903</a>.
  ieee: V. Hübner, “Reciprocity and inequality in social dilemmas,” Institute of Science
    and Technology Austria, 2025.
  ista: Hübner V. 2025. Reciprocity and inequality in social dilemmas. Institute of
    Science and Technology Austria.
  mla: Hübner, Valentin. <i>Reciprocity and Inequality in Social Dilemmas</i>. Institute
    of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-19903">10.15479/AT-ISTA-19903</a>.
  short: V. Hübner, Reciprocity and Inequality in Social Dilemmas, Institute of Science
    and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-06-25T13:50:10Z
date_published: 2025-06-25T00:00:00Z
date_updated: 2026-09-16T06:58:24Z
day: '25'
ddc:
- '519'
degree_awarded: PhD
department:
- _id: GradSch
- _id: KrCh
doi: 10.15479/AT-ISTA-19903
doi_confirm: '1'
ec_funded: 1
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language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '06'
oa: 1
oa_version: Published Version
page: '157'
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 4029cfc7-b034-11f1-9e55-88ab2ff3b6ee
  grant_number: COE12
  name: Bilateral Artificial Intelligence (Chatterjee)
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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status: public
supervisor:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
title: Reciprocity and inequality in social dilemmas
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...
---
OA_place: publisher
_id: '20138'
abstract:
- lang: eng
  text: "The evolution shapes the world around us.\r\nNot only in biology, where the
    fittest individuals spread their genes but also in physics and social dynamics,
    the evolutionary forces determine the development of a state of matter or public
    opinions.\r\nMany models describe these dynamics.\r\nThis thesis examines the
    role of the structure in the models of selection.\r\nThe population structure
    is represented as a graph or a network, and each vertex is occupied by one individual.\r\nEvery
    individual has a type and fitness that represents the reproductive potential and
    depends on the type, occupied vertex, and the arrangement of the neighbors.\r\nThe
    evolution is modeled in discrete steps; in one step, one individual is replaced
    by a neighbor selected randomly with the influence of fitness.\r\n\r\n\r\n\r\nThe
    role of the networks is widely examined in the literature.\r\nThe structures that
    promote the spread of the desired type compared to the structureless case are
    called amplifiers.\r\nThe existence of amplifiers in various settings is an intensively
    studied topic, and in some settings, the amplifiers have been identified.\r\nMoreover,
    there are other important questions about the number of steps until one type spreads
    over the whole network (fixation time), the computational complexity, and the
    questions about the robustness of these processes.\r\n\r\n\r\nThis thesis explores
    the role of structure in evolution from many perspectives.\r\nFirst, it introduces
    different models and various choices that can be made in the models of evolution.\r\nIt
    highlights the role of the structure in the real world and how this is reflected
    in these models.\r\nThen, it describes the previous results and open problems.\r\nSecond,
    the thesis describes an amplifier for two variants of the Moran process: one with
    a constant birth rate and the other with a constant death rate.\r\nThis is an
    important contribution to the robustness of the amplification.\r\nThird, the thesis
    determines the complexity of spatial games.\r\nThese are processes where the fitness
    comes from a game, and the strength of selection is high.\r\nIt shows that determining
    the fate of cooperation in these games is a PSPACE-complete problem.\r\nFourth,
    the thesis describes the amplifier of cooperation for spatial games.\r\nThis is
    the first amplifier in this setting.\r\nFifth, the thesis examines the coexistence
    in the Moran process with environmental heterogeneity.\r\nIn this setting, the
    fitness depends not only on the type of the individual but also on the occupied
    vertex.\r\nThe chapter determines the relationship between the interactions of
    vertices of different types and the coexistence time.\r\nSixth, the thesis examines
    the social balance on networks and proposes a stochastic dynamic partially aware
    of the state of the graph, which reaches a balanced position quickly.\r\nFinally,
    the thesis presents conclusions and outlines the directions for future work.\r\n\r\n\r\n"
acknowledgement: "This work was supported by the European Research Council CoG 863818
  (ForMSMArt) and Austrian Science Fund 10.55776/COE12.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jakub
  full_name: Svoboda, Jakub
  id: 130759D2-D7DD-11E9-87D2-DE0DE6697425
  last_name: Svoboda
  orcid: 0000-0002-1419-3267
citation:
  ama: Svoboda J. Structural properties of games on graphs. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20138">10.15479/AT-ISTA-20138</a>
  apa: Svoboda, J. (2025). <i>Structural properties of games on graphs</i>. Institute
    of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20138">https://doi.org/10.15479/AT-ISTA-20138</a>
  chicago: Svoboda, Jakub. “Structural Properties of Games on Graphs.” Institute of
    Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20138">https://doi.org/10.15479/AT-ISTA-20138</a>.
  ieee: J. Svoboda, “Structural properties of games on graphs,” Institute of Science
    and Technology Austria, 2025.
  ista: Svoboda J. 2025. Structural properties of games on graphs. Institute of Science
    and Technology Austria.
  mla: Svoboda, Jakub. <i>Structural Properties of Games on Graphs</i>. Institute
    of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20138">10.15479/AT-ISTA-20138</a>.
  short: J. Svoboda, Structural Properties of Games on Graphs, Institute of Science
    and Technology Austria, 2025.
corr_author: '1'
das_tickbox: '1'
date_created: 2025-08-05T14:33:59Z
date_published: 2025-08-05T00:00:00Z
date_updated: 2026-09-16T06:59:33Z
day: '05'
ddc:
- '000'
- '519'
degree_awarded: PhD
department:
- _id: GradSch
- _id: KrCh
doi: 10.15479/AT-ISTA-20138
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ec_funded: 1
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language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '08'
oa: 1
oa_version: Published Version
page: '167'
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 4029cfc7-b034-11f1-9e55-88ab2ff3b6ee
  grant_number: COE12
  name: Bilateral Artificial Intelligence (Chatterjee)
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publisher_comment: "Chapter 4 is copyrighted by CC BY-NC-ND\r\n4.0, which prohibits
  derivatives. Chapter 6 is copyrighted: Copyright (2025) by the American\r\nPhysical
  Society. For a copy, redistribution, or modification needs to be permitted by the\r\nAmerican
  Physical Society.\r\n"
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status: public
supervisor:
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
title: Structural properties of games on graphs
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OA_place: publisher
OA_type: diamond
_id: '20299'
abstract:
- lang: eng
  text: "Deterministic Markov Decision Processes (DMDPs) are a mathematical framework
    for decision-making where the outcomes and future possible actions are deterministically
    determined by the current action taken. DMDPs can be viewed as a finite directed
    weighted graph, where in each step, the controller chooses an outgoing edge. An
    objective is a measurable function on runs (or infinite trajectories) of the DMDP,
    and the value for an objective is the maximal cumulative reward (or weight) that
    the controller can guarantee. We consider the classical mean-payoff (aka limit-average)
    objective, which is a basic and fundamental objective.\r\n\r\nHoward's policy
    iteration algorithm is a popular method for solving DMDPs with mean-payoff objectives.
    Although Howard's algorithm performs well in practice, as experimental studies
    suggested, the best known upper bound is exponential and the current known lower
    bound is as follows: For the input size I, the algorithm requires (math formular)
    iterations, where (math formular) hides the poly-logarithmic factors, i.e., the
    current lower bound on iterations is sub-linear with respect to the input size.
    Our main result is an improved lower bound for this fundamental algorithm where
    we show that for the input size I, the algorithm requires (math formular) iterations."
acknowledgement: "This research was partially supported by the ERC CoG 863818 (ForM-SMArt)
  grant and Austrian Science Fund (FWF) 10.55776/COE12.\r\n"
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Ali
  full_name: Asadi, Ali
  id: 02d96aae-000e-11ec-b801-cadd0a5eefbb
  last_name: Asadi
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Jakob
  full_name: De Raaij, Jakob
  last_name: De Raaij
citation:
  ama: 'Asadi A, Chatterjee K, De Raaij J. Lower bound on Howard policy iteration
    for deterministic Markov Decision Processes. In: <i>The 41st Conference on Uncertainty
    in Artificial Intelligence</i>. Vol 286. ML Research Press; 2025:223-232.'
  apa: 'Asadi, A., Chatterjee, K., &#38; De Raaij, J. (2025). Lower bound on Howard
    policy iteration for deterministic Markov Decision Processes. In <i>The 41st Conference
    on Uncertainty in Artificial Intelligence</i> (Vol. 286, pp. 223–232). Rio de
    Janeiro, Brazil: ML Research Press.'
  chicago: Asadi, Ali, Krishnendu Chatterjee, and Jakob De Raaij. “Lower Bound on
    Howard Policy Iteration for Deterministic Markov Decision Processes.” In <i>The
    41st Conference on Uncertainty in Artificial Intelligence</i>, 286:223–32. ML
    Research Press, 2025.
  ieee: A. Asadi, K. Chatterjee, and J. De Raaij, “Lower bound on Howard policy iteration
    for deterministic Markov Decision Processes,” in <i>The 41st Conference on Uncertainty
    in Artificial Intelligence</i>, Rio de Janeiro, Brazil, 2025, vol. 286, pp. 223–232.
  ista: 'Asadi A, Chatterjee K, De Raaij J. 2025. Lower bound on Howard policy iteration
    for deterministic Markov Decision Processes. The 41st Conference on Uncertainty
    in Artificial Intelligence. UAI: Conference on Uncertainty in Artificial Intelligence,
    PMLR, vol. 286, 223–232.'
  mla: Asadi, Ali, et al. “Lower Bound on Howard Policy Iteration for Deterministic
    Markov Decision Processes.” <i>The 41st Conference on Uncertainty in Artificial
    Intelligence</i>, vol. 286, ML Research Press, 2025, pp. 223–32.
  short: A. Asadi, K. Chatterjee, J. De Raaij, in:, The 41st Conference on Uncertainty
    in Artificial Intelligence, ML Research Press, 2025, pp. 223–232.
conference:
  end_date: 2025-07-25
  location: Rio de Janeiro, Brazil
  name: 'UAI: Conference on Uncertainty in Artificial Intelligence'
  start_date: 2025-07-21
corr_author: '1'
date_created: 2025-09-07T22:01:34Z
date_published: 2025-01-01T00:00:00Z
date_updated: 2026-09-16T07:01:05Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
- _id: GradSch
ec_funded: 1
external_id:
  arxiv:
  - '2506.12254'
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  success: 1
file_date_updated: 2025-09-09T06:27:59Z
has_accepted_license: '1'
intvolume: '       286'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 223-232
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 4029cfc7-b034-11f1-9e55-88ab2ff3b6ee
  grant_number: COE12
  name: Bilateral Artificial Intelligence (Chatterjee)
publication: The 41st Conference on Uncertainty in Artificial Intelligence
publication_identifier:
  eissn:
  - 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Lower bound on Howard policy iteration for deterministic Markov Decision Processes
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  short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 286
year: '2025'
...
---
OA_place: publisher
OA_type: diamond
_id: '20297'
abstract:
- lang: eng
  text: "A standard model that arises in several applications in sequential decision-making
    is partially observable Markov decision processes (POMDPs) where a decision-making
    agent interacts with an uncertain environment. A basic objective in POMDPs is
    the reachability objective, where given a target set of states, the goal is to
    eventually arrive at one of them.\r\n\r\nThe limit-sure problem asks whether reachability
    can be ensured with probability arbitrarily close to 1. In general, the limit-sure
    reachability problem for POMDPs is undecidable. However, in many practical cases,
    the most relevant question is the existence of policies with a small amount of
    memory. In this work, we study the limit-sure reachability problem for POMDPs
    with a fixed amount of memory. We establish that the computational complexity
    of the problem is NP-complete."
acknowledgement: This research was partially supported by Austrian Science Fund (FWF)
  10.55776/COE12, the support of the French Agence Nationale de la Recherche (ANR)
  under reference ANR-21-CE40-0020 (CONVERGENCE project), and the ERC CoG 863818 (ForM-SMArt)
  grant.
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Ali
  full_name: Asadi, Ali
  id: 02d96aae-000e-11ec-b801-cadd0a5eefbb
  last_name: Asadi
- first_name: Krishnendu
  full_name: Chatterjee, Krishnendu
  id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
  last_name: Chatterjee
  orcid: 0000-0002-4561-241X
- first_name: Raimundo J
  full_name: Saona Urmeneta, Raimundo J
  id: BD1DF4C4-D767-11E9-B658-BC13E6697425
  last_name: Saona Urmeneta
  orcid: 0000-0001-5103-038X
- first_name: Ali
  full_name: Shafiee, Ali
  id: 2783031a-7378-11f0-b2d0-f17f1db2ebad
  last_name: Shafiee
citation:
  ama: 'Asadi A, Chatterjee K, Saona Urmeneta RJ, Shafiee A. Limit-sure reachability
    for small memory policies in POMDPs is NP-complete. In: <i>The 41st Conference
    on Uncertainty in Artificial Intelligence</i>. Vol 286. ML Research Press; 2025:238-247.'
  apa: 'Asadi, A., Chatterjee, K., Saona Urmeneta, R. J., &#38; Shafiee, A. (2025).
    Limit-sure reachability for small memory policies in POMDPs is NP-complete. In
    <i>The 41st Conference on Uncertainty in Artificial Intelligence</i> (Vol. 286,
    pp. 238–247). Rio de Janeiro, Brazil: ML Research Press.'
  chicago: Asadi, Ali, Krishnendu Chatterjee, Raimundo J Saona Urmeneta, and Ali Shafiee.
    “Limit-Sure Reachability for Small Memory Policies in POMDPs Is NP-Complete.”
    In <i>The 41st Conference on Uncertainty in Artificial Intelligence</i>, 286:238–47.
    ML Research Press, 2025.
  ieee: A. Asadi, K. Chatterjee, R. J. Saona Urmeneta, and A. Shafiee, “Limit-sure
    reachability for small memory policies in POMDPs is NP-complete,” in <i>The 41st
    Conference on Uncertainty in Artificial Intelligence</i>, Rio de Janeiro, Brazil,
    2025, vol. 286, pp. 238–247.
  ista: 'Asadi A, Chatterjee K, Saona Urmeneta RJ, Shafiee A. 2025. Limit-sure reachability
    for small memory policies in POMDPs is NP-complete. The 41st Conference on Uncertainty
    in Artificial Intelligence. UAI: Conference on Uncertainty in Artificial Intelligence,
    PMLR, vol. 286, 238–247.'
  mla: Asadi, Ali, et al. “Limit-Sure Reachability for Small Memory Policies in POMDPs
    Is NP-Complete.” <i>The 41st Conference on Uncertainty in Artificial Intelligence</i>,
    vol. 286, ML Research Press, 2025, pp. 238–47.
  short: A. Asadi, K. Chatterjee, R.J. Saona Urmeneta, A. Shafiee, in:, The 41st Conference
    on Uncertainty in Artificial Intelligence, ML Research Press, 2025, pp. 238–247.
conference:
  end_date: 2025-07-25
  location: Rio de Janeiro, Brazil
  name: 'UAI: Conference on Uncertainty in Artificial Intelligence'
  start_date: 2025-07-21
corr_author: '1'
date_created: 2025-09-07T22:01:34Z
date_published: 2025-07-01T00:00:00Z
date_updated: 2026-09-16T07:03:02Z
day: '01'
ddc:
- '000'
department:
- _id: KrCh
- _id: GradSch
ec_funded: 1
external_id:
  arxiv:
  - '2412.00941'
file:
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  creator: dernst
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  date_updated: 2025-09-09T08:19:41Z
  file_id: '20315'
  file_name: 2025_UAI_AsadiAli.pdf
  file_size: 307458
  relation: main_file
  success: 1
file_date_updated: 2025-09-09T08:19:41Z
has_accepted_license: '1'
intvolume: '       286'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 238-247
project:
- _id: 0599E47C-7A3F-11EA-A408-12923DDC885E
  call_identifier: H2020
  grant_number: '863818'
  name: 'Formal Methods for Stochastic Models: Algorithms and Applications'
- _id: 4029cfc7-b034-11f1-9e55-88ab2ff3b6ee
  grant_number: COE12
  name: Bilateral Artificial Intelligence (Chatterjee)
publication: The 41st Conference on Uncertainty in Artificial Intelligence
publication_identifier:
  eissn:
  - 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Limit-sure reachability for small memory policies in POMDPs is NP-complete
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 286
year: '2025'
...
---
APC_amount: 3599,50 EUR
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20646'
abstract:
- lang: eng
  text: Describing general quantum many-body dynamics is a challenging task due to
    the exponential growth of the Hilbert space with system size. The time-dependent
    variational principle (TDVP) provides a powerful tool to tackle this task by projecting
    quantum evolution onto a classical dynamical system within a variational manifold.
    In classical systems, periodic orbits play a crucial role in understanding the
    structure of the phase space and the long-term behavior of the system. However,
    finding periodic orbits is generally difficult, and their existence and properties
    in generic TDVP dynamics over matrix product states have remained largely unexplored.
    In this work, we develop an algorithm to systematically identify and characterize
    periodic orbits in TDVP dynamics. Applying our method to the periodically kicked
    Ising model, we uncover both stable and unstable periodic orbits. We characterize
    the Kolmogorov-Arnold-Moser tori in the vicinity of stable periodic orbits and
    track the change of the periodic orbits as we modify the Hamiltonian parameters.
    We observe that periodic orbits exist at any value of the coupling constant of
    the kicked Ising model between prethermal and fully thermalizing regimes, but
    their relevance to quantum dynamics and imprint on quantum eigenstates diminishes
    as the system leaves the prethermal regime. Our results demonstrate that periodic
    orbits provide valuable insights into the TDVP approximation of quantum many-body
    evolution and establish a closer connection between quantum and classical chaos.
acknowledgement: We acknowledge useful discussions with C. Kollath, A. Green, and
  D. Huse. E.P., M.L., and M.S. acknowledge support by the European Research Council
  under the European Union’s Horizon 2020 research and innovation program (Grant Agreement
  No. 850899). This research was funded in whole or in part by the Austrian Science
  Fund (FWF) (Grant No. 10.55776/COE1). For open access purposes, the author has applied
  a CC BY public copyright license to any author accepted manuscript version arising
  from this submission. M.L. acknowledges support by the Deutsche Forschungsgemeinschaft
  (DFG, German Research Foundation) under Germany’s Excellence Strategy—EXC-2111—390814868.
  This research was supported in part by National Science Foundation (NSF) Grant No.
  PHY-2309135 to the Kavli Institute for Theoretical Physics (KITP) and by the Erwin
  Schrödinger International Institute for Mathematics and Physics (ESI).
article_number: '040333'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Elena
  full_name: Petrova, Elena
  id: 0ac84990-897b-11ed-a09c-f5abb56a4ede
  last_name: Petrova
- first_name: Marko
  full_name: Ljubotina, Marko
  id: F75EE9BE-5C90-11EA-905D-16643DDC885E
  last_name: Ljubotina
  orcid: 0000-0003-0038-7068
- first_name: Gökhan
  full_name: Yalniz, Gökhan
  id: 66E74FA2-D8BF-11E9-8249-8DE2E5697425
  last_name: Yalniz
  orcid: 0000-0002-8490-9312
- first_name: Maksym
  full_name: Serbyn, Maksym
  id: 47809E7E-F248-11E8-B48F-1D18A9856A87
  last_name: Serbyn
  orcid: 0000-0002-2399-5827
citation:
  ama: Petrova E, Ljubotina M, Yalniz G, Serbyn M. Finding periodic orbits in projected
    quantum many-body dynamics. <i>PRX Quantum</i>. 2025;6(4). doi:<a href="https://doi.org/10.1103/tldp-kvkd">10.1103/tldp-kvkd</a>
  apa: Petrova, E., Ljubotina, M., Yalniz, G., &#38; Serbyn, M. (2025). Finding periodic
    orbits in projected quantum many-body dynamics. <i>PRX Quantum</i>. American Physical
    Society. <a href="https://doi.org/10.1103/tldp-kvkd">https://doi.org/10.1103/tldp-kvkd</a>
  chicago: Petrova, Elena, Marko Ljubotina, Gökhan Yalniz, and Maksym Serbyn. “Finding
    Periodic Orbits in Projected Quantum Many-Body Dynamics.” <i>PRX Quantum</i>.
    American Physical Society, 2025. <a href="https://doi.org/10.1103/tldp-kvkd">https://doi.org/10.1103/tldp-kvkd</a>.
  ieee: E. Petrova, M. Ljubotina, G. Yalniz, and M. Serbyn, “Finding periodic orbits
    in projected quantum many-body dynamics,” <i>PRX Quantum</i>, vol. 6, no. 4. American
    Physical Society, 2025.
  ista: Petrova E, Ljubotina M, Yalniz G, Serbyn M. 2025. Finding periodic orbits
    in projected quantum many-body dynamics. PRX Quantum. 6(4), 040333.
  mla: Petrova, Elena, et al. “Finding Periodic Orbits in Projected Quantum Many-Body
    Dynamics.” <i>PRX Quantum</i>, vol. 6, no. 4, 040333, American Physical Society,
    2025, doi:<a href="https://doi.org/10.1103/tldp-kvkd">10.1103/tldp-kvkd</a>.
  short: E. Petrova, M. Ljubotina, G. Yalniz, M. Serbyn, PRX Quantum 6 (2025).
corr_author: '1'
date_created: 2025-11-14T09:40:52Z
date_published: 2025-11-12T00:00:00Z
date_updated: 2026-09-16T07:04:35Z
day: '12'
ddc:
- '539'
department:
- _id: GradSch
- _id: BjHo
- _id: MaSe
doi: 10.1103/tldp-kvkd
ec_funded: 1
external_id:
  arxiv:
  - '2504.12472'
  isi:
  - '001616473700003'
file:
- access_level: open_access
  checksum: 5d6d04ac518b4118405334e1ddc7a56d
  content_type: application/pdf
  creator: gyalniz
  date_created: 2025-11-14T09:44:10Z
  date_updated: 2025-11-14T09:44:10Z
  file_id: '20647'
  file_name: tldp-kvkd.pdf
  file_size: 2504713
  relation: main_file
  success: 1
file_date_updated: 2025-11-14T09:44:10Z
fulldoi: https://doi.org/10.1103/tldp-kvkd
has_accepted_license: '1'
intvolume: '         6'
isi: 1
issue: '4'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 23841C26-32DE-11EA-91FC-C7463DDC885E
  call_identifier: H2020
  grant_number: '850899'
  name: 'Non-Ergodic Quantum Matter: Universality, Dynamics and Control'
- _id: 3AC91DDA-15DF-11EA-824D-93A3E7B544D1
  call_identifier: FWF
  name: FWF Open Access Fund
- _id: 92c64506-16d5-11f0-9cad-87ce313ee832
  grant_number: COE01
  name: Quantum Science Austria (Serbyn)
publication: PRX Quantum
publication_identifier:
  eissn:
  - 2691-3399
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
  link:
  - description: News on ISTA website
    relation: press_release
    url: https://ista.ac.at/en/news/reaching-for-the-quantum-scars/
scopus_import: '1'
status: public
title: Finding periodic orbits in projected quantum many-body dynamics
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: 6
year: '2025'
...
---
OA_place: publisher
_id: '20607'
acknowledged_ssus:
- _id: Bio
- _id: SSU
- _id: LifeSc
- _id: M-Shop
acknowledgement: "I gratefully acknowledge the support of the ISTA Graduate School
  and the Scientific Service Units of\r\nISTA, whose resources made this work possible—especially
  the Imaging & Optics Facility, the Lab\r\nSupport Facility, and the Miba Machine
  Shop. I would like to thank two staff scientists in particular:\r\nRobert Hauschild
  (Imaging & Optics Facility) and Daniel Balazs (Lab Support Facility), for their\r\nassistance
  and advice. My PhD was partially funded by the Austrian Science Fund (FWF)\r\n(10.55776/P37169
  and 10.55776/COE5)."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Soumyadip
  full_name: Mondal, Soumyadip
  id: d25d21ef-dc8d-11ea-abe3-ec4576307f48
  last_name: Mondal
citation:
  ama: 'Mondal S. Oxygen and sulfur redox: Conversion kinetics and phase equilibria.
    2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20607">10.15479/AT-ISTA-20607</a>'
  apa: 'Mondal, S. (2025). <i>Oxygen and sulfur redox: Conversion kinetics and phase
    equilibria</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20607">https://doi.org/10.15479/AT-ISTA-20607</a>'
  chicago: 'Mondal, Soumyadip. “Oxygen and Sulfur Redox: Conversion Kinetics and Phase
    Equilibria.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20607">https://doi.org/10.15479/AT-ISTA-20607</a>.'
  ieee: 'S. Mondal, “Oxygen and sulfur redox: Conversion kinetics and phase equilibria,”
    Institute of Science and Technology Austria, 2025.'
  ista: 'Mondal S. 2025. Oxygen and sulfur redox: Conversion kinetics and phase equilibria.
    Institute of Science and Technology Austria.'
  mla: 'Mondal, Soumyadip. <i>Oxygen and Sulfur Redox: Conversion Kinetics and Phase
    Equilibria</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20607">10.15479/AT-ISTA-20607</a>.'
  short: 'S. Mondal, Oxygen and Sulfur Redox: Conversion Kinetics and Phase Equilibria,
    Institute of Science and Technology Austria, 2025.'
corr_author: '1'
das_tickbox: '1'
date_created: 2025-11-07T12:40:54Z
date_published: 2025-09-19T00:00:00Z
date_updated: 2026-09-16T07:07:04Z
day: '19'
ddc:
- '541'
- '543'
- '542'
degree_awarded: PhD
department:
- _id: GradSch
- _id: StFr
doi: 10.15479/AT-ISTA-20607
doi_confirm: '1'
file:
- access_level: closed
  checksum: b5eed6a3dccb83cd2a8a22e11fd7d867
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  creator: smondal
  date_created: 2025-11-13T16:47:47Z
  date_updated: 2025-11-13T16:47:47Z
  file_id: '20644'
  file_name: 2025_Mondal_Soumyadip_Thesis.docx
  file_size: 32589295
  relation: source_file
- access_level: closed
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  content_type: application/pdf
  creator: smondal
  date_created: 2025-11-13T16:47:46Z
  date_updated: 2025-11-13T16:47:46Z
  embargo: 2026-11-13
  embargo_to: open_access
  file_id: '20645'
  file_name: 2025_Mondal_Soumyadip_Thesis.pdf
  file_size: 5007370
  relation: main_file
file_date_updated: 2025-11-13T16:47:47Z
fulldoi: https://doi.org/10.15479/AT-ISTA-20607
has_accepted_license: '1'
language:
- iso: eng
month: '09'
oa_version: Published Version
page: '71'
project:
- _id: 8df062be-16d5-11f0-9cad-f559b6612c7e
  grant_number: P37169
  name: Singlet oxygen in non-aqueous oxygen redox chemistry
- _id: 5eaf4378-b033-11f1-b276-f928018a46c1
  grant_number: COE05
  name: Materials for Energy Conversion and Storage (Freunberger)
publication_identifier:
  isbn:
  - 978-3-99078-071-8
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '12065'
    relation: part_of_dissertation
    status: public
  - id: '13044'
    relation: part_of_dissertation
    status: public
  - id: '20437'
    relation: part_of_dissertation
    status: deleted
  - id: '14687'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Stefan Alexander
  full_name: Freunberger, Stefan Alexander
  id: A8CA28E6-CE23-11E9-AD2D-EC27E6697425
  last_name: Freunberger
  orcid: 0000-0003-2902-5319
title: 'Oxygen and sulfur redox: Conversion kinetics and phase equilibria'
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: dissertation
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: publisher
OA_type: free access
_id: '22828'
abstract:
- lang: eng
  text: 'We propose Joint Moment Estimation (JME), a method for continually and privately
    estimating both the first and second moments of a data stream with reduced noise
    compared to naive approaches. JME supports the matrix mechanism and exploits a
    joint sensitivity analysis to identify a privacy regime in which the second-moment
    estimation incurs no additional privacy cost, thereby improving accuracy while
    maintaining privacy. We demonstrate JME’s effectiveness in two applications: estimating
    the running mean and covariance matrix for Gaussian density estimation and model
    training with DP-Adam.'
acknowledgement: "We thank Monika Henzinger for her valuable feedback and insightful
  discussions on earlier versions\r\nof this draft. We are also grateful to Mher Safaryan
  for his contributions to discussions on DP-Adam.\r\nAdditionally, we thank Ryan
  McKenna for suggesting Joint Clipping as a baseline.\r\nJalaj Upadhyay’s research
  was funded by the Rutgers Decanal Grant no. 302918, NSF CNS 2433628,\r\nGoogle Research
  Scholar Award, and Google Seed Fund Grant. A part of this work was done while\r\nvisiting
  the Institute of Science and Technology Austria (ISTA).\r\nNikita Kalinin’s research
  was funded in part by the Austrian Science Fund (FWF) [10.55776/COE12]"
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
author:
- first_name: Nikita
  full_name: Kalinin, Nikita
  id: 4b14526e-14d2-11ed-ba64-c14c9553d137
  last_name: Kalinin
- first_name: Jalaj
  full_name: Upadhyay, Jalaj
  last_name: Upadhyay
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
citation:
  ama: 'Kalinin N, Upadhyay J, Lampert C. Continual release moment estimation with
    differential privacy. In: <i>Advances in Neural Information Processing Systems</i>.
    Vol 38. Neural Information Processing Systems Foundation; 2025:64002-64047. doi:<a
    href="https://doi.org/10.52202/085713-1924">10.52202/085713-1924</a>'
  apa: 'Kalinin, N., Upadhyay, J., &#38; Lampert, C. (2025). Continual release moment
    estimation with differential privacy. In <i>Advances in Neural Information Processing
    Systems</i> (Vol. 38, pp. 64002–64047). San Diego, CA, United States: Neural Information
    Processing Systems Foundation. <a href="https://doi.org/10.52202/085713-1924">https://doi.org/10.52202/085713-1924</a>'
  chicago: Kalinin, Nikita, Jalaj Upadhyay, and Christoph Lampert. “Continual Release
    Moment Estimation with Differential Privacy.” In <i>Advances in Neural Information
    Processing Systems</i>, 38:64002–47. Neural Information Processing Systems Foundation,
    2025. <a href="https://doi.org/10.52202/085713-1924">https://doi.org/10.52202/085713-1924</a>.
  ieee: N. Kalinin, J. Upadhyay, and C. Lampert, “Continual release moment estimation
    with differential privacy,” in <i>Advances in Neural Information Processing Systems</i>,
    San Diego, CA, United States, 2025, vol. 38, pp. 64002–64047.
  ista: 'Kalinin N, Upadhyay J, Lampert C. 2025. Continual release moment estimation
    with differential privacy. Advances in Neural Information Processing Systems.
    NeurIPS: Neural Information Processing Systems, Advances in Neural Information
    Processing Systems, vol. 38, 64002–64047.'
  mla: Kalinin, Nikita, et al. “Continual Release Moment Estimation with Differential
    Privacy.” <i>Advances in Neural Information Processing Systems</i>, vol. 38, Neural
    Information Processing Systems Foundation, 2025, pp. 64002–47, doi:<a href="https://doi.org/10.52202/085713-1924">10.52202/085713-1924</a>.
  short: N. Kalinin, J. Upadhyay, C. Lampert, in:, Advances in Neural Information
    Processing Systems, Neural Information Processing Systems Foundation, 2025, pp.
    64002–64047.
conference:
  location: San Diego, CA, United States
  name: 'NeurIPS: Neural Information Processing Systems'
corr_author: '1'
das_tickbox: '0'
date_created: 2026-09-06T22:02:00Z
date_published: 2025-12-02T00:00:00Z
date_updated: 2026-09-16T07:40:56Z
day: '02'
department:
- _id: GradSch
- _id: ChLa
doi: 10.52202/085713-1924
fulldoi: https://doi.org/10.52202/085713-1924
intvolume: '        38'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.52202/085713-1924
month: '12'
oa: 1
oa_version: Published Version
page: 64002-64047
project:
- _id: d8f03aaa-b035-11f1-8588-d5147fa879e0
  grant_number: COE12
  name: Bilateral Artificial Intelligence (Lampert)
publication: Advances in Neural Information Processing Systems
publication_identifier:
  isbn:
  - '9798331338275'
  issn:
  - 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Continual release moment estimation with differential privacy
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 38
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '22827'
abstract:
- lang: eng
  text: Quantized training of Large Language Models (LLMs) remains an open challenge,
    as maintaining accuracy while performing all matrix multiplications in low precision
    has proven difficult. This is particularly the case when fine-tuning pre-trained
    models, which can have large weight, activation, and error (output gradient) outlier
    values that make lower-precision optimization difficult. To address this, we present
    HALO, a new quantization-aware training approach for Transformers that enables
    accurate and efficient low-precision training by combining 1) strategic placement
    of Hadamard rotations in both forward and backward passes, which mitigate outliers,
    2) high-performance kernel support, and 3) FSDP integration for low-precision
    communication. Our approach ensures that all large matrix multiplications during
    the forward and backward passes are executed in lower precision. Applied to LLaMa
    models, HALO achieves near-full-precision-equivalent results during fine-tuning
    on various tasks, while delivering up to 1.41x end-to-end speedup for full fine-tuning
    on RTX 4090 GPUs. HALO efficiently supports both standard and parameter-efficient
    fine-tuning (PEFT). Our results demonstrate the first practical approach to fully
    quantized LLM fine-tuning that maintains accuracy in INT8 and FP6 precision, while
    delivering performance benefits.
acknowledgement: "This project has received funding from the European Research Council
  (ERC) under the European\r\nUnion’s Horizon 2020 program (grant agreement PSAP,
  No. 101002047. This research also obtained\r\nfunding from the “UrbanTwin: An urban
  digital twin for climate action: Assessing policies and\r\nsolutions for energy,
  water and infrastructure” project, funded by the ETH-Domain Joint Initiative\r\nprogram
  in the Strategic Area Energy, Climate and Sustainable Environment."
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Saleh
  full_name: Ashkboos, Saleh
  last_name: Ashkboos
- first_name: Mahdi
  full_name: Nikdan, Mahdi
  id: 66374281-f394-11eb-9cf6-869147deecc0
  last_name: Nikdan
- first_name: Soroush
  full_name: Tabesh, Soroush
  id: 06000900-6068-11ef-8d61-c2472ef2e752
  last_name: Tabesh
  orcid: 0009-0003-4119-6281
- first_name: Roberto
  full_name: Lopez Castro, Roberto
  id: 18495c31-fb57-11ef-ba0d-c290e10e394e
  last_name: Lopez Castro
- first_name: Torsten
  full_name: Hoefler, Torsten
  last_name: Hoefler
- 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: 'Ashkboos S, Nikdan M, Tabesh S, Lopez Castro R, Hoefler T, Alistarh D-A. HALO:
    Hadamard-assisted lower-precision optimization for LLMs. In: <i>39th Conference
    on Neural Information Processing Systems</i>. Vol 38. Neural Information Processing
    Systems Foundation; 2025:131755-131780. doi:<a href="https://doi.org/10.52202/085713-3966">10.52202/085713-3966</a>'
  apa: 'Ashkboos, S., Nikdan, M., Tabesh, S., Lopez Castro, R., Hoefler, T., &#38;
    Alistarh, D.-A. (2025). HALO: Hadamard-assisted lower-precision optimization for
    LLMs. In <i>39th Conference on Neural Information Processing Systems</i> (Vol.
    38, pp. 131755–131780). San Diego, CA, United States: Neural Information Processing
    Systems Foundation. <a href="https://doi.org/10.52202/085713-3966">https://doi.org/10.52202/085713-3966</a>'
  chicago: 'Ashkboos, Saleh, Mahdi Nikdan, Soroush Tabesh, Roberto Lopez Castro, Torsten
    Hoefler, and Dan-Adrian Alistarh. “HALO: Hadamard-Assisted Lower-Precision Optimization
    for LLMs.” In <i>39th Conference on Neural Information Processing Systems</i>,
    38:131755–80. Neural Information Processing Systems Foundation, 2025. <a href="https://doi.org/10.52202/085713-3966">https://doi.org/10.52202/085713-3966</a>.'
  ieee: 'S. Ashkboos, M. Nikdan, S. Tabesh, R. Lopez Castro, T. Hoefler, and D.-A.
    Alistarh, “HALO: Hadamard-assisted lower-precision optimization for LLMs,” in
    <i>39th Conference on Neural Information Processing Systems</i>, San Diego, CA,
    United States, 2025, vol. 38, pp. 131755–131780.'
  ista: 'Ashkboos S, Nikdan M, Tabesh S, Lopez Castro R, Hoefler T, Alistarh D-A.
    2025. HALO: Hadamard-assisted lower-precision optimization for LLMs. 39th Conference
    on Neural Information Processing Systems. NeurIPS: Neural Information Processing
    Systems, Advances in Neural Information Processing Systems, vol. 38, 131755–131780.'
  mla: 'Ashkboos, Saleh, et al. “HALO: Hadamard-Assisted Lower-Precision Optimization
    for LLMs.” <i>39th Conference on Neural Information Processing Systems</i>, vol.
    38, Neural Information Processing Systems Foundation, 2025, pp. 131755–80, doi:<a
    href="https://doi.org/10.52202/085713-3966">10.52202/085713-3966</a>.'
  short: S. Ashkboos, M. Nikdan, S. Tabesh, R. Lopez Castro, T. Hoefler, D.-A. Alistarh,
    in:, 39th Conference on Neural Information Processing Systems, Neural Information
    Processing Systems Foundation, 2025, pp. 131755–131780.
conference:
  end_date: 2025-12-07
  location: San Diego, CA, United States
  name: 'NeurIPS: Neural Information Processing Systems'
  start_date: 2025-12-02
das_tickbox: '0'
date_created: 2026-09-06T22:02:00Z
date_published: 2025-12-01T00:00:00Z
date_updated: 2026-09-17T06:39:18Z
day: '01'
department:
- _id: DaAl
- _id: GradSch
doi: 10.52202/085713-3966
external_id:
  arxiv:
  - '2501.02625'
fulldoi: https://doi.org/10.52202/085713-3966
intvolume: '        38'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2501.02625
month: '12'
oa: 1
oa_version: Preprint
page: 131755-131780
publication: 39th Conference on Neural Information Processing Systems
publication_identifier:
  eissn:
  - 1049-5258
  isbn:
  - '9798331338275'
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: 'HALO: Hadamard-assisted lower-precision optimization for LLMs'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 38
year: '2025'
...
---
OA_place: repository
OA_type: green
_id: '22832'
abstract:
- lang: eng
  text: "In many scientific experiments, the data annotating cost constraints the
    pace\r\nfor testing novel hypotheses. Yet, modern machine learning pipelines offer
    a\r\npromising solution—provided their predictions yield correct conclusions.
    We\r\nfocus on Prediction-Powered Causal Inferences (PPCI), i.e., estimating the\r\ntreatment
    effect in an unlabeled target experiment, relying on training data with\r\nthe
    same outcome annotated but potentially different treatment or effect modifiers.\r\nWe
    first show that conditional calibration guarantees valid PPCI at population\r\nlevel.
    Then, we introduce a sufficient representation constraint transferring validity\r\nacross
    experiments, which we propose to enforce in practice in Deconfounded\r\nEmpirical
    Risk Minimization, our new model-agnostic training objective. We\r\nvalidate our
    method on synthetic and real-world scientific data, solving impossible\r\nproblem
    instances for Empirical Risk Minimization even with standard invariance\r\nconstraints.
    In particular, for the first time, we achieve valid causal inference\r\non a scientific
    experiment with complex recording and no human annotations,\r\nfine-tuning a foundational
    model on our similar annotated experiment."
acknowledgement: "We thank the Causal Learning and Artificial Intelligence group at
  ISTA for the continuous feedback\r\non the project and valuable discussions. We
  thank the Social Immunity group at ISTA, particularly\r\nJinook Oh, for the annotation
  program and Michaela Hoenigsberger for supporting our ecological\r\nexperiment.
  Riccardo Cadei is supported by a Google Research Scholar Award and a Google Initiated\r\nGift
  to Francesco Locatello. This research was funded in part by the Austrian Science
  Fund (FWF)\r\n10.55776/COE12). It was further partially supported by the ISTA Interdisciplinary
  Project Committee\r\nfor the collaborative project “ALED” between Francesco Locatello
  and Sylvia Cremer. For open\r\naccess purposes, the author has applied a CC BY public
  copyright license to any author accepted\r\nmanuscript version arising from this
  submission.\r\n"
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Riccardo
  full_name: Cadei, Riccardo
  id: 0fa8b76f-72f0-11ef-b75a-a5da96e5ad6b
  last_name: Cadei
- first_name: Ilker
  full_name: Demirel, Ilker
  last_name: Demirel
- first_name: Piersilvio
  full_name: De Bartolomeis, Piersilvio
  last_name: De Bartolomeis
- first_name: Lukas
  full_name: Lindorfer, Lukas
  id: 85f0e6d3-06b3-11ec-8982-8c5049fa4455
  last_name: Lindorfer
- first_name: Sylvia
  full_name: Cremer, Sylvia
  id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87
  last_name: Cremer
  orcid: 0000-0002-2193-3868
- first_name: Cordelia
  full_name: Schmid, Cordelia
  last_name: Schmid
- first_name: Francesco
  full_name: Locatello, Francesco
  id: 26cfd52f-2483-11ee-8040-88983bcc06d4
  last_name: Locatello
  orcid: 0000-0002-4850-0683
citation:
  ama: 'Cadei R, Demirel I, De Bartolomeis P, et al. Prediction-Powered Causal Inferences.
    In: <i>39th Conference on Neural Information Processing Systems</i>. Vol 38. Neural
    Information Processing Systems Foundation; 2025:82200-82229. doi:<a href="https://doi.org/10.52202/085713-2479">10.52202/085713-2479</a>'
  apa: 'Cadei, R., Demirel, I., De Bartolomeis, P., Lindorfer, L., Cremer, S., Schmid,
    C., &#38; Locatello, F. (2025). Prediction-Powered Causal Inferences. In <i>39th
    Conference on Neural Information Processing Systems</i> (Vol. 38, pp. 82200–82229).
    San Diego, CA, United States: Neural Information Processing Systems Foundation.
    <a href="https://doi.org/10.52202/085713-2479">https://doi.org/10.52202/085713-2479</a>'
  chicago: Cadei, Riccardo, Ilker Demirel, Piersilvio De Bartolomeis, Lukas Lindorfer,
    Sylvia Cremer, Cordelia Schmid, and Francesco Locatello. “Prediction-Powered Causal
    Inferences.” In <i>39th Conference on Neural Information Processing Systems</i>,
    38:82200–229. Neural Information Processing Systems Foundation, 2025. <a href="https://doi.org/10.52202/085713-2479">https://doi.org/10.52202/085713-2479</a>.
  ieee: R. Cadei <i>et al.</i>, “Prediction-Powered Causal Inferences,” in <i>39th
    Conference on Neural Information Processing Systems</i>, San Diego, CA, United
    States, 2025, vol. 38, pp. 82200–82229.
  ista: 'Cadei R, Demirel I, De Bartolomeis P, Lindorfer L, Cremer S, Schmid C, Locatello
    F. 2025. Prediction-Powered Causal Inferences. 39th Conference on Neural Information
    Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in
    Neural Information Processing Systems, vol. 38, 82200–82229.'
  mla: Cadei, Riccardo, et al. “Prediction-Powered Causal Inferences.” <i>39th Conference
    on Neural Information Processing Systems</i>, vol. 38, Neural Information Processing
    Systems Foundation, 2025, pp. 82200–29, doi:<a href="https://doi.org/10.52202/085713-2479">10.52202/085713-2479</a>.
  short: R. Cadei, I. Demirel, P. De Bartolomeis, L. Lindorfer, S. Cremer, C. Schmid,
    F. Locatello, in:, 39th Conference on Neural Information Processing Systems, Neural
    Information Processing Systems Foundation, 2025, pp. 82200–82229.
conference:
  end_date: 2025-12-07
  location: San Diego, CA, United States
  name: 'NeurIPS: Neural Information Processing Systems'
  start_date: 2025-12-02
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: "We share all the code implementation in the supplementary
  material.\r\nOur new experimental ecology dataset preview is anonymously shared
  on Figshare at\r\nhttps://figshare.com/s/9a490b6f6eeebd73350b. We further rely on
  ISTAnt dataset publicly\r\navailable at https://doi.org/10.6084/m9.figshare.26484934.v2.
  The synthetic experiments\r\non CausalMNIST relies on MNIST dataset LeCun [1998],
  publicly available. Additional\r\nexperimental details are reported in Section 5
  and Appendices B-C."
date_created: 2026-09-06T22:02:01Z
date_published: 2025-12-01T00:00:00Z
date_updated: 2026-09-17T06:56:40Z
day: '01'
department:
- _id: FrLo
- _id: GradSch
- _id: SyCr
doi: 10.52202/085713-2479
external_id:
  arxiv:
  - '2502.06343'
fulldoi: https://doi.org/10.52202/085713-2479
intvolume: '        38'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2502.06343
month: '12'
oa: 1
oa_version: Preprint
page: 82200-82229
project:
- _id: a392d8f0-b034-11f1-b88e-d3025c6734f6
  grant_number: COE12
  name: Bilateral Artificial Intelligence (Locatello)
publication: 39th Conference on Neural Information Processing Systems
publication_identifier:
  isbn:
  - '9798331338275'
  issn:
  - 1049-5258
publication_status: published
publisher: Neural Information Processing Systems Foundation
quality_controlled: '1'
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Prediction-Powered Causal Inferences
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 38
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '20324'
abstract:
- lang: eng
  text: We report relaxation oscillations in a one-dimensional array of Josephson
    junctions, wherein the array dynamically switches between low-current and high-current
    states. The oscillations are current-voltage dual to those ordinarily observed
    in single junctions. The current-voltage dual circuit quantitatively accounts
    for temporal dynamics of the array, including the dependence on biasing conditions.
    Injection locking of the oscillations results in well-developed current plateaux.
    A thermal model explains the self-consistent reduction of the superconducting
    gap due to overheating of the array in the high-current state. Our work suggests
    that overheating determines the switching from the high-current state to the low-current
    state.
acknowledged_ssus:
- _id: M-Shop
- _id: NanoFab
acknowledgement: We gratefully acknowledge support from the Miba Machine Shop and
  the Nanofabrictation Facility at IST Austria. This work was supported by the Austrian
  FWF under Grant No. P33692-N (S.M., J.S., and A.P.H.), the European Union’s Horizon
  2020 research and innovation program under Marie Skłodowska-Curie Grant Agreement
  No. 754411 (J.S.), and a NOMIS Foundation research grant (A.P.H.).
article_number: '014035'
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Soham
  full_name: Mukhopadhyay, Soham
  id: FDE60288-A89D-11E9-947F-1AF6E5697425
  last_name: Mukhopadhyay
  orcid: 0000-0001-5263-5559
- first_name: Diego A
  full_name: Lancheros Naranjo, Diego A
  id: 6c55e976-15b2-11ec-abd3-d790e8937fde
  last_name: Lancheros Naranjo
- first_name: Jorden L
  full_name: Senior, Jorden L
  id: 5479D234-2D30-11EA-89CC-40953DDC885E
  last_name: Senior
  orcid: 0000-0002-0672-9295
- 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: Mukhopadhyay S, Lancheros Naranjo DA, Senior JL, Higginbotham AP. Dual relaxation
    oscillations in a Josephson-junction array. <i>Physical Review Applied</i>. 2025;24.
    doi:<a href="https://doi.org/10.1103/qvls-7s3q">10.1103/qvls-7s3q</a>
  apa: Mukhopadhyay, S., Lancheros Naranjo, D. A., Senior, J. L., &#38; Higginbotham,
    A. P. (2025). Dual relaxation oscillations in a Josephson-junction array. <i>Physical
    Review Applied</i>. American Physical Society. <a href="https://doi.org/10.1103/qvls-7s3q">https://doi.org/10.1103/qvls-7s3q</a>
  chicago: Mukhopadhyay, Soham, Diego A Lancheros Naranjo, Jorden L Senior, and Andrew
    P Higginbotham. “Dual Relaxation Oscillations in a Josephson-Junction Array.”
    <i>Physical Review Applied</i>. American Physical Society, 2025. <a href="https://doi.org/10.1103/qvls-7s3q">https://doi.org/10.1103/qvls-7s3q</a>.
  ieee: S. Mukhopadhyay, D. A. Lancheros Naranjo, J. L. Senior, and A. P. Higginbotham,
    “Dual relaxation oscillations in a Josephson-junction array,” <i>Physical Review
    Applied</i>, vol. 24. American Physical Society, 2025.
  ista: Mukhopadhyay S, Lancheros Naranjo DA, Senior JL, Higginbotham AP. 2025. Dual
    relaxation oscillations in a Josephson-junction array. Physical Review Applied.
    24, 014035.
  mla: Mukhopadhyay, Soham, et al. “Dual Relaxation Oscillations in a Josephson-Junction
    Array.” <i>Physical Review Applied</i>, vol. 24, 014035, American Physical Society,
    2025, doi:<a href="https://doi.org/10.1103/qvls-7s3q">10.1103/qvls-7s3q</a>.
  short: S. Mukhopadhyay, D.A. Lancheros Naranjo, J.L. Senior, A.P. Higginbotham,
    Physical Review Applied 24 (2025).
corr_author: '1'
date_created: 2025-09-10T05:41:30Z
date_published: 2025-07-17T00:00:00Z
date_updated: 2026-09-24T10:13:38Z
day: '17'
ddc:
- '530'
department:
- _id: GradSch
- _id: AnHi
doi: 10.1103/qvls-7s3q
ec_funded: 1
external_id:
  arxiv:
  - '2408.07829 '
  isi:
  - '001537333100001'
file:
- access_level: open_access
  checksum: 6cc3c9beeb7c0a88ee0a072c9a32b78b
  content_type: application/pdf
  creator: dernst
  date_created: 2025-09-10T07:29:06Z
  date_updated: 2025-09-10T07:29:06Z
  file_id: '20335'
  file_name: 2025_PhysReviewAppl_Mukhopadhyay.pdf
  file_size: 1370466
  relation: main_file
  success: 1
file_date_updated: 2025-09-10T07:29:06Z
fulldoi: https://doi.org/10.1103/qvls-7s3q
has_accepted_license: '1'
intvolume: '        24'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 0aa3608a-070f-11eb-9043-e9cd8a2bd931
  grant_number: P33692
  name: Cavity electromechanics across a quantum phase transition
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: eb9b30ac-77a9-11ec-83b8-871f581d53d2
  name: Protected states of quantum matter
publication: Physical Review Applied
publication_identifier:
  issn:
  - 2331-7019
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
related_material:
  record:
  - id: '18057'
    relation: earlier_version
    status: public
scopus_import: '1'
status: public
title: Dual relaxation oscillations in a Josephson-junction array
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: 24
year: '2025'
...
