---
OA_place: repository
OA_type: green
_id: '19063'
abstract:
- lang: eng
text: "Instruction-tuned Large Language Models (LLMs) show impressive results in
numerous practical applications, but they lack essential safety features that
are common in other areas of computer science, particularly an explicit separation
of instructions and data. This makes them vulnerable to manipulations such as
indirect prompt injections and generally unsuitable for safety-critical tasks.
Surprisingly, there is currently no established definition or benchmark to quantify
this phenomenon. In this work, we close this gap by introducing a formal measure
for instruction-data separation and an empirical variant that is calculable from
a model's outputs. We also present a new dataset, SEP, that allows estimating
the measure for real-world models. Our results on various LLMs show that the problem
of instruction-data separation is real: all models fail to achieve high separation,
and canonical mitigation techniques, such as prompt engineering and fine-tuning,
either fail to substantially improve separation or reduce model utility. The source
code and SEP dataset are openly accessible at https://github.com/egozverev/Shold-It-Be-Executed-Or-Processed.\r\n"
acknowledged_ssus:
- _id: ScienComp
acknowledgement: The authors would like to sincerely thank Juan Rocamonde for valuable
feedback to our manuscript. We acknowledge the support from the Scientific Service
Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp).
We thank Dan Alistarh for providing us with computational resources. This work was
partially funded by the German Federal Ministry of Education and Research (BMBF)
under the grant AIgenCY (16KIS2012) and ELSA – European Lighthouse on Secure and
Safe AI funded by the European Union under grant agreement No. 101070617. Views
and opinions expressed are however those of the authors only and do not necessarily
reflect those of the European Union or European Commission. Neither the European
Union nor the European Commission can be held responsible for them.
article_number: '2403.06833'
article_processing_charge: No
arxiv: 1
author:
- first_name: Egor
full_name: Zverev, Egor
id: 05162b19-1340-11ed-8f02-fa94e0e8c3bc
last_name: Zverev
- first_name: Sahar
full_name: Abdelnabi, Sahar
last_name: Abdelnabi
- first_name: Soroush
full_name: Tabesh, Soroush
id: 06000900-6068-11ef-8d61-c2472ef2e752
last_name: Tabesh
orcid: 0009-0003-4119-6281
- first_name: Mario
full_name: Fritz, Mario
last_name: Fritz
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: Zverev E, Abdelnabi S, Tabesh S, Fritz M, Lampert C. Can LLMs separate instructions
from data? And what do we even mean by that? arXiv. doi:10.48550/arXiv.2403.06833
apa: Zverev, E., Abdelnabi, S., Tabesh, S., Fritz, M., & Lampert, C. (n.d.).
Can LLMs separate instructions from data? And what do we even mean by that? arXiv.
https://doi.org/10.48550/arXiv.2403.06833
chicago: Zverev, Egor, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, and Christoph
Lampert. “Can LLMs Separate Instructions from Data? And What Do We Even Mean by
That?” ArXiv, n.d. https://doi.org/10.48550/arXiv.2403.06833.
ieee: E. Zverev, S. Abdelnabi, S. Tabesh, M. Fritz, and C. Lampert, “Can LLMs separate
instructions from data? And what do we even mean by that?,” arXiv. .
ista: Zverev E, Abdelnabi S, Tabesh S, Fritz M, Lampert C. Can LLMs separate instructions
from data? And what do we even mean by that? arXiv, 2403.06833.
mla: Zverev, Egor, et al. “Can LLMs Separate Instructions from Data? And What Do
We Even Mean by That?” ArXiv, 2403.06833, doi:10.48550/arXiv.2403.06833.
short: E. Zverev, S. Abdelnabi, S. Tabesh, M. Fritz, C. Lampert, ArXiv (n.d.).
corr_author: '1'
date_created: 2025-02-20T10:13:42Z
date_published: 2024-03-01T00:00:00Z
date_updated: 2026-08-13T07:26:54Z
day: '01'
ddc:
- '000'
department:
- _id: GradSch
- _id: ChLa
doi: 10.48550/arXiv.2403.06833
external_id:
arxiv:
- '2403.06833'
file:
- access_level: open_access
checksum: 35eb43968684b87be59144603ef10af0
content_type: application/pdf
creator: ezverev
date_created: 2025-02-20T10:11:45Z
date_updated: 2025-02-20T10:11:45Z
file_id: '19064'
file_name: 2403.06833v3.pdf
file_size: 530972
relation: main_file
success: 1
file_date_updated: 2025-02-20T10:11:45Z
fulldoi: https://doi.org/10.48550/arXiv.2403.06833
has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
related_material:
link:
- relation: software
url: ' https://github.com/egozverev/Shold-It-Be-Executed-Or-Processed'
status: public
title: Can LLMs separate instructions from data? And what do we even mean by that?
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
_id: '14687'
abstract:
- lang: eng
text: The short history of research on Li-O2 batteries has seen a remarkable number
of mechanistic U-turns over the years. From the initial use of carbonate electrolytes,
that were then found to be entirely unsuitable, to the belief that (su)peroxide
was solely responsible for degradation, before the more reactive singlet oxygen
was found to form, to the hypothesis that capacity depends on a competing surface/solution
mechanism before a practically exclusive solution mechanism was identified. Herein,
we argue for an ever-fresh look at the reported data without bias towards supposedly
established explanations. We explain how the latest findings on rate and capacity
limits, as well as the origin of side reactions, are connected via the disproportionation
(DISP) step in the (dis)charge mechanism. Therefrom, directions emerge for the
design of electrolytes and mediators on how to suppress side reactions and to
enable high rate and high reversible capacity.
acknowledgement: S.A.F. is indebted to ISTA for support. R.B.J. thanks the European
Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie
grant agreement No 101034413 for funding. B.P. thanks Alistore ERI for providing
a PhD scholarship.
article_number: e202316476
article_processing_charge: Yes (via OA deal)
article_type: review
author:
- first_name: Rajesh B
full_name: Jethwa, Rajesh B
id: 4cc538d5-803f-11ed-ab7e-8139573aad8f
last_name: Jethwa
orcid: 0000-0002-0404-4356
- first_name: Soumyadip
full_name: Mondal, Soumyadip
id: d25d21ef-dc8d-11ea-abe3-ec4576307f48
last_name: Mondal
- first_name: Bhargavi
full_name: Pant, Bhargavi
id: 50c64d4d-eb97-11eb-a6c2-d33e5e14f112
last_name: Pant
- first_name: Stefan Alexander
full_name: Freunberger, Stefan Alexander
id: A8CA28E6-CE23-11E9-AD2D-EC27E6697425
last_name: Freunberger
orcid: 0000-0003-2902-5319
citation:
ama: Jethwa RB, Mondal S, Pant B, Freunberger SA. To DISP or not? The far‐reaching
reaction mechanisms underpinning Lithium‐air batteries. Angewandte Chemie International
Edition. 2024;63(28). doi:10.1002/anie.202316476
apa: Jethwa, R. B., Mondal, S., Pant, B., & Freunberger, S. A. (2024). To DISP
or not? The far‐reaching reaction mechanisms underpinning Lithium‐air batteries.
Angewandte Chemie International Edition. Wiley. https://doi.org/10.1002/anie.202316476
chicago: Jethwa, Rajesh B, Soumyadip Mondal, Bhargavi Pant, and Stefan Alexander
Freunberger. “To DISP or Not? The Far‐reaching Reaction Mechanisms Underpinning
Lithium‐air Batteries.” Angewandte Chemie International Edition. Wiley,
2024. https://doi.org/10.1002/anie.202316476.
ieee: R. B. Jethwa, S. Mondal, B. Pant, and S. A. Freunberger, “To DISP or not?
The far‐reaching reaction mechanisms underpinning Lithium‐air batteries,” Angewandte
Chemie International Edition, vol. 63, no. 28. Wiley, 2024.
ista: Jethwa RB, Mondal S, Pant B, Freunberger SA. 2024. To DISP or not? The far‐reaching
reaction mechanisms underpinning Lithium‐air batteries. Angewandte Chemie International
Edition. 63(28), e202316476.
mla: Jethwa, Rajesh B., et al. “To DISP or Not? The Far‐reaching Reaction Mechanisms
Underpinning Lithium‐air Batteries.” Angewandte Chemie International Edition,
vol. 63, no. 28, e202316476, Wiley, 2024, doi:10.1002/anie.202316476.
short: R.B. Jethwa, S. Mondal, B. Pant, S.A. Freunberger, Angewandte Chemie International
Edition 63 (2024).
corr_author: '1'
date_created: 2023-12-15T16:10:13Z
date_published: 2024-07-08T00:00:00Z
date_updated: 2026-09-16T07:07:04Z
day: '08'
ddc:
- '540'
department:
- _id: StFr
- _id: GradSch
doi: 10.1002/anie.202316476
ec_funded: 1
external_id:
isi:
- '001241932700001'
pmid:
- '38095355'
file:
- access_level: open_access
checksum: fe2c23454279eb9d76ed6ca9970c21c7
content_type: application/pdf
creator: dernst
date_created: 2024-07-16T11:54:46Z
date_updated: 2024-07-16T11:54:46Z
file_id: '17261'
file_name: 2024_AngChemieInt_Jethwa.pdf
file_size: 4766445
relation: main_file
success: 1
file_date_updated: 2024-07-16T11:54:46Z
fulldoi: https://doi.org/10.1002/anie.202316476
has_accepted_license: '1'
intvolume: ' 63'
isi: 1
issue: '28'
keyword:
- General Chemistry
- Catalysis
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: Angewandte Chemie International Edition
publication_identifier:
eissn:
- 1521-3773
issn:
- 1433-7851
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '20607'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: To DISP or not? The far‐reaching reaction mechanisms underpinning Lithium‐air
batteries
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 63
year: '2024'
...
---
_id: '17362'
abstract:
- lang: eng
text: This is the supplementary data for the paper titled "Single-nucleus atlas
of the Artemia female reproductive system suggests germline repression of the
Z chromosome", where we described the generation and analysis of single-nucleus
expression and chromatin-accessibility data from the female reproductive system
of Artemia franciscana. We compared our dataset to the published Drosophila single-nucleus
data (over 400 million years of divergence) and highlighted the extreme conservation
of several of the molecular pathways of oogenesis and meiosis. We found evidence
of global transcriptional quiescence and chromatin condensation in late germ cells,
highlighting the conserved role of this repressive stage in arthropod oogenesis.
Additionally, we explored the expression patterns of the ZW sex chromosomes during
oogenesis. Our data shows that the Z-chromosome is consistently downregulated
in germline cells. While this is partly driven by a lack of dosage compensation
in the germline, a subset of cells show stronger repression of the Z chromosome.
acknowledged_ssus:
- _id: ScienComp
article_processing_charge: No
author:
- first_name: Marwan N
full_name: Elkrewi, Marwan N
id: 0B46FACA-A8E1-11E9-9BD3-79D1E5697425
last_name: Elkrewi
orcid: 0000-0002-5328-7231
- first_name: Beatriz
full_name: Vicoso, Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
citation:
ama: 'Elkrewi MN, Vicoso B. Data for: “Single-nucleus atlas of the Artemia female
reproductive system suggests germline repression of the Z chromosome.” 2024. doi:10.15479/AT:ISTA:17362'
apa: 'Elkrewi, M. N., & Vicoso, B. (2024). Data for: “Single-nucleus atlas of
the Artemia female reproductive system suggests germline repression of the Z chromosome.”
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:17362'
chicago: 'Elkrewi, Marwan N, and Beatriz Vicoso. “Data for: ‘Single-Nucleus Atlas
of the Artemia Female Reproductive System Suggests Germline Repression of the
Z Chromosome.’” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/AT:ISTA:17362.'
ieee: 'M. N. Elkrewi and B. Vicoso, “Data for: ‘Single-nucleus atlas of the Artemia
female reproductive system suggests germline repression of the Z chromosome.’”
Institute of Science and Technology Austria, 2024.'
ista: 'Elkrewi MN, Vicoso B. 2024. Data for: ‘Single-nucleus atlas of the Artemia
female reproductive system suggests germline repression of the Z chromosome’,
Institute of Science and Technology Austria, 10.15479/AT:ISTA:17362.'
mla: 'Elkrewi, Marwan N., and Beatriz Vicoso. Data for: “Single-Nucleus Atlas
of the Artemia Female Reproductive System Suggests Germline Repression of the
Z Chromosome.” Institute of Science and Technology Austria, 2024, doi:10.15479/AT:ISTA:17362.'
short: M.N. Elkrewi, B. Vicoso, (2024).
corr_author: '1'
date_created: 2024-08-02T07:27:45Z
date_published: 2024-08-05T00:00:00Z
date_updated: 2026-09-24T11:17:37Z
day: '05'
ddc:
- '576'
department:
- _id: GradSch
- _id: BeVi
doi: 10.15479/AT:ISTA:17362
file:
- access_level: open_access
checksum: 26b5d41b3103f4284dd97d56e370a5b6
content_type: text/plain
creator: melkrewi
date_created: 2024-08-05T22:24:18Z
date_updated: 2024-08-05T22:24:18Z
file_id: '17394'
file_name: README.txt
file_size: 2465
relation: main_file
success: 1
- access_level: open_access
checksum: 95adab5e36148015da313505e3910707
content_type: application/x-zip-compressed
creator: melkrewi
date_created: 2024-08-05T23:28:52Z
date_updated: 2024-08-05T23:28:52Z
file_id: '17395'
file_name: Data_artemia_single_nucleus_atlas.zip
file_size: 2526735400
relation: main_file
success: 1
file_date_updated: 2024-08-05T23:28:52Z
fulldoi: https://doi.org/10.15479/AT:ISTA:17362
has_accepted_license: '1'
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 34ae1506-11ca-11ed-8bc3-c14f4c474396
grant_number: F8810
name: The highjacking of meiosis for asexual reproduction
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '17890'
relation: used_in_publication
status: public
status: public
title: 'Data for: "Single-nucleus atlas of the Artemia female reproductive system
suggests germline repression of the Z chromosome"'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
_id: '18113'
abstract:
- lang: eng
text: 'The emergence of accurate open large language models (LLMs) has led to a
race towards performant quantization techniques which can enable their execution
on end-user devices. In this paper, we revisit the problem of “extreme” LLM compression—defined
as targeting extremely low bit counts, such as 2 to 3 bits per parameter—from
the point of view of classic methods in Multi-Codebook Quantization (MCQ). Our
algorithm, called AQLM, generalizes the classic Additive Quantization (AQ) approach
for information retrieval to advance the state-of-the-art in LLM compression,
via two innovations: 1) learned additive quantization of weight matrices in input-adaptive
fashion, and 2) joint optimization of codebook parameters across each transformer
blocks. Broadly, AQLM is the first scheme that is Pareto optimal in terms of accuracy-vs-model-size
when compressing to less than 3 bits per parameter, and significantly improves
upon all known schemes in the extreme compression (2bit) regime. In addition,
AQLM is practical: we provide fast GPU and CPU implementations of AQLM for token
generation, which enable us to match or outperform optimized FP16 implementations
for speed, while executing in a much smaller memory footprint.'
acknowledgement: "Authors would like to thank Ruslan Svirschevski for his help in
solving technical issues with AQLM and baselines. We also thank Tim Dettmers for
helpful discussions on the structure of weights in modern LLMs and size-accuracy
trade-offs. The authors would also like to thank Daniil Pavlov for his assistance
with CPU benchmarking. Finally, authors would like to thank the communities of ML
enthusiasts known as LocalLLaMA5 and Petals community on discord6\r\nfor the crowd
wisdom about running LLMs on consumer devices. Egiazarian Vage and Denis Kuznedelev
and Andrei Panferov were supported by the grant for research centers in the field
of AI provided by the Analytical Center for the Government of the Russian Federation
(ACRF) in\r\naccordance with the agreement on the provision of subsidies (identifier
of the agreement 000000D730321P5Q0002) and the agreement with HSE University No.
70-2021-00139."
alternative_title:
- PMLR
article_processing_charge: No
arxiv: 1
author:
- first_name: Vage
full_name: Egiazarian, Vage
last_name: Egiazarian
- first_name: Andrei
full_name: Panferov, Andrei
id: 2c18daae-4dbe-11ef-8491-98ce2d960f09
last_name: Panferov
- first_name: Denis
full_name: Kuznedelev, Denis
last_name: Kuznedelev
- first_name: Elias
full_name: Frantar, Elias
id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f
last_name: Frantar
- first_name: Artem
full_name: Babenko, Artem
last_name: Babenko
- 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: 'Egiazarian V, Panferov A, Kuznedelev D, Frantar E, Babenko A, Alistarh D-A.
Extreme compression of large language models via additive quantization. In: Proceedings
of the 41st International Conference on Machine Learning. Vol 235. ML Research
Press; 2024:12284-12303.'
apa: 'Egiazarian, V., Panferov, A., Kuznedelev, D., Frantar, E., Babenko, A., &
Alistarh, D.-A. (2024). Extreme compression of large language models via additive
quantization. In Proceedings of the 41st International Conference on Machine
Learning (Vol. 235, pp. 12284–12303). Vienna, Austria: ML Research Press.'
chicago: Egiazarian, Vage, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem
Babenko, and Dan-Adrian Alistarh. “Extreme Compression of Large Language Models
via Additive Quantization.” In Proceedings of the 41st International Conference
on Machine Learning, 235:12284–303. ML Research Press, 2024.
ieee: V. Egiazarian, A. Panferov, D. Kuznedelev, E. Frantar, A. Babenko, and D.-A.
Alistarh, “Extreme compression of large language models via additive quantization,”
in Proceedings of the 41st International Conference on Machine Learning,
Vienna, Austria, 2024, vol. 235, pp. 12284–12303.
ista: 'Egiazarian V, Panferov A, Kuznedelev D, Frantar E, Babenko A, Alistarh D-A.
2024. Extreme compression of large language models via additive quantization.
Proceedings of the 41st International Conference on Machine Learning. ICML: International
Conference on Machine Learning, PMLR, vol. 235, 12284–12303.'
mla: Egiazarian, Vage, et al. “Extreme Compression of Large Language Models via
Additive Quantization.” Proceedings of the 41st International Conference on
Machine Learning, vol. 235, ML Research Press, 2024, pp. 12284–303.
short: V. Egiazarian, A. Panferov, D. Kuznedelev, E. Frantar, A. Babenko, D.-A.
Alistarh, in:, Proceedings of the 41st International Conference on Machine Learning,
ML Research Press, 2024, pp. 12284–12303.
conference:
end_date: 2024-07-27
location: Vienna, Austria
name: 'ICML: International Conference on Machine Learning'
start_date: 2024-07-21
corr_author: '1'
das_tickbox: '0'
date_created: 2024-09-22T22:01:43Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2026-10-01T09:34:19Z
day: '01'
department:
- _id: DaAl
- _id: GradSch
external_id:
arxiv:
- '2401.06118'
intvolume: ' 235'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.48550/arXiv.2401.06118'
month: '09'
oa: 1
oa_version: Preprint
page: 12284-12303
publication: Proceedings of the 41st International Conference on Machine Learning
publication_identifier:
eissn:
- 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Extreme compression of large language models via additive quantization
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 235
year: '2024'
...
---
_id: '18117'
abstract:
- lang: eng
text: "We investigate parameter-efficient fine-tuning (PEFT) methods that can provide
good accuracy under limited computational and memory budgets in the context of
large language models (LLMs). We present a new PEFT method called Robust Adaptation
(RoSA) inspired by robust principal component analysis that jointly trains low-rank\r\n
and highly-sparse components on top of a set of fixed pretrained weights to efficiently
approximate the performance of a full-fine-tuning (FFT) solution. Across a series
of challenging generative tasks such as grade-school math and SQL query generation,
which require fine-tuning for good performance, we show that RoSA outperforms
LoRA, pure sparse fine-tuning, and alternative hybrid methods at the same parameter
budget, and can even recover the performance of FFT on some tasks. We provide
system support for RoSA to complement the training algorithm, specifically in
the form of sparse GPU kernels which enable memory- and computationally-efficient
training, and show that it is also compatible with low-precision base weights,
resulting in the first joint representation combining quantization, low-rank and
sparse approximations. Our code is available at https://github.com/IST-DASLab/RoSA."
acknowledgement: The authors would like to thank Eldar Kurtic for experimental support
and useful suggestions throughout the project
article_processing_charge: No
arxiv: 1
author:
- 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: Elvir
full_name: Crncevic, Elvir
id: 41888001-440d-11ef-8299-d0e838b8185e
last_name: Crncevic
- 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: 'Nikdan M, Tabesh S, Crncevic E, Alistarh D-A. RoSA: Accurate parameter-efficient
fine-tuning via robust adaptation. In: Proceedings of the 41st International
Conference on Machine Learning. Vol 235. ML Research Press; 2024:38187-38206.'
apa: 'Nikdan, M., Tabesh, S., Crncevic, E., & Alistarh, D.-A. (2024). RoSA:
Accurate parameter-efficient fine-tuning via robust adaptation. In Proceedings
of the 41st International Conference on Machine Learning (Vol. 235, pp. 38187–38206).
Vienna, Austria: ML Research Press.'
chicago: 'Nikdan, Mahdi, Soroush Tabesh, Elvir Crncevic, and Dan-Adrian Alistarh.
“RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation.” In Proceedings
of the 41st International Conference on Machine Learning, 235:38187–206. ML
Research Press, 2024.'
ieee: 'M. Nikdan, S. Tabesh, E. Crncevic, and D.-A. Alistarh, “RoSA: Accurate parameter-efficient
fine-tuning via robust adaptation,” in Proceedings of the 41st International
Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 38187–38206.'
ista: 'Nikdan M, Tabesh S, Crncevic E, Alistarh D-A. 2024. RoSA: Accurate parameter-efficient
fine-tuning via robust adaptation. Proceedings of the 41st International Conference
on Machine Learning. ICML: International Conference on Machine Learning vol. 235,
38187–38206.'
mla: 'Nikdan, Mahdi, et al. “RoSA: Accurate Parameter-Efficient Fine-Tuning via
Robust Adaptation.” Proceedings of the 41st International Conference on Machine
Learning, vol. 235, ML Research Press, 2024, pp. 38187–206.'
short: M. Nikdan, S. Tabesh, E. Crncevic, D.-A. Alistarh, in:, Proceedings of the
41st International Conference on Machine Learning, ML Research Press, 2024, pp.
38187–38206.
conference:
end_date: 2024-07-27
location: Vienna, Austria
name: 'ICML: International Conference on Machine Learning'
start_date: 2024-07-21
corr_author: '1'
das_tickbox: '0'
date_created: 2024-09-22T22:01:44Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2026-10-01T09:34:36Z
day: '01'
department:
- _id: DaAl
- _id: GradSch
external_id:
arxiv:
- '2401.04679'
intvolume: ' 235'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2401.04679
month: '09'
oa: 1
oa_version: Preprint
page: 38187-38206
publication: Proceedings of the 41st International Conference on Machine Learning
publication_identifier:
eissn:
- 2640-3498
publication_status: published
publisher: ML Research Press
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/IST-DASLab/RoSA
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: no
title: 'RoSA: Accurate parameter-efficient fine-tuning via robust adaptation'
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 235
year: '2024'
...
---
_id: '17136'
abstract:
- lang: eng
text: "This paper focuses on Majority Dynamics in sparse graphs, in particular,
as a\r\ntool to study internal cuts. It is known that, in Majority Dynamics on
a finite\r\ngraph, each vertex eventually either comes to a fixed state, or oscillates
with\r\nperiod two. The empirical evidence acquired by simulations suggests that
for\r\nrandom odd-regular graphs, approximately half of the vertices end up\r\noscillating
with high probability. We notice a local symmetry between\r\noscillating and non-oscillating
vertices, that potentially can explain why the\r\nfraction of the oscillating
vertices is concentrated around $\\frac{1}{2}$. In\r\nour simulations, we observe
that the parts of random odd-regular graph under\r\nMajority Dynamics with high
probability do not contain $\\lceil \\frac{d}{2}\r\n\\rceil$-cores at any timestep,
and thus, one cannot use Majority Dynamics to\r\nprove that internal cuts exist
in odd-regular graphs almost surely. However, we\r\nsuggest a modification of
Majority Dynamics, that yields parts with desired\r\ncores with high probability."
acknowledgement: "I am grateful to Matthew Kwan for setting the problem, providing
useful literature,\r\nfruitful discussions, text review, mentorship, general encouragement
and support."
article_number: '2406.07026'
article_processing_charge: No
arxiv: 1
author:
- first_name: Pavel
full_name: Arkhipov, Pavel
id: b25f2ab2-1fed-11ee-8599-fe02d211784f
last_name: Arkhipov
citation:
ama: 'Arkhipov P. Majority dynamics and internal partitions of random regular graphs:
Experimental results. arXiv. doi:10.48550/arXiv.2406.07026'
apa: 'Arkhipov, P. (n.d.). Majority dynamics and internal partitions of random regular
graphs: Experimental results. arXiv. https://doi.org/10.48550/arXiv.2406.07026'
chicago: 'Arkhipov, Pavel. “Majority Dynamics and Internal Partitions of Random
Regular Graphs: Experimental Results.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2406.07026.'
ieee: 'P. Arkhipov, “Majority dynamics and internal partitions of random regular
graphs: Experimental results,” arXiv. .'
ista: 'Arkhipov P. Majority dynamics and internal partitions of random regular graphs:
Experimental results. arXiv, 2406.07026.'
mla: 'Arkhipov, Pavel. “Majority Dynamics and Internal Partitions of Random Regular
Graphs: Experimental Results.” ArXiv, 2406.07026, doi:10.48550/arXiv.2406.07026.'
short: P. Arkhipov, ArXiv (n.d.).
das_tickbox: '0'
date_created: 2024-06-12T07:01:52Z
date_published: 2024-06-11T00:00:00Z
date_updated: 2026-10-02T11:06:38Z
day: '11'
department:
- _id: GradSch
doi: 10.48550/arXiv.2406.07026
external_id:
arxiv:
- '2406.07026'
fulldoi: https://doi.org/10.48550/arXiv.2406.07026
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2406.07026
month: '06'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
researchdata_availability: yes
status: public
supplementarymaterial: no
title: 'Majority dynamics and internal partitions of random regular graphs: Experimental
results'
type: preprint
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
_id: '18174'
abstract:
- lang: eng
text: We investigate the phase ordering (pattern formation) of systems of two-dimensional
core–shell particles using Monte Carlo (MC) computer simulations and classical
density functional theory (DFT). The particles interact via a pair potential having
a hard core and a repulsive square shoulder. Our simulations show that on cooling,
the liquid state structure becomes increasingly characterized by long wavelength
density modulations and on further cooling forms a variety of other phases, including
clustered, striped, and other patterned phases. In DFT, the hard core part of
the potential is treated using either fundamental measure theory or a simple local
density approximation, whereas the soft shoulder is treated using the random phase
approximation. The different DFTs are benchmarked using large-scale grand-canonical-MC
and Gibbs-ensemble-MC simulations, demonstrating their predictive capabilities
and shortcomings. We find that having the liquid state static structure factor
S(k) for wavenumber k is sufficient to identify the Fourier modes governing both
the liquid and solid phases. This allows us to identify from easier-to-obtain
liquid state data the wavenumbers relevant to the periodic phases and to predict
roughly where in the phase diagram these patterned phases arise.
acknowledgement: The computational results presented here were enabled via a generous
share of CPU time, offered by the Vienna Scientific Cluster (VSC) under Project
No. 71263. The authors thank Ms. Katrin Muck for her guidance related to the use
of HPC. A.J.A. gratefully acknowledges support from the EPSRC under Grant No. EP/P015689/1.
article_number: '124503 '
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Michael
full_name: Wassermair, Michael
id: 23d132c4-4e98-11ef-b275-9e8d4cd8c917
last_name: Wassermair
orcid: 0009-0003-6339-4051
- first_name: Gerhard
full_name: Kahl, Gerhard
last_name: Kahl
- first_name: Roland
full_name: Roth, Roland
last_name: Roth
- first_name: Andrew J.
full_name: Archer, Andrew J.
last_name: Archer
citation:
ama: Wassermair M, Kahl G, Roth R, Archer AJ. Fingerprints of ordered self-assembled
structures in the liquid phase of a hard-core, square-shoulder system. The
Journal of chemical physics. 2024;161(12). doi:10.1063/5.0226954
apa: Wassermair, M., Kahl, G., Roth, R., & Archer, A. J. (2024). Fingerprints
of ordered self-assembled structures in the liquid phase of a hard-core, square-shoulder
system. The Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0226954
chicago: Wassermair, Michael, Gerhard Kahl, Roland Roth, and Andrew J. Archer. “Fingerprints
of Ordered Self-Assembled Structures in the Liquid Phase of a Hard-Core, Square-Shoulder
System.” The Journal of Chemical Physics. AIP Publishing, 2024. https://doi.org/10.1063/5.0226954.
ieee: M. Wassermair, G. Kahl, R. Roth, and A. J. Archer, “Fingerprints of ordered
self-assembled structures in the liquid phase of a hard-core, square-shoulder
system,” The Journal of chemical physics, vol. 161, no. 12. AIP Publishing,
2024.
ista: Wassermair M, Kahl G, Roth R, Archer AJ. 2024. Fingerprints of ordered self-assembled
structures in the liquid phase of a hard-core, square-shoulder system. The Journal
of chemical physics. 161(12), 124503.
mla: Wassermair, Michael, et al. “Fingerprints of Ordered Self-Assembled Structures
in the Liquid Phase of a Hard-Core, Square-Shoulder System.” The Journal of
Chemical Physics, vol. 161, no. 12, 124503, AIP Publishing, 2024, doi:10.1063/5.0226954.
short: M. Wassermair, G. Kahl, R. Roth, A.J. Archer, The Journal of Chemical Physics
161 (2024).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The data that support the findings of this study are available
from the corresponding author upon reasonable request.
date_created: 2024-10-06T22:01:12Z
date_published: 2024-09-28T00:00:00Z
date_updated: 2026-10-02T11:10:03Z
day: '28'
ddc:
- '530'
department:
- _id: GradSch
doi: 10.1063/5.0226954
external_id:
arxiv:
- '2409.06447'
isi:
- '001325268300004'
pmid:
- '39344889'
file:
- access_level: open_access
checksum: f3874e64ef94e94b2376f00a1fee24c3
content_type: application/pdf
creator: dernst
date_created: 2024-10-07T11:25:00Z
date_updated: 2024-10-07T11:25:00Z
file_id: '18185'
file_name: 2024_JourChemicalPhysics_Wassermair.pdf
file_size: 15009000
relation: main_file
success: 1
file_date_updated: 2024-10-07T11:25:00Z
fulldoi: https://doi.org/10.1063/5.0226954
has_accepted_license: '1'
intvolume: ' 161'
isi: 1
issue: '12'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
publication: The Journal of chemical physics
publication_identifier:
eissn:
- 1089-7690
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
researchdata_availability: upon request
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Fingerprints of ordered self-assembled structures in the liquid phase of a
hard-core, square-shoulder system
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 161
year: '2024'
...
---
_id: '14653'
abstract:
- lang: eng
text: 'Mass spectrometry imaging (MSI) is a powerful analytical technique for the
two-dimensional (2D) localization of chemicals on surfaces. Conventional MSI experiments
require to predefine the surface of interest based on photographic or microscopic
images. Typically, these boundaries can no longer be changed or adjusted once
the experiment has been started. In terms of a more interactive approach we recently
developed a pen-like ionization interface which is directly connected to the mass
spectrometer. The device allows the user to ionize chemicals by desorption electrospray
ionization (DESI) and to freely move the interface over a surface of interest.
A mini camera, which is mounted on the tip of the pen, magnifies the desorption
area and enables a simple positioning of the pen. The combination of optical data
from the camera module and chemical data obtained by mass analysis facilitates
a novel type of imaging experiment: interactive mass spectrometry imaging (IMSI).
For this application, we present a novel approach for a robust, optical flow-based
motion detection. While the live video stream from the camera is used to track
the pen''s motion across the surface a post-acquisition algorithm correlates the
coordinates of the pen trajectory with respective mass spectra obtained from a
simultaneous mass spectrometric data acquisition. This algorithm is no longer
dependent on a single, manually applied optical marker on the sample surface,
which has to be visible on all video frames throughout the analysis. The advanced
DESI-IMSI method was successfully tested on inkjet-printed letters as well as
mouse brain tissue samples. Validation of the results was done by comparing DESI-IMSI
with standard DESI-MSI data.'
acknowledgement: We would like to thank Marco Sealey Cardona, PhD for help with the
mouse brain samples and acknowledge the financial support by 1669 Förderkreis of
the University of Innsbruck, Austria Wirtschaftsservice (AWS), D. Swarovski KG and
Tyrolean Science Fund (TWF).
article_number: '117168'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Florian
full_name: Kluibenschedl, Florian
id: 7499e70e-eb2c-11ec-b98b-f925648bc9d9
last_name: Kluibenschedl
orcid: 0000-0003-4695-5526
- first_name: Anna
full_name: Ploner, Anna
last_name: Ploner
- first_name: Christina
full_name: Meisenbichler, Christina
last_name: Meisenbichler
- first_name: Robert
full_name: Konrat, Robert
last_name: Konrat
- first_name: Thomas
full_name: Müller, Thomas
last_name: Müller
citation:
ama: Kluibenschedl F, Ploner A, Meisenbichler C, Konrat R, Müller T. Advanced motion
tracking for interactive mass spectrometry imaging (IMSI). International Journal
of Mass Spectrometry. 2024;495. doi:10.1016/j.ijms.2023.117168
apa: Kluibenschedl, F., Ploner, A., Meisenbichler, C., Konrat, R., & Müller,
T. (2024). Advanced motion tracking for interactive mass spectrometry imaging
(IMSI). International Journal of Mass Spectrometry. Elsevier. https://doi.org/10.1016/j.ijms.2023.117168
chicago: Kluibenschedl, Florian, Anna Ploner, Christina Meisenbichler, Robert Konrat,
and Thomas Müller. “Advanced Motion Tracking for Interactive Mass Spectrometry
Imaging (IMSI).” International Journal of Mass Spectrometry. Elsevier,
2024. https://doi.org/10.1016/j.ijms.2023.117168.
ieee: F. Kluibenschedl, A. Ploner, C. Meisenbichler, R. Konrat, and T. Müller, “Advanced
motion tracking for interactive mass spectrometry imaging (IMSI),” International
Journal of Mass Spectrometry, vol. 495. Elsevier, 2024.
ista: Kluibenschedl F, Ploner A, Meisenbichler C, Konrat R, Müller T. 2024. Advanced
motion tracking for interactive mass spectrometry imaging (IMSI). International
Journal of Mass Spectrometry. 495, 117168.
mla: Kluibenschedl, Florian, et al. “Advanced Motion Tracking for Interactive Mass
Spectrometry Imaging (IMSI).” International Journal of Mass Spectrometry,
vol. 495, 117168, Elsevier, 2024, doi:10.1016/j.ijms.2023.117168.
short: F. Kluibenschedl, A. Ploner, C. Meisenbichler, R. Konrat, T. Müller, International
Journal of Mass Spectrometry 495 (2024).
das_tickbox: '1'
dataavailabilitystatement: Data will be made available on request.
date_created: 2023-12-10T23:00:57Z
date_published: 2024-01-01T00:00:00Z
date_updated: 2026-10-02T11:07:09Z
day: '01'
ddc:
- '540'
department:
- _id: GradSch
doi: 10.1016/j.ijms.2023.117168
external_id:
isi:
- '001125054400001'
file:
- access_level: open_access
checksum: 6c5eb6dc07af70a59251d2c6fed38894
content_type: application/pdf
creator: dernst
date_created: 2024-07-16T08:27:34Z
date_updated: 2024-07-16T08:27:34Z
file_id: '17256'
file_name: 2024_IJMS_Kluibenschedl.pdf
file_size: 3003139
relation: main_file
success: 1
file_date_updated: 2024-07-16T08:27:34Z
fulldoi: https://doi.org/10.1016/j.ijms.2023.117168
has_accepted_license: '1'
intvolume: ' 495'
isi: 1
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: International Journal of Mass Spectrometry
publication_identifier:
issn:
- 1387-3806
publication_status: published
publisher: Elsevier
quality_controlled: '1'
researchdata_availability: upon request
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Advanced motion tracking for interactive mass spectrometry imaging (IMSI)
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 495
year: '2024'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '15407'
abstract:
- lang: eng
text: We propose and implement a family of quantum-informed recursive optimization
(QIRO) algorithms for combinatorial optimization problems. Our approach leverages
quantum resources to obtain information that is used in problem-specific classical
reduction steps that recursively simplify the problem. These reduction steps address
the limitations of the quantum component (e.g., locality) and ensure solution
feasibility in constrained optimization problems. Additionally, we use backtracking
techniques to further improve the performance of the algorithm without increasing
the requirements on the quantum hardware. We showcase the capabilities of our
approach by informing QIRO with correlations from classical simulations of shallow
circuits of the quantum approximate optimization algorithm, solving instances
of maximum independent set and maximum satisfiability problems with hundreds of
variables. We also demonstrate how QIRO can be deployed on a neutral atom quantum
processor to find large independent sets of graphs. In summary, our scheme achieves
results comparable to classical heuristics even with relatively weak quantum resources.
Furthermore, enhancing the quality of these quantum resources improves the performance
of the algorithms. Notably, the modular nature of QIRO offers various avenues
for modifications, positioning our work as a template for a broader class of hybrid
quantum-classical algorithms for combinatorial optimization.
acknowledgement: J.R.F. and A.K. thank Libor Caha and Alexander Kliesch for insightful
discussions. The authors thank Lilly Palackal, Maximilian Passek, Carlos Riofrío,
and Gili Rosenberg for thorough reviews of the manuscript, and the Amazon Braket,
BMW, and QuEra teams for their support. C.M. thanks the Munich Quantum Valley initiative,
which is supported by the Bavarian State Government with funds from the Hightech
Agenda Bayern Plus. H.G.K. would like to thank Am Platzl 1A for providing the necessary
environment for creative thinking. An open-source implementation of QIRO is available
online [60].
article_number: '020327'
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Jernej Rudi
full_name: Finžgar, Jernej Rudi
last_name: Finžgar
- first_name: Aron
full_name: Kerschbaumer, Aron
id: ade85a9c-3200-11ee-973b-91c1eb240410
last_name: Kerschbaumer
orcid: 0009-0002-2370-8661
- first_name: Martin J.A.
full_name: Schuetz, Martin J.A.
last_name: Schuetz
- first_name: Christian B.
full_name: Mendl, Christian B.
last_name: Mendl
- first_name: Helmut G.
full_name: Katzgraber, Helmut G.
last_name: Katzgraber
citation:
ama: Finžgar JR, Kerschbaumer A, Schuetz MJA, Mendl CB, Katzgraber HG. Quantum-informed
recursive optimization algorithms. PRX Quantum. 2024;5(2). doi:10.1103/PRXQuantum.5.020327
apa: Finžgar, J. R., Kerschbaumer, A., Schuetz, M. J. A., Mendl, C. B., & Katzgraber,
H. G. (2024). Quantum-informed recursive optimization algorithms. PRX Quantum.
American Physical Society. https://doi.org/10.1103/PRXQuantum.5.020327
chicago: Finžgar, Jernej Rudi, Aron Kerschbaumer, Martin J.A. Schuetz, Christian
B. Mendl, and Helmut G. Katzgraber. “Quantum-Informed Recursive Optimization Algorithms.”
PRX Quantum. American Physical Society, 2024. https://doi.org/10.1103/PRXQuantum.5.020327.
ieee: J. R. Finžgar, A. Kerschbaumer, M. J. A. Schuetz, C. B. Mendl, and H. G. Katzgraber,
“Quantum-informed recursive optimization algorithms,” PRX Quantum, vol.
5, no. 2. American Physical Society, 2024.
ista: Finžgar JR, Kerschbaumer A, Schuetz MJA, Mendl CB, Katzgraber HG. 2024. Quantum-informed
recursive optimization algorithms. PRX Quantum. 5(2), 020327.
mla: Finžgar, Jernej Rudi, et al. “Quantum-Informed Recursive Optimization Algorithms.”
PRX Quantum, vol. 5, no. 2, 020327, American Physical Society, 2024, doi:10.1103/PRXQuantum.5.020327.
short: J.R. Finžgar, A. Kerschbaumer, M.J.A. Schuetz, C.B. Mendl, H.G. Katzgraber,
PRX Quantum 5 (2024).
corr_author: '1'
das_tickbox: '0'
date_created: 2024-05-19T22:01:13Z
date_published: 2024-05-01T00:00:00Z
date_updated: 2026-10-02T11:07:49Z
day: '01'
ddc:
- '530'
department:
- _id: GradSch
doi: 10.1103/PRXQuantum.5.020327
external_id:
arxiv:
- '2308.13607'
file:
- access_level: open_access
checksum: 76bdf0b4dc06d59d073a57bd6957a96c
content_type: application/pdf
creator: dernst
date_created: 2024-05-21T09:35:14Z
date_updated: 2024-05-21T09:35:14Z
file_id: '15409'
file_name: 2024_PRXQuantum_Finzgar.pdf
file_size: 2016085
relation: main_file
success: 1
file_date_updated: 2024-05-21T09:35:14Z
fulldoi: https://doi.org/10.1103/PRXQuantum.5.020327
has_accepted_license: '1'
intvolume: ' 5'
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
publication: PRX Quantum
publication_identifier:
eissn:
- 2691-3399
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Quantum-informed recursive optimization algorithms
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 5
year: '2024'
...
---
_id: '15360'
abstract:
- lang: eng
text: We investigate superradiant enhancements in the refrigeration performance
of a set of N three-level systems that are collectively coupled to a hot and a
cold thermal reservoir and are additionally subject to collective periodic (circular)
driving. Assuming the system-reservoir coupling to be weak, we explore the regime
of stronger periodic driving strengths by comparing collective weak driving, Floquet-Lindblad,
and Floquet-Redfield master equations. We identify regimes where the power injected
by the periodic driving is used to pump heat from the cold to the hot reservoir
and derive analytic sufficient conditions for them based on a cycle analysis of
the Floquet-Lindblad master equation. In those regimes, we also argue for which
parameters collective enhancements like a quadratic scaling of the cooling current
with N can be expected and support our arguments by numerical simulations.
acknowledgement: "Financial support by the DFG (project ID 278162697 – SFB 1242) is
gratefully acknowledged.\r\n"
article_number: '044050'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Dmytro
full_name: Kolisnyk, Dmytro
id: 530a7320-5355-11ee-ae5a-82a46997aaa7
last_name: Kolisnyk
orcid: 0000-0002-8612-8202
- first_name: Friedemann
full_name: Queißer, Friedemann
last_name: Queißer
- first_name: Gernot
full_name: Schaller, Gernot
last_name: Schaller
- first_name: Ralf
full_name: Schützhold, Ralf
last_name: Schützhold
citation:
ama: Kolisnyk D, Queißer F, Schaller G, Schützhold R. Floquet analysis of a superradiant
many-qutrit refrigerator. Physical Review Applied. 2024;21(4). doi:10.1103/PhysRevApplied.21.044050
apa: Kolisnyk, D., Queißer, F., Schaller, G., & Schützhold, R. (2024). Floquet
analysis of a superradiant many-qutrit refrigerator. Physical Review Applied.
American Physical Society. https://doi.org/10.1103/PhysRevApplied.21.044050
chicago: Kolisnyk, Dmytro, Friedemann Queißer, Gernot Schaller, and Ralf Schützhold.
“Floquet Analysis of a Superradiant Many-Qutrit Refrigerator.” Physical Review
Applied. American Physical Society, 2024. https://doi.org/10.1103/PhysRevApplied.21.044050.
ieee: D. Kolisnyk, F. Queißer, G. Schaller, and R. Schützhold, “Floquet analysis
of a superradiant many-qutrit refrigerator,” Physical Review Applied, vol.
21, no. 4. American Physical Society, 2024.
ista: Kolisnyk D, Queißer F, Schaller G, Schützhold R. 2024. Floquet analysis of
a superradiant many-qutrit refrigerator. Physical Review Applied. 21(4), 044050.
mla: Kolisnyk, Dmytro, et al. “Floquet Analysis of a Superradiant Many-Qutrit Refrigerator.”
Physical Review Applied, vol. 21, no. 4, 044050, American Physical Society,
2024, doi:10.1103/PhysRevApplied.21.044050.
short: D. Kolisnyk, F. Queißer, G. Schaller, R. Schützhold, Physical Review Applied
21 (2024).
das_tickbox: '0'
date_created: 2024-05-05T22:01:04Z
date_published: 2024-04-26T00:00:00Z
date_updated: 2026-10-02T11:07:26Z
day: '26'
department:
- _id: GradSch
doi: 10.1103/PhysRevApplied.21.044050
external_id:
arxiv:
- '2310.18126'
isi:
- '001226579400001'
fulldoi: https://doi.org/10.1103/PhysRevApplied.21.044050
intvolume: ' 21'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2310.18126
month: '04'
oa: 1
oa_version: Preprint
publication: Physical Review Applied
publication_identifier:
eissn:
- 2331-7019
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Floquet analysis of a superradiant many-qutrit refrigerator
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 21
year: '2024'
...
---
OA_type: closed access
_id: '18482'
abstract:
- lang: eng
text: "This paper is dedicated to an optimization problem. Let A, B ⊂ Rn be compact
convex sets. Consider the minimal number t0 > 0 such that t0B covers A after a
shift to a vector x0 ∈ \r\nRn. The goal is to find t0 and x0. In the special case
of B being a unit ball centered at zero, x0 and t0 are known as the Chebyshev
center and the Chebyshev radius of A. This paper focuses on the case in which
A and B are defined with their black-box support functions. An algorithm for solving
such problems efficiently is suggested. The algorithm has a superlinear convergence
rate, and it can solve hundred-dimensional test problems in a reasonable time,
but some additional conditions on A and B are required to guarantee the presence
of convergence. Additionally, the behavior of the algorithm for a simple special
case is investigated, which leads to a number of theoretical results. Perturbations
of this special case are also studied."
acknowledgement: The author is grateful to Maxim Balashov for setting the problem,
providing useful literature, important discussions and text review. Also, I thank
Dmitry Tsarev and Kseniia Petukhova for meaningful talks and support.
article_processing_charge: No
article_type: original
author:
- first_name: Pavel
full_name: Arkhipov, Pavel
id: b25f2ab2-1fed-11ee-8599-fe02d211784f
last_name: Arkhipov
citation:
ama: Arkhipov P. An algorithm for finding the generalized Chebyshev center of sets
defined via their support functions. Automation and Remote Control. 2024;85(6):522-532.
doi:10.1134/S0005117924060031
apa: Arkhipov, P. (2024). An algorithm for finding the generalized Chebyshev center
of sets defined via their support functions. Automation and Remote Control.
Springer Nature. https://doi.org/10.1134/S0005117924060031
chicago: Arkhipov, Pavel. “An Algorithm for Finding the Generalized Chebyshev Center
of Sets Defined via Their Support Functions.” Automation and Remote Control.
Springer Nature, 2024. https://doi.org/10.1134/S0005117924060031.
ieee: P. Arkhipov, “An algorithm for finding the generalized Chebyshev center of
sets defined via their support functions,” Automation and Remote Control,
vol. 85, no. 6. Springer Nature, pp. 522–532, 2024.
ista: Arkhipov P. 2024. An algorithm for finding the generalized Chebyshev center
of sets defined via their support functions. Automation and Remote Control. 85(6),
522–532.
mla: Arkhipov, Pavel. “An Algorithm for Finding the Generalized Chebyshev Center
of Sets Defined via Their Support Functions.” Automation and Remote Control,
vol. 85, no. 6, Springer Nature, 2024, pp. 522–32, doi:10.1134/S0005117924060031.
short: P. Arkhipov, Automation and Remote Control 85 (2024) 522–532.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-10-27T23:01:45Z
date_published: 2024-06-01T00:00:00Z
date_updated: 2026-10-02T11:10:45Z
day: '01'
department:
- _id: GradSch
doi: 10.1134/S0005117924060031
external_id:
isi:
- '001338721700007'
fulldoi: https://doi.org/10.1134/S0005117924060031
intvolume: ' 85'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa_version: None
page: 522-532
publication: Automation and Remote Control
publication_identifier:
eissn:
- 1608-3032
issn:
- 0005-1179
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: An algorithm for finding the generalized Chebyshev center of sets defined via
their support functions
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 85
year: '2024'
...
---
OA_type: closed access
_id: '18450'
abstract:
- lang: eng
text: In this work we present the engineering of a portable platform for sensing
SERS signals in droplets microfluidics. This system comprised not only the read-out
platform but also a design for the microfluidic devices optimized to enhanced
the obtained SERS signals.
acknowledgement: The authors acknowledge the financial support of the project HfPT
– Health from Portugal, with the reference n.° C644937233-00000047, co-funded by
Component C5 – Capitalisation and Business Innovation under the Portuguese Resilience
and Recovery Plan, through the NextGenerationEU Fund.
article_processing_charge: No
author:
- first_name: Sergio
full_name: Quintero, Sergio
last_name: Quintero
- first_name: Maria
full_name: Relvas, Maria
last_name: Relvas
- first_name: Marta
full_name: Aranda, Marta
last_name: Aranda
- first_name: Fernando
full_name: Nodal, Fernando
id: 8ad43d5a-1ffe-11ee-8b67-8176f59de781
last_name: Nodal
orcid: 0009-0006-4119-4376
- first_name: Lorena
full_name: Dieguez, Lorena
last_name: Dieguez
- first_name: Sara
full_name: Abalde-Cela, Sara
last_name: Abalde-Cela
citation:
ama: 'Quintero S, Relvas M, Aranda M, Nodal F, Dieguez L, Abalde-Cela S. Portable
Raman platform for SERS droplets microfludics. In: 2024 International Conference
on Optical MEMS and Nanophotonics. IEEE; 2024. doi:10.1109/OMN61224.2024.10685279'
apa: 'Quintero, S., Relvas, M., Aranda, M., Nodal, F., Dieguez, L., & Abalde-Cela,
S. (2024). Portable Raman platform for SERS droplets microfludics. In 2024
International Conference on Optical MEMS and Nanophotonics. San Sebastian,
Spain: IEEE. https://doi.org/10.1109/OMN61224.2024.10685279'
chicago: Quintero, Sergio, Maria Relvas, Marta Aranda, Fernando Nodal, Lorena Dieguez,
and Sara Abalde-Cela. “Portable Raman Platform for SERS Droplets Microfludics.”
In 2024 International Conference on Optical MEMS and Nanophotonics. IEEE,
2024. https://doi.org/10.1109/OMN61224.2024.10685279.
ieee: S. Quintero, M. Relvas, M. Aranda, F. Nodal, L. Dieguez, and S. Abalde-Cela,
“Portable Raman platform for SERS droplets microfludics,” in 2024 International
Conference on Optical MEMS and Nanophotonics, San Sebastian, Spain, 2024.
ista: 'Quintero S, Relvas M, Aranda M, Nodal F, Dieguez L, Abalde-Cela S. 2024.
Portable Raman platform for SERS droplets microfludics. 2024 International Conference
on Optical MEMS and Nanophotonics. OMN: Conference on Optical MEMS and Nanophotonics.'
mla: Quintero, Sergio, et al. “Portable Raman Platform for SERS Droplets Microfludics.”
2024 International Conference on Optical MEMS and Nanophotonics, IEEE,
2024, doi:10.1109/OMN61224.2024.10685279.
short: S. Quintero, M. Relvas, M. Aranda, F. Nodal, L. Dieguez, S. Abalde-Cela,
in:, 2024 International Conference on Optical MEMS and Nanophotonics, IEEE, 2024.
conference:
end_date: 2024-08-01
location: San Sebastian, Spain
name: 'OMN: Conference on Optical MEMS and Nanophotonics'
start_date: 2024-07-28
das_tickbox: '0'
date_created: 2024-10-20T22:02:07Z
date_published: 2024-09-27T00:00:00Z
date_updated: 2026-10-02T11:10:28Z
day: '27'
department:
- _id: GradSch
doi: 10.1109/OMN61224.2024.10685279
external_id:
isi:
- '001327768000060'
fulldoi: https://doi.org/10.1109/OMN61224.2024.10685279
isi: 1
language:
- iso: eng
month: '09'
oa_version: None
publication: 2024 International Conference on Optical MEMS and Nanophotonics
publication_identifier:
eissn:
- 2160-5041
isbn:
- '9798350384925'
issn:
- 2160-5033
publication_status: published
publisher: IEEE
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: no
title: Portable Raman platform for SERS droplets microfludics
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: publisher
_id: '18588'
abstract:
- lang: eng
text: "This thesis is an experimental work about two distinct research projects
that evolved from a single project: non-equilibrium dynamics of an acoustically
vibrated particle and microfabrication of particles with nano-scale 3D printing.
The first project explores non equilibrium dynamics of a particle driven by ultrasonic
vibrations. We design an experimental system consisting of an electromechanical
vibration scheme to drive the particle’s vibrations and an imaging scheme to track
its trajectories. We study the trajectories to determine how the particle’s dynamics
evolve under the driven conditions, considering out of equilibrium systems in
the context of equilibrium statistical mechanics. Using a Langevin framework and
the Boltzmann factor, we characterize the particle’s dynamics as complex; the
particle motion\r\nis not purely diffusive. We extract physical parameters like
spring constant, effective temperature, damping coefficient and resonance frequency.\r\n\r\nIn
the second project, we explore and develop techniques in the design and microfabrication
of particles across scales. Microfabrication involves building structures at the
micron or submicron scale. These designed miniaturized patterns, objects, or devices
are useful in biophysics, pharmacology, medical biology, and nanotechnology. We
specifically apply two-photon polymerization, a form of 3D nano printing. We print
millimetric particles, characterizing different designs to evaluate and showcase
the resolution, aspect ratio integrity and print quality of the printing process.
We also design and fabricate a microsensor to deflect under applicable force of
order 0.1 pN. We present fundamental concepts needed to design the microsensor,
showcasing 3D printing at considerably smaller scales down to the µm or below."
acknowledged_ssus:
- _id: NanoFab
- _id: M-Shop
acknowledgement: "I would like to acknowledge Scott Waitukaitis and Jérémie Palacci,
for their supervision, and their extensive support of my learning. \r\n\r\nFor the
beautiful characterization images used in this work, I would like to thank Dr. Daniel
Grober, Samuel Hajek and Felix Pertl.\r\n\r\nThe Palacci group, particularly Malina
Strugaru and Dan Grober, for their continuous guidance in decoding and following
my streams of thought.\r\n\r\nTo the Waitukaitis group, for helping me find my footing
in science, and making me feel at\r\nhome.\r\n\r\nTo the Nanofabrication Facility
(NFF) at ISTA, for training me in significant aspects of my research. The MIBA Facility,
and particularly Todor Asenov for consistently picking up the phone for my machining
and designing needs.\r\n\r\nTo my friends, Mariana, Lenka, Aaron, Rebecca, Eavan
who provided an ear, wine, and a lot more when I needed to vent, talk through my
crises as well as experiment. For the walks, for the coffees, for reading through
my work and providing edits, for dinners to take me out of blocks and binds and
for cheering me on when it felt insurmountable. \r\n\r\nFinally, I am grateful to
Griff and Fletcher, whose music helped me through several blocks, especially with
my writing.\r\n\r\nMy science would not have been possible without the guidance,
support and contributions of\r\nall these people, and more."
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Cecelia N
full_name: Mweka, Cecelia N
id: 2a69ab4b-896a-11ed-bdf8-cb8641cf2b21
last_name: Mweka
citation:
ama: Mweka CN. Non equilibrium dynamics of driven individual particles and 3D printing
across scales. 2024. doi:10.15479/at:ista:18588
apa: Mweka, C. N. (2024). Non equilibrium dynamics of driven individual particles
and 3D printing across scales. Institute of Science and Technology Austria.
https://doi.org/10.15479/at:ista:18588
chicago: Mweka, Cecelia N. “Non Equilibrium Dynamics of Driven Individual Particles
and 3D Printing across Scales.” Institute of Science and Technology Austria, 2024.
https://doi.org/10.15479/at:ista:18588.
ieee: C. N. Mweka, “Non equilibrium dynamics of driven individual particles and
3D printing across scales,” Institute of Science and Technology Austria, 2024.
ista: Mweka CN. 2024. Non equilibrium dynamics of driven individual particles and
3D printing across scales. Institute of Science and Technology Austria.
mla: Mweka, Cecelia N. Non Equilibrium Dynamics of Driven Individual Particles
and 3D Printing across Scales. Institute of Science and Technology Austria,
2024, doi:10.15479/at:ista:18588.
short: C.N. Mweka, Non Equilibrium Dynamics of Driven Individual Particles and 3D
Printing across Scales, Institute of Science and Technology Austria, 2024.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-11-27T09:12:02Z
date_published: 2024-11-29T00:00:00Z
date_updated: 2026-10-02T11:11:44Z
day: '29'
ddc:
- '530'
degree_awarded: MS
department:
- _id: GradSch
doi: 10.15479/at:ista:18588
doi_confirm: '1'
file:
- access_level: open_access
checksum: 054ed7a5e5ae6e7220e6bb37ea57a3c3
content_type: application/pdf
creator: cmweka
date_created: 2024-11-28T12:50:32Z
date_updated: 2024-11-28T12:50:32Z
file_id: '18597'
file_name: Cecelia Mweka Master Thesis.pdf
file_size: 3836671
relation: main_file
success: 1
- access_level: closed
checksum: 7d7d9299f090d83e628d65d93116e8c2
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: cmweka
date_created: 2024-11-28T12:51:43Z
date_updated: 2024-12-13T11:30:53Z
file_id: '18598'
file_name: Cecelia Mweka Master Thesis.docx
file_size: 7068210
relation: source_file
file_date_updated: 2024-12-13T11:30:53Z
fulldoi: https://doi.org/10.15479/at:ista:18588
has_accepted_license: '1'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: '61'
publication_identifier:
issn:
- 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
researchdata_availability: no
status: public
supervisor:
- first_name: Scott R
full_name: Waitukaitis, Scott R
id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87
last_name: Waitukaitis
orcid: 0000-0002-2299-3176
- first_name: Jérémie A
full_name: Palacci, Jérémie A
id: 8fb92548-2b22-11eb-b7c1-a3f0d08d7c7d
last_name: Palacci
orcid: 0000-0002-7253-9465
supplementarymaterial: no
title: Non equilibrium dynamics of driven individual particles and 3D printing across
scales
type: dissertation
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
_id: '14705'
abstract:
- lang: eng
text: Since the commercialization of brine shrimp (genus Artemia) in the 1950s,
this lineage, and in particular the model species Artemia franciscana, has been
the subject of extensive research. However, our understanding of the genetic mechanisms
underlying various aspects of their reproductive biology, including sex determination,
are still lacking. This is partly due to the scarcity of genomic resources for
Artemia species and crustaceans in general. Here, we present a chromosome-level
genome assembly of Artemia franciscana (Kellogg 1906), from the Great Salt Lake,
USA. The genome is 1GB, and the majority of the genome (81%) is scaffolded into
21 linkage groups using a previously published high-density linkage map. We performed
coverage and FST analyses using male and female genomic and transcriptomic reads
to quantify the extent of differentiation between the Z and W chromosomes. Additionally,
we quantified the expression levels in male and female heads and gonads and found
further evidence for dosage compensation in this species.
article_processing_charge: No
author:
- first_name: Marwan N
full_name: Elkrewi, Marwan N
id: 0B46FACA-A8E1-11E9-9BD3-79D1E5697425
last_name: Elkrewi
orcid: 0000-0002-5328-7231
citation:
ama: Elkrewi MN. Data from “Chromosome-level assembly of Artemia franciscana sheds
light on sex-chromosome differentiation.” 2024. doi:10.15479/AT:ISTA:14705
apa: Elkrewi, M. N. (2024). Data from “Chromosome-level assembly of Artemia franciscana
sheds light on sex-chromosome differentiation.” Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:14705
chicago: Elkrewi, Marwan N. “Data from ‘Chromosome-Level Assembly of Artemia Franciscana
Sheds Light on Sex-Chromosome Differentiation.’” Institute of Science and Technology
Austria, 2024. https://doi.org/10.15479/AT:ISTA:14705.
ieee: M. N. Elkrewi, “Data from ‘Chromosome-level assembly of Artemia franciscana
sheds light on sex-chromosome differentiation.’” Institute of Science and Technology
Austria, 2024.
ista: Elkrewi MN. 2024. Data from ‘Chromosome-level assembly of Artemia franciscana
sheds light on sex-chromosome differentiation’, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:14705.
mla: Elkrewi, Marwan N. Data from “Chromosome-Level Assembly of Artemia Franciscana
Sheds Light on Sex-Chromosome Differentiation.” Institute of Science and Technology
Austria, 2024, doi:10.15479/AT:ISTA:14705.
short: M.N. Elkrewi, (2024).
contributor:
- contributor_type: researcher
first_name: Vincent K
id: 57854184-AAE0-11E9-8D04-98D6E5697425
last_name: Bett
- contributor_type: project_member
first_name: Ariana
id: 2A0848E2-F248-11E8-B48F-1D18A9856A87
last_name: Macon
- contributor_type: supervisor
first_name: Beatriz
id: 49E1C5C6-F248-11E8-B48F-1D18A9856A87
last_name: Vicoso
orcid: 0000-0002-4579-8306
- contributor_type: researcher
first_name: Marwan N
id: 0B46FACA-A8E1-11E9-9BD3-79D1E5697425
last_name: Elkrewi
orcid: 0000-0002-5328-7231
corr_author: '1'
date_created: 2023-12-22T13:40:48Z
date_published: 2024-01-02T00:00:00Z
date_updated: 2026-10-02T11:13:43Z
day: '02'
ddc:
- '576'
department:
- _id: GradSch
- _id: BeVi
doi: 10.15479/AT:ISTA:14705
doi_confirm: '1'
file:
- access_level: open_access
checksum: bdaf1392867786634ec5466d528c36ca
content_type: text/plain
creator: melkrewi
date_created: 2023-12-22T13:54:21Z
date_updated: 2023-12-22T13:54:21Z
file_id: '14707'
file_name: readme.txt.txt
file_size: 847
relation: main_file
success: 1
- access_level: open_access
checksum: 973e1cbdab923a71709782177980829f
content_type: application/x-zip-compressed
creator: melkrewi
date_created: 2023-12-22T14:14:06Z
date_updated: 2023-12-22T14:14:06Z
file_id: '14708'
file_name: data_artemia_franciscana_genome.zip
file_size: 343632753
relation: main_file
success: 1
file_date_updated: 2023-12-22T14:14:06Z
fulldoi: https://doi.org/10.15479/AT:ISTA:14705
has_accepted_license: '1'
keyword:
- sex chromosome evolution
- genome assembly
- dosage compensation
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 34ae1506-11ca-11ed-8bc3-c14f4c474396
grant_number: F8810
name: The highjacking of meiosis for asexual reproduction
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '15009'
relation: used_in_publication
status: public
status: public
title: Data from "Chromosome-level assembly of Artemia franciscana sheds light on
sex-chromosome differentiation"
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: publisher
OA_type: gold
_id: '18875'
abstract:
- lang: eng
text: Current state-of-the-art methods for differentially private model training
are based on matrix factorization techniques. However, these methods suffer from
high computational overhead because they require numerically solving a demanding
optimization problem to determine an approximately optimal factorization prior
to the actual model training. In this work, we present a new matrix factorization
approach, BSR, which overcomes this computational bottleneck. By exploiting properties
of the standard matrix square root, BSR allows to efficiently handle also large-scale
problems. For the key scenario of stochastic gradient descent with momentum and
weight decay, we even derive analytical expressions for BSR that render the computational
overhead negligible. We prove bounds on the approximation quality that hold both
in the centralized and in the federated learning setting. Our numerical experiments
demonstrate that models trained using BSR perform on par with the best existing
methods, while completely avoiding their computational overhead.
alternative_title:
- Advances in Neural Information Processing Systems
article_processing_charge: No
arxiv: 1
author:
- first_name: Nikita
full_name: Kalinin, Nikita
id: 4b14526e-14d2-11ed-ba64-c14c9553d137
last_name: Kalinin
- 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, Lampert C. Banded square root matrix factorization for differentially
private model training. In: 38th Annual Conference on Neural Information Processing
Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.'
apa: 'Kalinin, N., & Lampert, C. (2024). Banded square root matrix factorization
for differentially private model training. In 38th Annual Conference on Neural
Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information
Processing Systems Foundation.'
chicago: Kalinin, Nikita, and Christoph Lampert. “Banded Square Root Matrix Factorization
for Differentially Private Model Training.” In 38th Annual Conference on Neural
Information Processing Systems, Vol. 37. Neural Information Processing Systems
Foundation, 2024.
ieee: N. Kalinin and C. Lampert, “Banded square root matrix factorization for differentially
private model training,” in 38th Annual Conference on Neural Information Processing
Systems, Vancouver, Canada, 2024, vol. 37.
ista: 'Kalinin N, Lampert C. 2024. Banded square root matrix factorization for differentially
private model training. 38th Annual Conference on Neural Information Processing
Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information
Processing Systems, vol. 37.'
mla: Kalinin, Nikita, and Christoph Lampert. “Banded Square Root Matrix Factorization
for Differentially Private Model Training.” 38th Annual Conference on Neural
Information Processing Systems, vol. 37, Neural Information Processing Systems
Foundation, 2024.
short: N. Kalinin, C. Lampert, in:, 38th Annual Conference on Neural Information
Processing Systems, Neural Information Processing Systems Foundation, 2024.
conference:
end_date: 2024-12-16
location: Vancouver, Canada
name: 'NeurIPS: Neural Information Processing Systems'
start_date: 2024-12-16
corr_author: '1'
das_tickbox: '0'
date_created: 2025-01-24T17:58:16Z
date_published: 2024-12-01T00:00:00Z
date_updated: 2026-10-02T11:15:17Z
day: '01'
ddc:
- '000'
department:
- _id: GradSch
- _id: ChLa
external_id:
arxiv:
- '2405.13763'
file:
- access_level: open_access
checksum: a216cab8eddc1fe7840aede0e2c0d41e
content_type: application/pdf
creator: dernst
date_created: 2025-01-27T09:52:15Z
date_updated: 2025-01-27T09:52:15Z
file_id: '18888'
file_name: 2024_NeurIPS_Nikita.pdf
file_size: 1144656
relation: main_file
success: 1
file_date_updated: 2025-01-27T09:52:15Z
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intvolume: ' 37'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: 38th Annual Conference on Neural Information Processing Systems
publication_identifier:
eissn:
- 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: Banded square root matrix factorization for differentially private model training
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: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 37
year: '2024'
...
---
_id: '17214'
abstract:
- lang: eng
text: 'Current numerical algorithms for simulating friction fall in one of two camps:
smooth solvers sacrifice the stable treatment of static friction in exchange for
fast convergence, and non-smooth solvers accurately compute friction at convergence
rates that are often prohibitive for large graphics applications. We introduce
a novel bridge between these two ideas that computes static and dynamic friction
stably and efficiently. Our key idea is to convert the highly constrained non-smooth
problem into an unconstrained smooth problem using logarithmic barriers that converges
to the exact solution as accuracy increases. We phrase the problem as an interior
point primal-dual problem that can be solved efficiently with Newton iteration.
We observe quadratic convergence despite the non-smooth nature of the original
problem, and our method is well-suited for large systems of tightly packed objects
with many contact points. We demonstrate the efficacy of our method with stable
piles of grains and stacks of objects, complex granular flows, and robust interlocking
assemblies of rigid bodies.'
acknowledgement: We thank Vincent Acary for his help with Siconos, as well as the
anonymous reviewers and the members of the Visual Computing Group at ISTA for their
helpful comments. This research was funded in part by the European Union (ERC-2021-COG
101045083 CoDiNA).
article_processing_charge: Yes (via OA deal)
author:
- first_name: Yi-Lu
full_name: Chen, Yi-Lu
id: 0b467602-dbcd-11ea-9d1d-ed480aa46b70
last_name: Chen
orcid: 0009-0005-0723-0655
- first_name: Mickaël
full_name: Ly, Mickaël
id: 6340d7f0-b48d-11eb-b10d-b7487e71d9f1
last_name: Ly
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: 'Chen Y-L, Ly M, Wojtan C. Primal-dual non-smooth friction for rigid body animation.
In: Special Interest Group on Computer Graphics and Interactive Techniques
Conference Conference Papers ’24. Association for Computing Machinery; 2024.
doi:10.1145/3641519.3657485'
apa: 'Chen, Y.-L., Ly, M., & Wojtan, C. (2024). Primal-dual non-smooth friction
for rigid body animation. In Special Interest Group on Computer Graphics and
Interactive Techniques Conference Conference Papers ’24. Denver, United States:
Association for Computing Machinery. https://doi.org/10.1145/3641519.3657485'
chicago: Chen, Yi-Lu, Mickaël Ly, and Chris Wojtan. “Primal-Dual Non-Smooth Friction
for Rigid Body Animation.” In Special Interest Group on Computer Graphics and
Interactive Techniques Conference Conference Papers ’24. Association for Computing
Machinery, 2024. https://doi.org/10.1145/3641519.3657485.
ieee: Y.-L. Chen, M. Ly, and C. Wojtan, “Primal-dual non-smooth friction for rigid
body animation,” in Special Interest Group on Computer Graphics and Interactive
Techniques Conference Conference Papers ’24, Denver, United States, 2024.
ista: 'Chen Y-L, Ly M, Wojtan C. 2024. Primal-dual non-smooth friction for rigid
body animation. Special Interest Group on Computer Graphics and Interactive Techniques
Conference Conference Papers ’24. SIGGRAPH: Computer Graphics and Interactive
Techniques Conference.'
mla: Chen, Yi-Lu, et al. “Primal-Dual Non-Smooth Friction for Rigid Body Animation.”
Special Interest Group on Computer Graphics and Interactive Techniques Conference
Conference Papers ’24, Association for Computing Machinery, 2024, doi:10.1145/3641519.3657485.
short: Y.-L. Chen, M. Ly, C. Wojtan, in:, Special Interest Group on Computer Graphics
and Interactive Techniques Conference Conference Papers ’24, Association for Computing
Machinery, 2024.
conference:
end_date: 2024-08-01
location: Denver, United States
name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
start_date: 2024-07-28
corr_author: '1'
das_tickbox: '0'
date_created: 2024-07-10T11:06:20Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2026-10-02T11:16:26Z
day: '01'
ddc:
- '621'
- '531'
- '006'
department:
- _id: GradSch
- _id: ChWo
doi: 10.1145/3641519.3657485
external_id:
isi:
- '001282218200091'
file:
- access_level: open_access
checksum: b8b203ed09e3995ba0d7e6a76288663a
content_type: application/pdf
creator: yichen
date_created: 2024-07-10T11:03:14Z
date_updated: 2024-07-10T11:03:14Z
file_id: '17215'
file_name: sig24_friction_authors.pdf
file_size: 47309472
relation: main_file
success: 1
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content_type: application/pdf
creator: yichen
date_created: 2024-07-10T11:03:12Z
date_updated: 2024-07-10T11:03:12Z
file_id: '17216'
file_name: sig24_friction_supplementary.pdf
file_size: 10518286
relation: main_file
success: 1
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checksum: 7123deed34a5456810e7b5336a31c657
content_type: video/mp4
creator: yichen
date_created: 2024-07-10T11:03:51Z
date_updated: 2024-07-10T11:03:51Z
file_id: '17217'
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file_size: 71789192
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content_type: video/mp4
creator: yichen
date_created: 2024-07-10T11:03:58Z
date_updated: 2024-07-10T11:03:58Z
file_id: '17218'
file_name: friction_paper_video_finished.mp4
file_size: 280610763
relation: main_file
success: 1
file_date_updated: 2024-07-10T11:03:58Z
fulldoi: https://doi.org/10.1145/3641519.3657485
has_accepted_license: '1'
isi: 1
keyword:
- physical simulation
- frictional contact
- rigid body mechanics
- non-smooth dynamics
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
grant_number: '101045083'
name: Computational Discovery of Numerical Algorithms for Animation and Simulation
of Natural Phenomena
publication: Special Interest Group on Computer Graphics and Interactive Techniques
Conference Conference Papers '24
publication_identifier:
isbn:
- '9798400705250'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Primal-dual non-smooth friction for rigid body animation
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: repository
OA_type: green
_id: '17426'
abstract:
- lang: eng
text: "The robustness of neural networks against input perturbations with bounded\r\nmagnitude
represents a serious concern in the deployment of deep learning\r\nmodels in safety-critical
systems. Recently, the scientific community has\r\nfocused on enhancing certifiable
robustness guarantees by crafting 1-Lipschitz\r\nneural networks that leverage
Lipschitz bounded dense and convolutional layers.\r\nAlthough different methods
have been proposed in the literature to achieve this\r\ngoal, understanding the
performance of such methods is not straightforward,\r\nsince different metrics
can be relevant (e.g., training time, memory usage,\r\naccuracy, certifiable robustness)
for different applications. For this reason,\r\nthis work provides a thorough
theoretical and empirical comparison between\r\nmethods by evaluating them in
terms of memory usage, speed, and certifiable\r\nrobust accuracy. The paper also
provides some guidelines and recommendations to\r\nsupport the user in selecting
the methods that work best depending on the\r\navailable resources. We provide
code at\r\nhttps://github.com/berndprach/1LipschitzLayersCompared."
acknowledgement: "This work was partially supported by project SERICS (PE00000014)
under the MUR National Recovery and Resilience Plan funded by the European Union
- NextGenerationEU.\r\n"
article_processing_charge: No
arxiv: 1
author:
- first_name: Bernd
full_name: Prach, Bernd
id: 2D561D42-C427-11E9-89B4-9C1AE6697425
last_name: Prach
- first_name: Fabio
full_name: Brau, Fabio
last_name: Brau
- first_name: Giorgio
full_name: Buttazzo, Giorgio
last_name: Buttazzo
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Prach B, Brau F, Buttazzo G, Lampert C. 1-Lipschitz layers compared: Memory,
speed, and certifiable robustness. In: Proceedings of the IEEE/CVF Conference
on Computer Vision and Pattern Recognition. Computer Vision Foundation; 2024:24574-24583.
doi:10.1109/CVPR52733.2024.02320'
apa: 'Prach, B., Brau, F., Buttazzo, G., & Lampert, C. (2024). 1-Lipschitz layers
compared: Memory, speed, and certifiable robustness. In Proceedings of the
IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 24574–24583).
Seattle, WA, United States: Computer Vision Foundation. https://doi.org/10.1109/CVPR52733.2024.02320'
chicago: 'Prach, Bernd, Fabio Brau, Giorgio Buttazzo, and Christoph Lampert. “1-Lipschitz
Layers Compared: Memory, Speed, and Certifiable Robustness.” In Proceedings
of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 24574–83.
Computer Vision Foundation, 2024. https://doi.org/10.1109/CVPR52733.2024.02320.'
ieee: 'B. Prach, F. Brau, G. Buttazzo, and C. Lampert, “1-Lipschitz layers compared:
Memory, speed, and certifiable robustness,” in Proceedings of the IEEE/CVF
Conference on Computer Vision and Pattern Recognition, Seattle, WA, United
States, 2024, pp. 24574–24583.'
ista: 'Prach B, Brau F, Buttazzo G, Lampert C. 2024. 1-Lipschitz layers compared:
Memory, speed, and certifiable robustness. Proceedings of the IEEE/CVF Conference
on Computer Vision and Pattern Recognition. CVPR: Conference on Computer Vision
and Pattern Recognition, 24574–24583.'
mla: 'Prach, Bernd, et al. “1-Lipschitz Layers Compared: Memory, Speed, and Certifiable
Robustness.” Proceedings of the IEEE/CVF Conference on Computer Vision and
Pattern Recognition, Computer Vision Foundation, 2024, pp. 24574–83, doi:10.1109/CVPR52733.2024.02320.'
short: B. Prach, F. Brau, G. Buttazzo, C. Lampert, in:, Proceedings of the IEEE/CVF
Conference on Computer Vision and Pattern Recognition, Computer Vision Foundation,
2024, pp. 24574–24583.
conference:
end_date: 2024-06-22
location: Seattle, WA, United States
name: 'CVPR: Conference on Computer Vision and Pattern Recognition'
start_date: 2024-06-16
corr_author: '1'
das_tickbox: '0'
date_created: 2024-08-14T08:42:32Z
date_published: 2024-06-01T00:00:00Z
date_updated: 2026-10-02T11:16:04Z
day: '01'
department:
- _id: GradSch
- _id: ChLa
doi: 10.1109/CVPR52733.2024.02320
external_id:
arxiv:
- '2311.16833'
isi:
- '001344387500055'
fulldoi: https://doi.org/10.1109/CVPR52733.2024.02320
has_accepted_license: '1'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2311.16833
month: '06'
oa: 1
oa_version: Preprint
page: 24574-24583
publication: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
Recognition
publication_status: published
publisher: Computer Vision Foundation
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/berndprach/1LipschitzLayersCompared
record:
- id: '19759'
relation: dissertation_contains
status: public
researchdata_availability: no
status: public
supplementarymaterial: no
title: '1-Lipschitz layers compared: Memory, speed, and certifiable robustness'
type: conference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: repository
_id: '18874'
abstract:
- lang: eng
text: "Despite extensive research since the community learned about adversarial\r\nexamples
10 years ago, we still do not know how to train high-accuracy\r\nclassifiers that
are guaranteed to be robust to small perturbations of their\r\ninputs. Previous
works often argued that this might be because no classifier\r\nexists that is
robust and accurate at the same time. However, in computer\r\nvision this assumption
does not match reality where humans are usually accurate\r\nand robust on most
tasks of interest. We offer an alternative explanation and\r\nshow that in certain
settings robust generalization is only possible with\r\nunrealistically large
amounts of data. More precisely we find a setting where a\r\nrobust classifier
exists, it is easy to learn an accurate classifier, yet it\r\nrequires an exponential
amount of data to learn a robust classifier. Based on\r\nthis theoretical result,
we explore how well robust classifiers generalize on\r\ndatasets such as CIFAR-10.
We come to the conclusion that on this datasets, the\r\nlimitation of current
robust models also lies in the generalization, and that\r\nthey require a lot
of data to do well on the test set. We also show that the\r\nproblem is not in
the expressiveness or generalization capabilities of current\r\narchitectures,
and that there are low magnitude features in the data which are\r\nuseful for
non-robust generalization but are not available for robust\r\nclassifiers."
article_number: '2412.04245'
article_processing_charge: No
arxiv: 1
author:
- first_name: Bernd
full_name: Prach, Bernd
id: 2D561D42-C427-11E9-89B4-9C1AE6697425
last_name: Prach
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: Prach B, Lampert C. Intriguing properties of robust classification. arXiv.
doi:10.48550/arXiv.2412.04245
apa: Prach, B., & Lampert, C. (n.d.). Intriguing properties of robust classification.
arXiv. https://doi.org/10.48550/arXiv.2412.04245
chicago: Prach, Bernd, and Christoph Lampert. “Intriguing Properties of Robust Classification.”
ArXiv, n.d. https://doi.org/10.48550/arXiv.2412.04245.
ieee: B. Prach and C. Lampert, “Intriguing properties of robust classification,”
arXiv. .
ista: Prach B, Lampert C. Intriguing properties of robust classification. arXiv,
2412.04245.
mla: Prach, Bernd, and Christoph Lampert. “Intriguing Properties of Robust Classification.”
ArXiv, 2412.04245, doi:10.48550/arXiv.2412.04245.
short: B. Prach, C. Lampert, ArXiv (n.d.).
corr_author: '1'
das_tickbox: '0'
date_created: 2025-01-24T16:57:29Z
date_published: 2024-12-05T00:00:00Z
date_updated: 2026-10-02T11:15:43Z
day: '05'
department:
- _id: GradSch
- _id: ChLa
doi: 10.48550/arXiv.2412.04245
external_id:
arxiv:
- '2412.04245'
fulldoi: https://doi.org/10.48550/arXiv.2412.04245
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2412.04245
month: '12'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: draft
related_material:
record:
- id: '20455'
relation: later_version
status: public
- id: '19759'
relation: dissertation_contains
status: public
researchdata_availability: no
status: public
supplementarymaterial: yes
title: Intriguing properties of robust classification
type: preprint
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: repository
_id: '17361'
abstract:
- lang: eng
text: We present symplectic structures on the shape space of unparameterized space
curves that generalize the classical Marsden-Weinstein structure. Our method integrates
the Liouville 1-form of the Marsden-Weinstein structure with Riemannian structures
that have been introduced in mathematical shape analysis. We also derive Hamiltonian
vector fields for several classical Hamiltonian functions with respect to these
new symplectic structures.
acknowledgement: The authors are grateful to Boris Khesin for valuable comments on
the MW symplectic structure and S. Ishida thanks Albert Chern for insightful discussions
on space curves and Chris Wojtan for his continuous support. M. Bauer was partially
supported by NSF grant DMS-1953244 and by the Binational Science Foundation (BSF).
S. Ishida was partially supported by ERC Consolidator Grant 101045083 “CoDiNA” funded
by the European Research Council. Some figures were generated by the software Houdini
and its education license was provided by SideFX.
article_processing_charge: No
arxiv: 1
author:
- first_name: Martin
full_name: Bauer, Martin
last_name: Bauer
- first_name: Sadashige
full_name: Ishida, Sadashige
id: 6F7C4B96-A8E9-11E9-A7CA-09ECE5697425
last_name: Ishida
orcid: 0000-0002-3121-3100
- first_name: Peter W.
full_name: Michor, Peter W.
last_name: Michor
citation:
ama: Bauer M, Ishida S, Michor PW. Symplectic structures on the space of space curves.
arXiv. doi:10.48550/arXiv.2407.19908
apa: Bauer, M., Ishida, S., & Michor, P. W. (n.d.). Symplectic structures on
the space of space curves. arXiv. https://doi.org/10.48550/arXiv.2407.19908
chicago: Bauer, Martin, Sadashige Ishida, and Peter W. Michor. “Symplectic Structures
on the Space of Space Curves.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2407.19908.
ieee: M. Bauer, S. Ishida, and P. W. Michor, “Symplectic structures on the space
of space curves,” arXiv. .
ista: Bauer M, Ishida S, Michor PW. Symplectic structures on the space of space
curves. arXiv, 10.48550/arXiv.2407.19908.
mla: Bauer, Martin, et al. “Symplectic Structures on the Space of Space Curves.”
ArXiv, doi:10.48550/arXiv.2407.19908.
short: M. Bauer, S. Ishida, P.W. Michor, ArXiv (n.d.).
das_tickbox: '0'
date_created: 2024-08-01T06:34:08Z
date_published: 2024-07-29T00:00:00Z
date_updated: 2026-10-02T11:16:46Z
day: '29'
department:
- _id: GradSch
- _id: ChWo
doi: 10.48550/arXiv.2407.19908
external_id:
arxiv:
- '2407.19908'
fulldoi: https://doi.org/10.48550/arXiv.2407.19908
keyword:
- space of space curves
- symplectic stuctures
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2407.19908
month: '07'
oa: 1
oa_version: Preprint
project:
- _id: 34bc2376-11ca-11ed-8bc3-9a3b3961a088
grant_number: '101045083'
name: Computational Discovery of Numerical Algorithms for Animation and Simulation
of Natural Phenomena
publication: arXiv
publication_status: draft
related_material:
record:
- id: '20551'
relation: dissertation_contains
status: public
- id: '21743'
relation: later_version
status: public
researchdata_availability: no
status: public
supplementarymaterial: no
title: Symplectic structures on the space of space curves
type: preprint
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '17219'
abstract:
- lang: eng
text: 'We introduce a multi-material non-manifold mesh-based surface tracking algorithm
that converts self-intersections into topological changes. Our algorithm generalizes
prior work on manifold surface tracking with topological changes: it preserves
surface features like mesh-based methods, and it robustly handles topological
changes like level set methods. Our method also offers improved efficiency and
robustness over the state of the art. We demonstrate the effectiveness of the
approach on a range of examples, including complex soap film simulations with
thousands of interacting bubbles, and boolean unions of non-manifold meshes consisting
of millions of triangles.'
acknowledgement: Peter Heiss-Synak helped conceive the project, helped formulate the
algorithm structure, contributed ideas and code to Sections 6 & 8, the mesh data
structure, algorithm robustness and benchmarks, helped write the paper, and provided
supervision and conceptual solutions throughout the project. Aleksei Kalinov contributed
ideas and code to Sections 7, 8.5, and 5, the sparse grid data structure, algorithm
robustness and benchmarks, optimized the performance, produced all results, most
figures, and the supplementary video, helped write the text, and provided conceptual
solutions throughout the project. Malina Strugaru helped implement the mesh data
structure and designed re-meshing operations for non-manifold triangle meshes. Arian
Etemadi developed early prototypes for ideas in Sections 8.1 and 8.3 and helped
write the paper. Huidong Yang developed early prototypes for isosurface extraction
and visualization. Chris Wojtan helped conceive the project, helped write the paper,
and provided supervision, prototype grid data structure code, and conceptual solutions
throughout the project. We thank the anonymous reviewers for their helpful comments,
the members of the Visual Computing Group at ISTA for their feedback, Christopher
Batty for discussions about LosTopos, and SideFX for the Houdini Education software
licenses. This research was funded in part by the European Union (ERC-2021-COG
101045083 CoDiNA).
article_number: '54'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Peter
full_name: Synak, Peter
id: 331776E2-F248-11E8-B48F-1D18A9856A87
last_name: Synak
- first_name: Aleksei
full_name: Kalinov, Aleksei
id: 44b7120e-eb97-11eb-a6c2-e1557aa81d02
last_name: Kalinov
orcid: 0000-0003-2189-3904
- first_name: Irina-Malina
full_name: Strugaru, Irina-Malina
id: 2afc607f-f128-11eb-9611-8f2a0dfcf074
last_name: Strugaru
- first_name: Arian
full_name: Etemadihaghighi, Arian
id: 36cea3aa-f38e-11ec-8ae0-c65ae6f6098f
last_name: Etemadihaghighi
- first_name: Huidong
full_name: Yang, Huidong
last_name: Yang
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Synak P, Kalinov A, Strugaru I-M, Etemadi A, Yang H, Wojtan C. Multi-material
mesh-based surface tracking with implicit topology changes. ACM Transactions
on Graphics. 2024;43(4). doi:10.1145/3658223
apa: Synak, P., Kalinov, A., Strugaru, I.-M., Etemadi, A., Yang, H., & Wojtan,
C. (2024). Multi-material mesh-based surface tracking with implicit topology changes.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3658223
chicago: Synak, Peter, Aleksei Kalinov, Irina-Malina Strugaru, Arian Etemadi, Huidong
Yang, and Chris Wojtan. “Multi-Material Mesh-Based Surface Tracking with Implicit
Topology Changes.” ACM Transactions on Graphics. Association for Computing
Machinery, 2024. https://doi.org/10.1145/3658223.
ieee: P. Synak, A. Kalinov, I.-M. Strugaru, A. Etemadi, H. Yang, and C. Wojtan,
“Multi-material mesh-based surface tracking with implicit topology changes,” ACM
Transactions on Graphics, vol. 43, no. 4. Association for Computing Machinery,
2024.
ista: Synak P, Kalinov A, Strugaru I-M, Etemadi A, Yang H, Wojtan C. 2024. Multi-material
mesh-based surface tracking with implicit topology changes. ACM Transactions on
Graphics. 43(4), 54.
mla: Synak, Peter, et al. “Multi-Material Mesh-Based Surface Tracking with Implicit
Topology Changes.” ACM Transactions on Graphics, vol. 43, no. 4, 54, Association
for Computing Machinery, 2024, doi:10.1145/3658223.
short: P. Synak, A. Kalinov, I.-M. Strugaru, A. Etemadi, H. Yang, C. Wojtan, ACM
Transactions on Graphics 43 (2024).
corr_author: '1'
das_tickbox: '0'
date_created: 2024-07-10T12:24:00Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2026-10-02T11:19:25Z
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- topology change
- non- manifold meshes
- multi-material flows
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title: Multi-material mesh-based surface tracking with implicit topology changes
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...