---
_id: '45816'
article_number: '103832'
author:
- first_name: Peter
full_name: Dieter, Peter
id: '88592'
last_name: Dieter
- first_name: Miriam
full_name: Stumpe, Miriam
id: '64135'
last_name: Stumpe
- first_name: Marlin Wolf
full_name: Ulmer, Marlin Wolf
last_name: Ulmer
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Dieter P, Stumpe M, Ulmer MW, Schryen G. Anticipatory Assignment of Passengers
to Meeting Points for Taxi-Ridesharing. Transportation Research Part D.
2023;121.
apa: Dieter, P., Stumpe, M., Ulmer, M. W., & Schryen, G. (2023). Anticipatory
Assignment of Passengers to Meeting Points for Taxi-Ridesharing. Transportation
Research Part D, 121, Article 103832.
bibtex: '@article{Dieter_Stumpe_Ulmer_Schryen_2023, title={Anticipatory Assignment
of Passengers to Meeting Points for Taxi-Ridesharing}, volume={121}, number={103832},
journal={Transportation Research Part D}, author={Dieter, Peter and Stumpe, Miriam
and Ulmer, Marlin Wolf and Schryen, Guido}, year={2023} }'
chicago: Dieter, Peter, Miriam Stumpe, Marlin Wolf Ulmer, and Guido Schryen. “Anticipatory
Assignment of Passengers to Meeting Points for Taxi-Ridesharing.” Transportation
Research Part D 121 (2023).
ieee: P. Dieter, M. Stumpe, M. W. Ulmer, and G. Schryen, “Anticipatory Assignment
of Passengers to Meeting Points for Taxi-Ridesharing,” Transportation Research
Part D, vol. 121, Art. no. 103832, 2023.
mla: Dieter, Peter, et al. “Anticipatory Assignment of Passengers to Meeting Points
for Taxi-Ridesharing.” Transportation Research Part D, vol. 121, 103832,
2023.
short: P. Dieter, M. Stumpe, M.W. Ulmer, G. Schryen, Transportation Research Part
D 121 (2023).
date_created: 2023-06-30T09:40:40Z
date_updated: 2023-07-13T19:24:01Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2023-06-30T09:35:54Z
date_updated: 2023-06-30T09:35:54Z
file_id: '45817'
file_name: Dynamic_TRS_with_meeting_points_Final.pdf
file_size: 7635511
relation: main_file
file_date_updated: 2023-06-30T09:35:54Z
has_accepted_license: '1'
intvolume: ' 121'
language:
- iso: eng
oa: '1'
publication: Transportation Research Part D
status: public
title: Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing
type: journal_article
user_id: '72850'
volume: 121
year: '2023'
...
---
_id: '46102'
author:
- first_name: Jonas
full_name: Leineweber, Jonas
id: '45701'
last_name: Leineweber
orcid: 0000-0001-8616-3051
citation:
ama: 'Leineweber J. Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt
des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult;
2023.'
apa: 'Leineweber, J. (2023). Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum
Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum.
H-Soz-Kult.'
bibtex: '@book{Leineweber_2023, title={Tagungsbericht: 10/20 Jahre UNESCO-Konvention
zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum},
publisher={H-Soz-Kult}, author={Leineweber, Jonas}, year={2023} }'
chicago: 'Leineweber, Jonas. Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum
Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum.
H-Soz-Kult, 2023.'
ieee: 'J. Leineweber, Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt
des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult,
2023.'
mla: 'Leineweber, Jonas. Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt
des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult,
2023.'
short: 'J. Leineweber, Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt
des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum, H-Soz-Kult,
2023.'
date_created: 2023-07-20T09:24:25Z
date_updated: 2023-07-20T09:44:28Z
department:
- _id: '443'
language:
- iso: ger
main_file_link:
- open_access: '1'
url: www.hsozkult.de/conferencereport/id/fdkn-137626
oa: '1'
publication_status: published
publisher: H-Soz-Kult
status: public
title: 'Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen
Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum'
type: report
user_id: '45701'
year: '2023'
...
---
_id: '46154'
author:
- first_name: Thomas
full_name: Janzen, Thomas
id: '89329'
last_name: Janzen
- first_name: Stephan
full_name: Gabel, Stephan
last_name: Gabel
- first_name: Martha
full_name: Gampert, Martha
last_name: Gampert
- first_name: Frauke
full_name: Matz, Frauke
last_name: Matz
- first_name: Julia
full_name: Reckermann, Julia
last_name: Reckermann
citation:
ama: 'Janzen T, Gabel S, Gampert M, Matz F, Reckermann J. Das DigitELE Tutorial:
Eine digitale Lernumgebung in der Englischdidaktik. In: Mrohs L, Hess M, Lindner
K, Schlüter J, Overhage S, eds. Digitalisierung in der Hochschullehre – Perspektiven
und Gestaltungsoptionen. University of Bamberg Press; 2023:151-154.'
apa: 'Janzen, T., Gabel, S., Gampert, M., Matz, F., & Reckermann, J. (2023).
Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik. In
L. Mrohs, M. Hess, K. Lindner, J. Schlüter, & S. Overhage (Eds.), Digitalisierung
in der Hochschullehre – Perspektiven und Gestaltungsoptionen (pp. 151–154).
University of Bamberg Press.'
bibtex: '@inbook{Janzen_Gabel_Gampert_Matz_Reckermann_2023, place={Bamberg}, title={Das
DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik}, booktitle={Digitalisierung
in der Hochschullehre – Perspektiven und Gestaltungsoptionen}, publisher={University
of Bamberg Press}, author={Janzen, Thomas and Gabel, Stephan and Gampert, Martha
and Matz, Frauke and Reckermann, Julia}, editor={Mrohs, Lorenz and Hess, Miriam
and Lindner, Konstantin and Schlüter, Julia and Overhage, Sven}, year={2023},
pages={151–154} }'
chicago: 'Janzen, Thomas, Stephan Gabel, Martha Gampert, Frauke Matz, and Julia
Reckermann. “Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik.”
In Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen,
edited by Lorenz Mrohs, Miriam Hess, Konstantin Lindner, Julia Schlüter, and Sven
Overhage, 151–54. Bamberg: University of Bamberg Press, 2023.'
ieee: 'T. Janzen, S. Gabel, M. Gampert, F. Matz, and J. Reckermann, “Das DigitELE
Tutorial: Eine digitale Lernumgebung in der Englischdidaktik,” in Digitalisierung
in der Hochschullehre – Perspektiven und Gestaltungsoptionen, L. Mrohs, M.
Hess, K. Lindner, J. Schlüter, and S. Overhage, Eds. Bamberg: University of Bamberg
Press, 2023, pp. 151–154.'
mla: 'Janzen, Thomas, et al. “Das DigitELE Tutorial: Eine digitale Lernumgebung
in der Englischdidaktik.” Digitalisierung in der Hochschullehre – Perspektiven
und Gestaltungsoptionen, edited by Lorenz Mrohs et al., University of Bamberg
Press, 2023, pp. 151–54.'
short: 'T. Janzen, S. Gabel, M. Gampert, F. Matz, J. Reckermann, in: L. Mrohs, M.
Hess, K. Lindner, J. Schlüter, S. Overhage (Eds.), Digitalisierung in der Hochschullehre
– Perspektiven und Gestaltungsoptionen, University of Bamberg Press, Bamberg,
2023, pp. 151–154.'
date_created: 2023-07-26T07:43:00Z
date_updated: 2023-07-26T07:43:35Z
editor:
- first_name: Lorenz
full_name: Mrohs, Lorenz
last_name: Mrohs
- first_name: Miriam
full_name: Hess, Miriam
last_name: Hess
- first_name: Konstantin
full_name: Lindner, Konstantin
last_name: Lindner
- first_name: Julia
full_name: Schlüter, Julia
last_name: Schlüter
- first_name: Sven
full_name: Overhage, Sven
last_name: Overhage
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://fis.uni-bamberg.de/server/api/core/bitstreams/66b34f39-efd1-4755-9b4a-d528853441fd/content
oa: '1'
page: 151-154
place: Bamberg
publication: Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen
publication_identifier:
unknown:
- 978-3-86309-887-2
publisher: University of Bamberg Press
status: public
title: 'Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik'
type: book_chapter
user_id: '89329'
year: '2023'
...
---
_id: '38041'
abstract:
- lang: eng
text: "While FPGA accelerator boards and their respective high-level design
tools are maturing, there is still a lack of multi-FPGA applications, libraries,
and not least, benchmarks and reference implementations towards sustained HPC
usage of these devices. As in the early days of GPUs in HPC, for workloads that
can reasonably be decoupled into loosely coupled working sets, multi-accelerator
support can be achieved by using standard communication interfaces like MPI on
the host side. However, for performance and productivity, some applications can
profit from a tighter coupling of the accelerators. FPGAs offer unique opportunities
here when extending the dataflow characteristics to their communication interfaces.\r\n
\ In this work, we extend the HPCC FPGA benchmark suite by multi-FPGA
support and three missing benchmarks that particularly characterize or stress
inter-device communication: b_eff, PTRANS, and LINPACK. With all benchmarks implemented
for current boards with Intel and Xilinx FPGAs, we established a baseline for
multi-FPGA performance. Additionally, for the communication-centric benchmarks,
we explored the potential of direct FPGA-to-FPGA communication with a circuit-switched
inter-FPGA network that is currently only available for one of the boards. The
evaluation with parallel execution on up to 26 FPGA boards makes use of one of
the largest academic FPGA installations."
author:
- first_name: Marius
full_name: Meyer, Marius
id: '40778'
last_name: Meyer
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
citation:
ama: Meyer M, Kenter T, Plessl C. Multi-FPGA Designs and Scaling of HPC Challenge
Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions
on Reconfigurable Technology and Systems. Published online 2023. doi:10.1145/3576200
apa: Meyer, M., Kenter, T., & Plessl, C. (2023). Multi-FPGA Designs and Scaling
of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks.
ACM Transactions on Reconfigurable Technology and Systems. https://doi.org/10.1145/3576200
bibtex: '@article{Meyer_Kenter_Plessl_2023, title={Multi-FPGA Designs and Scaling
of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks},
DOI={10.1145/3576200}, journal={ACM
Transactions on Reconfigurable Technology and Systems}, publisher={Association
for Computing Machinery (ACM)}, author={Meyer, Marius and Kenter, Tobias and Plessl,
Christian}, year={2023} }'
chicago: Meyer, Marius, Tobias Kenter, and Christian Plessl. “Multi-FPGA Designs
and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA
Networks.” ACM Transactions on Reconfigurable Technology and Systems, 2023.
https://doi.org/10.1145/3576200.
ieee: 'M. Meyer, T. Kenter, and C. Plessl, “Multi-FPGA Designs and Scaling of HPC
Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks,” ACM
Transactions on Reconfigurable Technology and Systems, 2023, doi: 10.1145/3576200.'
mla: Meyer, Marius, et al. “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks
via MPI and Circuit-Switched Inter-FPGA Networks.” ACM Transactions on Reconfigurable
Technology and Systems, Association for Computing Machinery (ACM), 2023, doi:10.1145/3576200.
short: M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology
and Systems (2023).
date_created: 2023-01-23T08:40:42Z
date_updated: 2023-07-28T08:02:05Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3576200
keyword:
- General Computer Science
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/10.1145/3576200
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901'
- _id: '14'
grant_number: '160364472'
name: 'SFB 901 - C2: SFB 901 - Subproject C2'
publication: ACM Transactions on Reconfigurable Technology and Systems
publication_identifier:
issn:
- 1936-7406
- 1936-7414
publication_status: published
publisher: Association for Computing Machinery (ACM)
quality_controlled: '1'
status: public
title: Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched
Inter-FPGA Networks
type: journal_article
user_id: '24135'
year: '2023'
...
---
_id: '46243'
author:
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: Demir C, Ngonga Ngomo A-C. Clifford Embeddings – A Generalized Approach for
Embedding in Normed Algebras. ECML-PKDD. Published online 2023.
apa: Demir, C., & Ngonga Ngomo, A.-C. (2023). Clifford Embeddings – A Generalized
Approach for Embedding in Normed Algebras. ECML-PKDD. European Conference
on Machine Learning and Principles and Practice of Knowledge Discovery in Databases,
Torino.
bibtex: '@article{Demir_Ngonga Ngomo_2023, title={Clifford Embeddings – A Generalized
Approach for Embedding in Normed Algebras}, journal={ECML-PKDD}, author={Demir,
Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
chicago: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Clifford Embeddings – A
Generalized Approach for Embedding in Normed Algebras.” ECML-PKDD, 2023.
ieee: C. Demir and A.-C. Ngonga Ngomo, “Clifford Embeddings – A Generalized Approach
for Embedding in Normed Algebras,” ECML-PKDD, 2023.
mla: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Clifford Embeddings – A Generalized
Approach for Embedding in Normed Algebras.” ECML-PKDD, 2023.
short: C. Demir, A.-C. Ngonga Ngomo, ECML-PKDD (2023).
conference:
location: Torino
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases
date_created: 2023-08-01T09:12:06Z
date_updated: 2023-08-01T09:22:40Z
ddc:
- '000'
file:
- access_level: open_access
content_type: application/pdf
creator: cdemir
date_created: 2023-08-01T09:11:59Z
date_updated: 2023-08-01T09:11:59Z
file_id: '46244'
file_name: public.pdf
file_size: 408352
relation: main_file
file_date_updated: 2023-08-01T09:11:59Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '407'
grant_number: '101070305'
name: 'ENEXA: Efficient Explainable Learning on Knowledge Graphs'
- _id: '410'
name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale'
- _id: '285'
grant_number: NW21-059D
name: 'SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems'
publication: ECML-PKDD
status: public
title: Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras
type: journal_article
user_id: '43817'
year: '2023'
...
---
_id: '46251'
author:
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: Demir C, Ngonga Ngomo A-C. Neuro-Symbolic Class Expression Learning. International
Joint Conference on Artificial Intelligence. Published online 2023.
apa: Demir, C., & Ngonga Ngomo, A.-C. (2023). Neuro-Symbolic Class Expression
Learning. International Joint Conference on Artificial Intelligence. International
Joint Conference on Artificial Intelligence IJCAI 2023, Macau.
bibtex: '@article{Demir_Ngonga Ngomo_2023, title={Neuro-Symbolic Class Expression
Learning}, journal={International Joint Conference on Artificial Intelligence},
author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }'
chicago: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression
Learning.” International Joint Conference on Artificial Intelligence, 2023.
ieee: C. Demir and A.-C. Ngonga Ngomo, “Neuro-Symbolic Class Expression Learning,”
International Joint Conference on Artificial Intelligence, 2023.
mla: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression
Learning.” International Joint Conference on Artificial Intelligence, 2023.
short: C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial
Intelligence (2023).
conference:
location: Macau
name: International Joint Conference on Artificial Intelligence IJCAI 2023
date_created: 2023-08-01T09:30:37Z
date_updated: 2023-08-01T09:44:30Z
ddc:
- '000'
department:
- _id: '574'
file:
- access_level: open_access
content_type: application/pdf
creator: cdemir
date_created: 2023-08-01T09:30:35Z
date_updated: 2023-08-01T09:30:35Z
file_id: '46252'
file_name: public.pdf
file_size: 340865
relation: main_file
file_date_updated: 2023-08-01T09:30:35Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '407'
grant_number: '101070305'
name: 'ENEXA: Efficient Explainable Learning on Knowledge Graphs'
- _id: '410'
name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale'
- _id: '285'
grant_number: NW21-059D
name: 'SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems'
publication: International Joint Conference on Artificial Intelligence
status: public
title: Neuro-Symbolic Class Expression Learning
type: journal_article
user_id: '43817'
year: '2023'
...
---
_id: '45361'
abstract:
- lang: eng
text: The non-orthogonal local submatrix method applied to electronic structure–based
molecular dynamics simulations is shown to exceed 1.1 EFLOP/s in FP16/FP32-mixed
floating-point arithmetic when using 4400 NVIDIA A100 GPUs of the Perlmutter system.
This is enabled by a modification of the original method that pushes the sustained
fraction of the peak performance to about 80%. Example calculations are performed
for SARS-CoV-2 spike proteins with up to 83 million atoms.
article_number: '109434202311776'
article_type: original
author:
- first_name: Robert
full_name: Schade, Robert
id: '75963'
last_name: Schade
orcid: 0000-0002-6268-539
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Hossam
full_name: Elgabarty, Hossam
id: '60250'
last_name: Elgabarty
orcid: 0000-0002-4945-1481
- first_name: Michael
full_name: Lass, Michael
id: '24135'
last_name: Lass
orcid: 0000-0002-5708-7632
- first_name: Thomas
full_name: Kühne, Thomas
id: '49079'
last_name: Kühne
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
citation:
ama: Schade R, Kenter T, Elgabarty H, Lass M, Kühne T, Plessl C. Breaking the exascale
barrier for the electronic structure problem in ab-initio molecular dynamics.
The International Journal of High Performance Computing Applications. Published
online 2023. doi:10.1177/10943420231177631
apa: Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., & Plessl, C.
(2023). Breaking the exascale barrier for the electronic structure problem in
ab-initio molecular dynamics. The International Journal of High Performance
Computing Applications, Article 109434202311776. https://doi.org/10.1177/10943420231177631
bibtex: '@article{Schade_Kenter_Elgabarty_Lass_Kühne_Plessl_2023, title={Breaking
the exascale barrier for the electronic structure problem in ab-initio molecular
dynamics}, DOI={10.1177/10943420231177631},
number={109434202311776}, journal={The International Journal of High Performance
Computing Applications}, publisher={SAGE Publications}, author={Schade, Robert
and Kenter, Tobias and Elgabarty, Hossam and Lass, Michael and Kühne, Thomas and
Plessl, Christian}, year={2023} }'
chicago: Schade, Robert, Tobias Kenter, Hossam Elgabarty, Michael Lass, Thomas Kühne,
and Christian Plessl. “Breaking the Exascale Barrier for the Electronic Structure
Problem in Ab-Initio Molecular Dynamics.” The International Journal of High
Performance Computing Applications, 2023. https://doi.org/10.1177/10943420231177631.
ieee: 'R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking
the exascale barrier for the electronic structure problem in ab-initio molecular
dynamics,” The International Journal of High Performance Computing Applications,
Art. no. 109434202311776, 2023, doi: 10.1177/10943420231177631.'
mla: Schade, Robert, et al. “Breaking the Exascale Barrier for the Electronic Structure
Problem in Ab-Initio Molecular Dynamics.” The International Journal of High
Performance Computing Applications, 109434202311776, SAGE Publications, 2023,
doi:10.1177/10943420231177631.
short: R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International
Journal of High Performance Computing Applications (2023).
date_created: 2023-05-30T09:19:09Z
date_updated: 2023-08-02T15:04:53Z
department:
- _id: '27'
- _id: '518'
doi: 10.1177/10943420231177631
keyword:
- Hardware and Architecture
- Theoretical Computer Science
- Software
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://journals.sagepub.com/doi/10.1177/10943420231177631
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: The International Journal of High Performance Computing Applications
publication_identifier:
issn:
- 1094-3420
- 1741-2846
publication_status: published
publisher: SAGE Publications
quality_controlled: '1'
status: public
title: Breaking the exascale barrier for the electronic structure problem in ab-initio
molecular dynamics
type: journal_article
user_id: '75963'
year: '2023'
...
---
_id: '45780'
author:
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
citation:
ama: 'Tornede A. Advanced Algorithm Selection with Machine Learning: Handling
Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions.;
2023. doi:10.17619/UNIPB/1-1780
'
apa: 'Tornede, A. (2023). Advanced Algorithm Selection with Machine Learning:
Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta
Level Decisions. https://doi.org/10.17619/UNIPB/1-1780
'
bibtex: '@book{Tornede_2023, title={Advanced Algorithm Selection with Machine Learning:
Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta
Level Decisions}, DOI={10.17619/UNIPB/1-1780
}, author={Tornede, Alexander}, year={2023} }'
chicago: 'Tornede, Alexander. Advanced Algorithm Selection with Machine Learning:
Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta
Level Decisions, 2023. https://doi.org/10.17619/UNIPB/1-1780
.'
ieee: 'A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling
Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions.
2023.'
mla: 'Tornede, Alexander. Advanced Algorithm Selection with Machine Learning:
Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta
Level Decisions. 2023, doi:10.17619/UNIPB/1-1780 .'
short: 'A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling
Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions,
2023.'
date_created: 2023-06-27T05:20:14Z
date_updated: 2023-08-04T06:01:49Z
ddc:
- '006'
department:
- _id: '355'
doi: '10.17619/UNIPB/1-1780 '
file:
- access_level: open_access
content_type: application/pdf
creator: ahetzer
date_created: 2023-07-24T08:40:35Z
date_updated: 2023-07-24T08:42:01Z
file_id: '46118'
file_name: dissertation_alexander_tornede_final_publishing_compressed.pdf
file_size: 4300633
relation: main_file
title: ' Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm
Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions'
file_date_updated: 2023-07-24T08:42:01Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '10'
grant_number: '160364472'
name: 'SFB 901 - B2: Konfiguration und Bewertung (B02)'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
last_name: Hüllermeier
title: 'Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm
Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions'
type: dissertation
user_id: '15504'
year: '2023'
...
---
_id: '29240'
abstract:
- lang: eng
text: "The principle of least action is one of the most fundamental physical principle.
It says that among all possible motions connecting two points in a phase space,
the system will exhibit those motions which extremise an action functional. Many
qualitative features of dynamical systems, such as the presence of conservation
laws and energy balance equations, are related to the existence of an action functional.
Incorporating variational structure into learning algorithms for dynamical systems
is, therefore, crucial in order to make sure that the learned model shares important
features with the exact physical system. In this paper we show how to incorporate
variational principles into trajectory predictions of learned dynamical systems.
The novelty of this work is that (1) our technique relies only on discrete position
data of observed trajectories. Velocities or conjugate momenta do not need to
be observed or approximated and no prior knowledge about the form of the variational
principle is assumed. Instead, they are recovered using backward error analysis.
(2) Moreover, our technique compensates discretisation errors when trajectories
are computed from the learned system. This is important when moderate to large
step-sizes are used and high accuracy is required. For this,\r\nwe introduce and
rigorously analyse the concept of inverse modified Lagrangians by developing an
inverse version of variational backward error analysis. (3) Finally, we introduce
a method to perform system identification from position observations only, based
on variational backward error analysis."
article_type: original
author:
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
citation:
ama: Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from
Data. Journal of Computational and Applied Mathematics. 2023;421:114780.
doi:10.1016/j.cam.2022.114780
apa: Ober-Blöbaum, S., & Offen, C. (2023). Variational Learning of Euler–Lagrange
Dynamics from Data. Journal of Computational and Applied Mathematics, 421,
114780. https://doi.org/10.1016/j.cam.2022.114780
bibtex: '@article{Ober-Blöbaum_Offen_2023, title={Variational Learning of Euler–Lagrange
Dynamics from Data}, volume={421}, DOI={10.1016/j.cam.2022.114780},
journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier},
author={Ober-Blöbaum, Sina and Offen, Christian}, year={2023}, pages={114780}
}'
chicago: 'Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange
Dynamics from Data.” Journal of Computational and Applied Mathematics 421
(2023): 114780. https://doi.org/10.1016/j.cam.2022.114780.'
ieee: 'S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics
from Data,” Journal of Computational and Applied Mathematics, vol. 421,
p. 114780, 2023, doi: 10.1016/j.cam.2022.114780.'
mla: Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange
Dynamics from Data.” Journal of Computational and Applied Mathematics,
vol. 421, Elsevier, 2023, p. 114780, doi:10.1016/j.cam.2022.114780.
short: S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics
421 (2023) 114780.
date_created: 2022-01-11T13:24:00Z
date_updated: 2023-08-10T08:42:39Z
ddc:
- '510'
department:
- _id: '636'
doi: 10.1016/j.cam.2022.114780
external_id:
arxiv:
- '2112.12619'
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2022-06-28T15:25:50Z
date_updated: 2022-06-28T15:25:50Z
description: |-
The principle of least action is one of the most fundamental physical principle. It says that among all possible motions
connecting two points in a phase space, the system will exhibit those motions which extremise an action functional.
Many qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equa-
tions, are related to the existence of an action functional. Incorporating variational structure into learning algorithms
for dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features
with the exact physical system. In this paper we show how to incorporate variational principles into trajectory predic-
tions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position
data of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no
prior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward
error analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the
learned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,
we introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of
variational backward error analysis. (3) Finally, we introduce a method to perform system identification from position
observations only, based on variational backward error analysis.
file_id: '32274'
file_name: ShadowLagrangian_revision1_journal_style_arxiv.pdf
file_size: 3640770
relation: main_file
title: Variational Learning of Euler–Lagrange Dynamics from Data
file_date_updated: 2022-06-28T15:25:50Z
has_accepted_license: '1'
intvolume: ' 421'
keyword:
- Lagrangian learning
- variational backward error analysis
- modified Lagrangian
- variational integrators
- physics informed learning
language:
- iso: eng
oa: '1'
page: '114780'
publication: Journal of Computational and Applied Mathematics
publication_identifier:
issn:
- 0377-0427
publication_status: epub_ahead
publisher: Elsevier
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/Christian-Offen/LagrangianShadowIntegration
status: public
title: Variational Learning of Euler–Lagrange Dynamics from Data
type: journal_article
user_id: '85279'
volume: 421
year: '2023'
...
---
_id: '29236'
abstract:
- lang: eng
text: The numerical solution of an ordinary differential equation can be interpreted
as the exact solution of a nearby modified equation. Investigating the behaviour
of numerical solutions by analysing the modified equation is known as backward
error analysis. If the original and modified equation share structural properties,
then the exact and approximate solution share geometric features such as the existence
of conserved quantities. Conjugate symplectic methods preserve a modified symplectic
form and a modified Hamiltonian when applied to a Hamiltonian system. We show
how a blended version of variational and symplectic techniques can be used to
compute modified symplectic and Hamiltonian structures. In contrast to other approaches,
our backward error analysis method does not rely on an ansatz but computes the
structures systematically, provided that a variational formulation of the method
is known. The technique is illustrated on the example of symmetric linear multistep
methods with matrix coefficients.
article_type: original
author:
- first_name: Robert
full_name: McLachlan, Robert
last_name: McLachlan
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
citation:
ama: McLachlan R, Offen C. Backward error analysis for conjugate symplectic methods.
Journal of Geometric Mechanics. 2023;15(1):98-115. doi:10.3934/jgm.2023005
apa: McLachlan, R., & Offen, C. (2023). Backward error analysis for conjugate
symplectic methods. Journal of Geometric Mechanics, 15(1), 98–115.
https://doi.org/10.3934/jgm.2023005
bibtex: '@article{McLachlan_Offen_2023, title={Backward error analysis for conjugate
symplectic methods}, volume={15}, DOI={10.3934/jgm.2023005},
number={1}, journal={Journal of Geometric Mechanics}, publisher={AIMS Press},
author={McLachlan, Robert and Offen, Christian}, year={2023}, pages={98–115} }'
chicago: 'McLachlan, Robert, and Christian Offen. “Backward Error Analysis for Conjugate
Symplectic Methods.” Journal of Geometric Mechanics 15, no. 1 (2023): 98–115.
https://doi.org/10.3934/jgm.2023005.'
ieee: 'R. McLachlan and C. Offen, “Backward error analysis for conjugate symplectic
methods,” Journal of Geometric Mechanics, vol. 15, no. 1, pp. 98–115, 2023,
doi: 10.3934/jgm.2023005.'
mla: McLachlan, Robert, and Christian Offen. “Backward Error Analysis for Conjugate
Symplectic Methods.” Journal of Geometric Mechanics, vol. 15, no. 1, AIMS
Press, 2023, pp. 98–115, doi:10.3934/jgm.2023005.
short: R. McLachlan, C. Offen, Journal of Geometric Mechanics 15 (2023) 98–115.
date_created: 2022-01-11T12:48:39Z
date_updated: 2023-08-10T08:40:30Z
ddc:
- '510'
department:
- _id: '636'
doi: 10.3934/jgm.2023005
external_id:
arxiv:
- '2201.03911'
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2022-08-12T16:48:59Z
date_updated: 2022-08-12T16:48:59Z
description: The numerical solution of an ordinary differential equation can be
interpreted as the exact solution of a nearby modified equation. Investigating
the behaviour of numerical solutions by analysing the modified equation is known
as backward error analysis. If the original and modified equation share structural
properties, then the exact and approximate solution share geometric features such
as the existence of conserved quantities. Conjugate symplectic methods preserve
a modified symplectic form and a modified Hamiltonian when applied to a Hamiltonian
system. We show how a blended version of variational and symplectic techniques
can be used to compute modified symplectic and Hamiltonian structures. In contrast
to other approaches, our backward error analysis method does not rely on an ansatz
but computes the structures systematically, provided that a variational formulation
of the method is known. The technique is illustrated on the example of symmetric
linear multistep methods with matrix coefficients.
file_id: '32801'
file_name: BEA_MultiStep_Matrix.pdf
file_size: 827030
relation: main_file
title: Backward error analysis for conjugate symplectic methods
file_date_updated: 2022-08-12T16:48:59Z
has_accepted_license: '1'
intvolume: ' 15'
issue: '1'
keyword:
- variational integrators
- backward error analysis
- Euler--Lagrange equations
- multistep methods
- conjugate symplectic methods
language:
- iso: eng
oa: '1'
page: 98-115
publication: Journal of Geometric Mechanics
publication_status: published
publisher: AIMS Press
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/Christian-Offen/BEAConjugateSymplectic
status: public
title: Backward error analysis for conjugate symplectic methods
type: journal_article
user_id: '85279'
volume: 15
year: '2023'
...
---
_id: '37654'
abstract:
- lang: eng
text: "Recently, Hamiltonian neural networks (HNN) have been introduced to incorporate
prior physical knowledge when\r\nlearning the dynamical equations of Hamiltonian
systems. Hereby, the symplectic system structure is preserved despite\r\nthe data-driven
modeling approach. However, preserving symmetries requires additional attention.
In this research, we\r\nenhance the HNN with a Lie algebra framework to detect
and embed symmetries in the neural network. This approach\r\nallows to simultaneously
learn the symmetry group action and the total energy of the system. As illustrating
examples,\r\na pendulum on a cart and a two-body problem from astrodynamics are
considered."
article_number: '063115'
article_type: original
author:
- first_name: Eva
full_name: Dierkes, Eva
last_name: Dierkes
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Kathrin
full_name: Flaßkamp, Kathrin
last_name: Flaßkamp
citation:
ama: Dierkes E, Offen C, Ober-Blöbaum S, Flaßkamp K. Hamiltonian Neural Networks
with Automatic Symmetry Detection. Chaos. 2023;33(6). doi:10.1063/5.0142969
apa: Dierkes, E., Offen, C., Ober-Blöbaum, S., & Flaßkamp, K. (2023). Hamiltonian
Neural Networks with Automatic Symmetry Detection. Chaos, 33(6),
Article 063115. https://doi.org/10.1063/5.0142969
bibtex: '@article{Dierkes_Offen_Ober-Blöbaum_Flaßkamp_2023, title={Hamiltonian Neural
Networks with Automatic Symmetry Detection}, volume={33}, DOI={10.1063/5.0142969},
number={6063115}, journal={Chaos}, publisher={AIP Publishing}, author={Dierkes,
Eva and Offen, Christian and Ober-Blöbaum, Sina and Flaßkamp, Kathrin}, year={2023}
}'
chicago: Dierkes, Eva, Christian Offen, Sina Ober-Blöbaum, and Kathrin Flaßkamp.
“Hamiltonian Neural Networks with Automatic Symmetry Detection.” Chaos
33, no. 6 (2023). https://doi.org/10.1063/5.0142969.
ieee: 'E. Dierkes, C. Offen, S. Ober-Blöbaum, and K. Flaßkamp, “Hamiltonian Neural
Networks with Automatic Symmetry Detection,” Chaos, vol. 33, no. 6, Art.
no. 063115, 2023, doi: 10.1063/5.0142969.'
mla: Dierkes, Eva, et al. “Hamiltonian Neural Networks with Automatic Symmetry Detection.”
Chaos, vol. 33, no. 6, 063115, AIP Publishing, 2023, doi:10.1063/5.0142969.
short: E. Dierkes, C. Offen, S. Ober-Blöbaum, K. Flaßkamp, Chaos 33 (2023).
date_created: 2023-01-20T09:10:06Z
date_updated: 2023-08-10T08:37:01Z
ddc:
- '510'
department:
- _id: '636'
doi: 10.1063/5.0142969
external_id:
arxiv:
- '2301.07928'
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2023-04-26T16:20:56Z
date_updated: 2023-04-26T16:20:56Z
description: |-
Incorporating physical system knowledge into data-driven
system identification has been shown to be beneficial. The
approach presented in this article combines learning of an
energy-conserving model from data with detecting a Lie
group representation of the unknown system symmetry.
The proposed approach can improve the learned model
and reveal underlying symmetry simultaneously.
file_id: '44205'
file_name: JournalPaper_main.pdf
file_size: 5200111
relation: main_file
title: Hamiltonian Neural Networks with Automatic Symmetry Detection
file_date_updated: 2023-04-26T16:20:56Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '6'
language:
- iso: eng
oa: '1'
publication: Chaos
publication_identifier:
issn:
- 1054-1500
publication_status: published
publisher: AIP Publishing
related_material:
link:
- description: GitHub
relation: software
url: https://github.com/eva-dierkes/HNN_withSymmetries
status: public
title: Hamiltonian Neural Networks with Automatic Symmetry Detection
type: journal_article
user_id: '85279'
volume: 33
year: '2023'
...
---
_id: '46482'
abstract:
- lang: eng
text: "Ever increasing demands on the performance of microchips are leading to ever
more complex semiconductor technologies with ever shrinking feature sizes. Complex
applications with high demands on safety and reliability, such as autonomous driving,
are simultaneously driving the requirements for test and diagnosis of VLSI circuits.
Throughout the life cycle of a microchip, uncertainties occur that affect its
timing behavior. For example, weak circuit structures, aging effects, or process
variations can lead to a change in the timing behavior of the circuit. While these
uncertainties do not necessarily lead to a change of the functional behavior,
they can lead to a reliability problem.\r\nWith modular and hybrid compaction
two test instruments are presented in this work that can be used for X-tolerant
test response compaction in the built-in Faster-than-At-Speed Test (FAST) which
is used to detect uncertainties in VLSI circuits. One challenge for test response
compaction during FAST is the high and varying X-rate at the outputs of the circuit
under test. By dividing the circuit outputs into test groups and separately compacting
these test groups using stochastic compactors, the modular compaction is able
to handle these high and varying X-rates.\r\nTo deal with uncertainties on logic
interconnects, a method for distinguishing crosstalk and process variation is
presented. In current semiconductor technologies, the number of parasitic coupling
capacitances between logic interconnects is growing. These coupling capacitances
can lead to crosstalk, which causes increased current flow in the logic interconnects,
which in turn can lead to increased electromigration. In the presented method,
delay maps describing the timing behavior of the circuit outputs at different
operating points are used to train artificial neural networks which classify the
tested circuits into fault-free and faulty."
- lang: ger
text: "Immer größere Anforderungen an die Leistungsfähigkeit von Mikrochips führen
zu Halbleitertechnologien mit immer kleiner werdenden Strukturgrößen. Anwendungen
mit hohen Ansprüchen an Sicherheit und Zuverlässigkeit, wie z.B. das autonome
Fahren, treiben gleichzeitig die Anforderungen an den Test hochintegrierter Schaltungen
an. Während des gesamten Lebenszyklus eines Mikrochips kommt es zu Unsicherheiten
im Zeitverhalten. So können z.B. schwache Schaltungsstrukturen, Alterungseffekte
oder Prozessvariationen zu einer Veränderung des Zeitverhaltens führen. Während
diese Unsicherheiten nicht zu einer Veränderung des funktionalen Verhaltens führen
müssen, können sie jedoch zu einem Zuverlässigkeitsproblem führen.\r\nMit der
modularen und der hybriden Kompaktierung werden in dieser Arbeit zwei Testinstrumente
vorgestellt, die für die X-tolerante Testantwortkompaktierung im eingebauten Hochgeschwindigkeitstest
verwendet werden können. Eine Herausforderung für die Testantwortkompaktierung
während des Hochgeschwindigkeitstests ist die hohe und variierende X-Rate an den
Ausgängen der zu testenden Schaltung. Durch die Einteilung der Schaltungsausgänge
in Prüfgruppen und die separierte Kompaktierung der Prüfgruppen mithilfe von stochastischen
Kompaktierern, können die vorgestellten Verfahren diese hohen und variierenden
X-Raten verarbeiten.\r\nFür den Umgang mit Unsicherheiten auf Verbindungsleitungen
der Logik-Schaltung wird ein Verfahren zur Unterscheidung von Übersprechen und
Prozessvariation vorgestellt. In aktuellen Halbleitertechnologien kommt es vermehrt
zu parasitären Koppelkapazitäten zwischen den Verbindungsleitungen. In dem vorgestellten
Verfahren werden künstliche neuronale Netze trainiert, um die Schaltungen in fehlerfrei
und fehlerhaft zu klassifizieren."
author:
- first_name: Alexander
full_name: Sprenger, Alexander
id: '22707'
last_name: Sprenger
orcid: 0000-0002-0775-7677
citation:
ama: Sprenger A. Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten
in Logikblöcken hochintegrierter Schaltungen. Universität Paderborn; 2023.
doi:10.17619/UNIPB/1-1787
apa: Sprenger, A. (2023). Testinstrumente und Testdatenanalyse zur Verarbeitung
von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Universität
Paderborn. https://doi.org/10.17619/UNIPB/1-1787
bibtex: '@book{Sprenger_2023, place={Paderborn}, title={Testinstrumente und Testdatenanalyse
zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen},
DOI={10.17619/UNIPB/1-1787},
publisher={Universität Paderborn}, author={Sprenger, Alexander}, year={2023} }'
chicago: 'Sprenger, Alexander. Testinstrumente und Testdatenanalyse zur Verarbeitung
von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Paderborn:
Universität Paderborn, 2023. https://doi.org/10.17619/UNIPB/1-1787.'
ieee: 'A. Sprenger, Testinstrumente und Testdatenanalyse zur Verarbeitung von
Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Paderborn: Universität
Paderborn, 2023.'
mla: Sprenger, Alexander. Testinstrumente und Testdatenanalyse zur Verarbeitung
von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Universität
Paderborn, 2023, doi:10.17619/UNIPB/1-1787.
short: A. Sprenger, Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten
in Logikblöcken hochintegrierter Schaltungen, Universität Paderborn, Paderborn,
2023.
date_created: 2023-08-12T09:10:38Z
date_updated: 2023-08-12T09:13:18Z
department:
- _id: '48'
doi: 10.17619/UNIPB/1-1787
extern: '1'
keyword:
- Testantwortkompaktierung
- Prozessvariation
- Silicon Lifecycle Management
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://nbn-resolving.org/urn:nbn:de:hbz:466:2-45493
oa: '1'
page: xi, 160
place: Paderborn
publication_status: published
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Sybille
full_name: Hellebrand, Sybille
id: '209'
last_name: Hellebrand
orcid: 0000-0002-3717-3939
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
title: Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in
Logikblöcken hochintegrierter Schaltungen
type: dissertation
user_id: '22707'
year: '2023'
...
---
_id: '46579'
abstract:
- lang: eng
text: "The Koopman operator has become an essential tool for data-driven analysis,
prediction and control of complex systems, the main reason being the enormous
potential of identifying linear function space representations of nonlinear\r\ndynamics
from measurements. Until now, the situation where for large-scale systems, we
(i) only have access to partial observations (i.e., measurements, as is very common
for experimental data) or (ii) deliberately perform coarse\r\ngraining (for efficiency
reasons) has not been treated to its full extent. In this paper, we address the
pitfall associated with this situation, that the classical EDMD algorithm does
not automatically provide a Koopman operator approximation for the underlying
system if we do not carefully select the number of observables. Moreover, we show
that symmetries in the system dynamics can be carried over to the Koopman operator,
which allows us to massively increase the model efficiency. We also briefly draw
a connection to domain decomposition techniques for partial differential equations
and present numerical evidence using the Kuramoto--Sivashinsky equation."
author:
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Hans
full_name: Harder, Hans
id: '98879'
last_name: Harder
- first_name: Feliks
full_name: Nüske, Feliks
last_name: Nüske
- first_name: Friedrich
full_name: Philipp, Friedrich
last_name: Philipp
- first_name: Manuel
full_name: Schaller, Manuel
last_name: Schaller
- first_name: Karl
full_name: Worthmann, Karl
last_name: Worthmann
citation:
ama: Peitz S, Harder H, Nüske F, Philipp F, Schaller M, Worthmann K. Partial observations,
coarse graining and equivariance in Koopman operator theory for large-scale dynamical
systems. arXiv:230715325. Published online 2023.
apa: Peitz, S., Harder, H., Nüske, F., Philipp, F., Schaller, M., & Worthmann,
K. (2023). Partial observations, coarse graining and equivariance in Koopman
operator theory for large-scale dynamical systems. In arXiv:2307.15325.
bibtex: '@article{Peitz_Harder_Nüske_Philipp_Schaller_Worthmann_2023, title={Partial
observations, coarse graining and equivariance in Koopman operator theory for
large-scale dynamical systems}, journal={arXiv:2307.15325}, author={Peitz, Sebastian
and Harder, Hans and Nüske, Feliks and Philipp, Friedrich and Schaller, Manuel
and Worthmann, Karl}, year={2023} }'
chicago: Peitz, Sebastian, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel
Schaller, and Karl Worthmann. “Partial Observations, Coarse Graining and Equivariance
in Koopman Operator Theory for Large-Scale Dynamical Systems.” ArXiv:2307.15325,
2023.
ieee: S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, and K. Worthmann,
“Partial observations, coarse graining and equivariance in Koopman operator theory
for large-scale dynamical systems,” arXiv:2307.15325. 2023.
mla: Peitz, Sebastian, et al. “Partial Observations, Coarse Graining and Equivariance
in Koopman Operator Theory for Large-Scale Dynamical Systems.” ArXiv:2307.15325,
2023.
short: S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325
(2023).
date_created: 2023-08-21T05:52:24Z
date_updated: 2023-08-21T05:53:35Z
department:
- _id: '655'
external_id:
arxiv:
- '2307.15325'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2307.15325
oa: '1'
publication: arXiv:2307.15325
status: public
title: Partial observations, coarse graining and equivariance in Koopman operator
theory for large-scale dynamical systems
type: preprint
user_id: '47427'
year: '2023'
...
---
_id: '45602'
article_number: '100152'
author:
- first_name: Yasin
full_name: Karakaya, Yasin
id: '95069'
last_name: Karakaya
- first_name: H.
full_name: Somnitz, H.
last_name: Somnitz
- first_name: A.
full_name: Hermsen, A.
last_name: Hermsen
- first_name: Munko
full_name: Gonchikzhapov, Munko
id: '94996'
last_name: Gonchikzhapov
orcid: https://orcid.org/0000-0002-7773-047X
- first_name: Tina
full_name: Kasper, Tina
id: '94562'
last_name: Kasper
orcid: '0000-0003-3993-5316 '
citation:
ama: Karakaya Y, Somnitz H, Hermsen A, Gonchikzhapov M, Kasper T. Revisiting the
initial reaction rates for TMS combustion and a new evidence for metastable silica
nanoparticles in the gas-phase synthesis. Applications in Energy and Combustion
Science. 2023;14. doi:10.1016/j.jaecs.2023.100152
apa: Karakaya, Y., Somnitz, H., Hermsen, A., Gonchikzhapov, M., & Kasper, T.
(2023). Revisiting the initial reaction rates for TMS combustion and a new evidence
for metastable silica nanoparticles in the gas-phase synthesis. Applications
in Energy and Combustion Science, 14, Article 100152. https://doi.org/10.1016/j.jaecs.2023.100152
bibtex: '@article{Karakaya_Somnitz_Hermsen_Gonchikzhapov_Kasper_2023, title={Revisiting
the initial reaction rates for TMS combustion and a new evidence for metastable
silica nanoparticles in the gas-phase synthesis}, volume={14}, DOI={10.1016/j.jaecs.2023.100152},
number={100152}, journal={Applications in Energy and Combustion Science}, publisher={Elsevier
BV}, author={Karakaya, Yasin and Somnitz, H. and Hermsen, A. and Gonchikzhapov,
Munko and Kasper, Tina}, year={2023} }'
chicago: Karakaya, Yasin, H. Somnitz, A. Hermsen, Munko Gonchikzhapov, and Tina
Kasper. “Revisiting the Initial Reaction Rates for TMS Combustion and a New Evidence
for Metastable Silica Nanoparticles in the Gas-Phase Synthesis.” Applications
in Energy and Combustion Science 14 (2023). https://doi.org/10.1016/j.jaecs.2023.100152.
ieee: 'Y. Karakaya, H. Somnitz, A. Hermsen, M. Gonchikzhapov, and T. Kasper, “Revisiting
the initial reaction rates for TMS combustion and a new evidence for metastable
silica nanoparticles in the gas-phase synthesis,” Applications in Energy and
Combustion Science, vol. 14, Art. no. 100152, 2023, doi: 10.1016/j.jaecs.2023.100152.'
mla: Karakaya, Yasin, et al. “Revisiting the Initial Reaction Rates for TMS Combustion
and a New Evidence for Metastable Silica Nanoparticles in the Gas-Phase Synthesis.”
Applications in Energy and Combustion Science, vol. 14, 100152, Elsevier
BV, 2023, doi:10.1016/j.jaecs.2023.100152.
short: Y. Karakaya, H. Somnitz, A. Hermsen, M. Gonchikzhapov, T. Kasper, Applications
in Energy and Combustion Science 14 (2023).
date_created: 2023-06-13T18:32:33Z
date_updated: 2023-08-22T20:03:29Z
department:
- _id: '728'
doi: 10.1016/j.jaecs.2023.100152
intvolume: ' 14'
keyword:
- Metastable particles
- Nanomaterials
- Quartz-crystal-microbalance
- Molecular-beam mass spectrometry
- Tetramethylsilane
- Reaction kinetics
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2666352X23000419
oa: '1'
publication: Applications in Energy and Combustion Science
publication_identifier:
issn:
- 2666-352X
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Revisiting the initial reaction rates for TMS combustion and a new evidence
for metastable silica nanoparticles in the gas-phase synthesis
type: journal_article
user_id: '94996'
volume: 14
year: '2023'
...
---
_id: '23428'
abstract:
- lang: eng
text: "The Koopman operator has become an essential tool for data-driven approximation
of dynamical (control) systems in recent years, e.g., via extended dynamic mode
decomposition. Despite its popularity, convergence results and, in particular,
error bounds are still quite scarce. In this paper, we derive probabilistic bounds
for the approximation error and the prediction error depending on the number of
training data points; for both ordinary and stochastic differential equations.
Moreover, we extend our analysis to nonlinear control-affine systems using either
ergodic trajectories or i.i.d.\r\nsamples. Here, we exploit the linearity of the
Koopman generator to obtain a bilinear system and, thus, circumvent the curse
of dimensionality since we do not autonomize the system by augmenting the state
by the control inputs. To the\r\nbest of our knowledge, this is the first finite-data
error analysis in the stochastic and/or control setting. Finally, we demonstrate
the effectiveness of the proposed approach by comparing it with state-of-the-art
techniques showing its superiority whenever state and control are coupled."
article_number: '14'
author:
- first_name: Feliks
full_name: Nüske, Feliks
id: '81513'
last_name: Nüske
orcid: 0000-0003-2444-7889
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Friedrich
full_name: Philipp, Friedrich
last_name: Philipp
- first_name: Manuel
full_name: Schaller, Manuel
last_name: Schaller
- first_name: Karl
full_name: Worthmann, Karl
last_name: Worthmann
citation:
ama: Nüske F, Peitz S, Philipp F, Schaller M, Worthmann K. Finite-data error bounds
for Koopman-based prediction and control. Journal of Nonlinear Science.
2023;33. doi:10.1007/s00332-022-09862-1
apa: Nüske, F., Peitz, S., Philipp, F., Schaller, M., & Worthmann, K. (2023).
Finite-data error bounds for Koopman-based prediction and control. Journal
of Nonlinear Science, 33, Article 14. https://doi.org/10.1007/s00332-022-09862-1
bibtex: '@article{Nüske_Peitz_Philipp_Schaller_Worthmann_2023, title={Finite-data
error bounds for Koopman-based prediction and control}, volume={33}, DOI={10.1007/s00332-022-09862-1},
number={14}, journal={Journal of Nonlinear Science}, author={Nüske, Feliks and
Peitz, Sebastian and Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl},
year={2023} }'
chicago: Nüske, Feliks, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, and
Karl Worthmann. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.”
Journal of Nonlinear Science 33 (2023). https://doi.org/10.1007/s00332-022-09862-1.
ieee: 'F. Nüske, S. Peitz, F. Philipp, M. Schaller, and K. Worthmann, “Finite-data
error bounds for Koopman-based prediction and control,” Journal of Nonlinear
Science, vol. 33, Art. no. 14, 2023, doi: 10.1007/s00332-022-09862-1.'
mla: Nüske, Feliks, et al. “Finite-Data Error Bounds for Koopman-Based Prediction
and Control.” Journal of Nonlinear Science, vol. 33, 14, 2023, doi:10.1007/s00332-022-09862-1.
short: F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear
Science 33 (2023).
date_created: 2021-08-17T12:25:09Z
date_updated: 2023-08-24T07:50:12Z
department:
- _id: '101'
- _id: '655'
doi: 10.1007/s00332-022-09862-1
intvolume: ' 33'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/content/pdf/10.1007/s00332-022-09862-1.pdf
oa: '1'
publication: Journal of Nonlinear Science
publication_status: published
status: public
title: Finite-data error bounds for Koopman-based prediction and control
type: journal_article
user_id: '47427'
volume: 33
year: '2023'
...
---
_id: '46637'
article_number: '100174'
author:
- first_name: Munko
full_name: Gonchikzhapov, Munko
id: '94996'
last_name: Gonchikzhapov
orcid: https://orcid.org/0000-0002-7773-047X
- first_name: Tina
full_name: Kasper, Tina
id: '94562'
last_name: Kasper
orcid: '0000-0003-3993-5316 '
citation:
ama: Gonchikzhapov M, Kasper T. Thermal and chemical structure of ethanol and 2-ethylhexanoic
acid/ethanol SpraySyn flames. Applications in Energy and Combustion Science.
2023;15. doi:10.1016/j.jaecs.2023.100174
apa: Gonchikzhapov, M., & Kasper, T. (2023). Thermal and chemical structure
of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames. Applications in
Energy and Combustion Science, 15, Article 100174. https://doi.org/10.1016/j.jaecs.2023.100174
bibtex: '@article{Gonchikzhapov_Kasper_2023, title={Thermal and chemical structure
of ethanol and 2-ethylhexanoic acid/ethanol SpraySyn flames}, volume={15}, DOI={10.1016/j.jaecs.2023.100174},
number={100174}, journal={Applications in Energy and Combustion Science}, publisher={Elsevier
BV}, author={Gonchikzhapov, Munko and Kasper, Tina}, year={2023} }'
chicago: Gonchikzhapov, Munko, and Tina Kasper. “Thermal and Chemical Structure
of Ethanol and 2-Ethylhexanoic Acid/Ethanol SpraySyn Flames.” Applications
in Energy and Combustion Science 15 (2023). https://doi.org/10.1016/j.jaecs.2023.100174.
ieee: 'M. Gonchikzhapov and T. Kasper, “Thermal and chemical structure of ethanol
and 2-ethylhexanoic acid/ethanol SpraySyn flames,” Applications in Energy and
Combustion Science, vol. 15, Art. no. 100174, 2023, doi: 10.1016/j.jaecs.2023.100174.'
mla: Gonchikzhapov, Munko, and Tina Kasper. “Thermal and Chemical Structure of Ethanol
and 2-Ethylhexanoic Acid/Ethanol SpraySyn Flames.” Applications in Energy and
Combustion Science, vol. 15, 100174, Elsevier BV, 2023, doi:10.1016/j.jaecs.2023.100174.
short: M. Gonchikzhapov, T. Kasper, Applications in Energy and Combustion Science
15 (2023).
date_created: 2023-08-22T13:26:37Z
date_updated: 2023-08-24T08:55:26Z
department:
- _id: '43'
doi: 10.1016/j.jaecs.2023.100174
intvolume: ' 15'
keyword:
- Nanoparticle synthesis
- Flame spray pyrolysis
- SpraySyn burner
- Flame structure
- Species distribution
- Temperature distribution
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2666352X23000638
oa: '1'
publication: Applications in Energy and Combustion Science
publication_identifier:
issn:
- 2666-352X
publication_status: published
publisher: Elsevier BV
status: public
title: Thermal and chemical structure of ethanol and 2-ethylhexanoic acid/ethanol
SpraySyn flames
type: journal_article
user_id: '94996'
volume: 15
year: '2023'
...
---
_id: '46784'
article_number: '5616'
author:
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Jan
full_name: Stenner, Jan
id: '65520'
last_name: Stenner
- first_name: Daniel
full_name: Weber, Daniel
id: '24041'
last_name: Weber
orcid: 0000-0003-3367-5998
- first_name: Septimus
full_name: Boshoff, Septimus
last_name: Boshoff
- first_name: Marvin
full_name: Meyer, Marvin
last_name: Meyer
- first_name: Vikas
full_name: Chidananda, Vikas
last_name: Chidananda
- first_name: Oliver
full_name: Schweins, Oliver
last_name: Schweins
citation:
ama: Wallscheid O, Peitz S, Stenner J, et al. ElectricGrid.jl - A Julia-based modeling
and simulationtool for power electronics-driven electric energy grids. Journal
of Open Source Software. 2023;8(89). doi:10.21105/joss.05616
apa: Wallscheid, O., Peitz, S., Stenner, J., Weber, D., Boshoff, S., Meyer, M.,
Chidananda, V., & Schweins, O. (2023). ElectricGrid.jl - A Julia-based modeling
and simulationtool for power electronics-driven electric energy grids. Journal
of Open Source Software, 8(89), Article 5616. https://doi.org/10.21105/joss.05616
bibtex: '@article{Wallscheid_Peitz_Stenner_Weber_Boshoff_Meyer_Chidananda_Schweins_2023,
title={ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven
electric energy grids}, volume={8}, DOI={10.21105/joss.05616},
number={895616}, journal={Journal of Open Source Software}, publisher={The Open
Journal}, author={Wallscheid, Oliver and Peitz, Sebastian and Stenner, Jan and
Weber, Daniel and Boshoff, Septimus and Meyer, Marvin and Chidananda, Vikas and
Schweins, Oliver}, year={2023} }'
chicago: Wallscheid, Oliver, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus
Boshoff, Marvin Meyer, Vikas Chidananda, and Oliver Schweins. “ElectricGrid.Jl
- A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric
Energy Grids.” Journal of Open Source Software 8, no. 89 (2023). https://doi.org/10.21105/joss.05616.
ieee: 'O. Wallscheid et al., “ElectricGrid.jl - A Julia-based modeling and
simulationtool for power electronics-driven electric energy grids,” Journal
of Open Source Software, vol. 8, no. 89, Art. no. 5616, 2023, doi: 10.21105/joss.05616.'
mla: Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool
for Power Electronics-Driven Electric Energy Grids.” Journal of Open Source
Software, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:10.21105/joss.05616.
short: O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda,
O. Schweins, Journal of Open Source Software 8 (2023).
date_created: 2023-09-04T11:05:03Z
date_updated: 2023-09-04T11:06:06Z
department:
- _id: '655'
- _id: '52'
doi: 10.21105/joss.05616
intvolume: ' 8'
issue: '89'
keyword:
- General Earth and Planetary Sciences
- General Environmental Science
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://joss.theoj.org/papers/10.21105/joss.05616
oa: '1'
publication: Journal of Open Source Software
publication_identifier:
issn:
- 2475-9066
publication_status: published
publisher: The Open Journal
status: public
title: ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven
electric energy grids
type: journal_article
user_id: '47427'
volume: 8
year: '2023'
...
---
_id: '46186'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: Höper L, Schulte C. Paradigmenwechsel vom klassischen zum datengetriebenen
Problemlösen im Informatikunterricht. MNU journal. 2023;76(4):314-320.
apa: Höper, L., & Schulte, C. (2023). Paradigmenwechsel vom klassischen zum
datengetriebenen Problemlösen im Informatikunterricht. MNU journal, 76(4),
314–320.
bibtex: '@article{Höper_Schulte_2023, title={Paradigmenwechsel vom klassischen zum
datengetriebenen Problemlösen im Informatikunterricht}, volume={76}, number={4},
journal={MNU journal}, publisher={Verlag Klaus Seeberger}, author={Höper, Lukas
and Schulte, Carsten}, year={2023}, pages={314–320} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen
zum datengetriebenen Problemlösen im Informatikunterricht.” MNU journal
76, no. 4 (2023): 314–20.'
ieee: L. Höper and C. Schulte, “Paradigmenwechsel vom klassischen zum datengetriebenen
Problemlösen im Informatikunterricht,” MNU journal, vol. 76, no. 4, pp.
314–320, 2023.
mla: Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen zum datengetriebenen
Problemlösen im Informatikunterricht.” MNU journal, vol. 76, no. 4, Verlag
Klaus Seeberger, 2023, pp. 314–20.
short: L. Höper, C. Schulte, MNU journal 76 (2023) 314–320.
date_created: 2023-07-28T05:58:37Z
date_updated: 2023-09-06T14:12:35Z
ddc:
- '370'
department:
- _id: '67'
file:
- access_level: open_access
content_type: application/pdf
creator: hoeper
date_created: 2023-07-28T05:56:19Z
date_updated: 2023-09-06T14:10:52Z
file_id: '46187'
file_name: MNU_journal_04_314-320.pdf
file_size: 615313
relation: main_file
file_date_updated: 2023-09-06T14:10:52Z
has_accepted_license: '1'
intvolume: ' 76'
issue: '4'
language:
- iso: ger
oa: '1'
page: 314-320
publication: MNU journal
publication_identifier:
issn:
- 0025-5866
publisher: Verlag Klaus Seeberger
related_material:
link:
- relation: other
url: https://www.mnu.de/zeitschriften/795-mnu-heft-2023-04
status: public
title: Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht
type: journal_article
user_id: '58041'
volume: 76
year: '2023'
...
---
_id: '35014'
author:
- first_name: Johannes
full_name: Blömer, Johannes
id: '23'
last_name: Blömer
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Henrik
full_name: Bröcher, Henrik
id: '41047'
last_name: Bröcher
citation:
ama: 'Blömer J, Bobolz J, Bröcher H. On the impossibility of surviving (iterated)
deletion of weakly dominated strategies in rational MPC. In: ; 2023.'
apa: Blömer, J., Bobolz, J., & Bröcher, H. (2023). On the impossibility of
surviving (iterated) deletion of weakly dominated strategies in rational MPC.
TCC 2023, Taipeh, Taiwan.
bibtex: '@inproceedings{Blömer_Bobolz_Bröcher_2023, title={On the impossibility
of surviving (iterated) deletion of weakly dominated strategies in rational MPC},
author={Blömer, Johannes and Bobolz, Jan and Bröcher, Henrik}, year={2023} }'
chicago: Blömer, Johannes, Jan Bobolz, and Henrik Bröcher. “On the Impossibility
of Surviving (Iterated) Deletion of Weakly Dominated Strategies in Rational MPC,”
2023.
ieee: J. Blömer, J. Bobolz, and H. Bröcher, “On the impossibility of surviving (iterated)
deletion of weakly dominated strategies in rational MPC,” presented at the TCC
2023, Taipeh, Taiwan, 2023.
mla: Blömer, Johannes, et al. On the Impossibility of Surviving (Iterated) Deletion
of Weakly Dominated Strategies in Rational MPC. 2023.
short: 'J. Blömer, J. Bobolz, H. Bröcher, in: 2023.'
conference:
end_date: 2023-12-02
location: Taipeh, Taiwan
name: TCC 2023
start_date: 2023-11-29
date_created: 2022-12-28T16:02:11Z
date_updated: 2023-09-07T10:01:00Z
department:
- _id: '34'
- _id: '64'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2022/1762
oa: '1'
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
status: public
title: On the impossibility of surviving (iterated) deletion of weakly dominated strategies
in rational MPC
type: conference
user_id: '41047'
year: '2023'
...
---
_id: '43458'
author:
- first_name: Johannes
full_name: Blömer, Johannes
id: '23'
last_name: Blömer
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Laurens Alexander
full_name: Porzenheim, Laurens Alexander
id: '47434'
last_name: Porzenheim
citation:
ama: 'Blömer J, Bobolz J, Porzenheim LA. A Generic Construction of an Anonymous
Reputation System and Instantiations from Lattices. In: ; 2023.'
apa: Blömer, J., Bobolz, J., & Porzenheim, L. A. (2023). A Generic Construction
of an Anonymous Reputation System and Instantiations from Lattices. Asiacrypt
2023, Guangzhou, China.
bibtex: '@inproceedings{Blömer_Bobolz_Porzenheim_2023, title={A Generic Construction
of an Anonymous Reputation System and Instantiations from Lattices}, author={Blömer,
Johannes and Bobolz, Jan and Porzenheim, Laurens Alexander}, year={2023} }'
chicago: Blömer, Johannes, Jan Bobolz, and Laurens Alexander Porzenheim. “A Generic
Construction of an Anonymous Reputation System and Instantiations from Lattices,”
2023.
ieee: J. Blömer, J. Bobolz, and L. A. Porzenheim, “A Generic Construction of an
Anonymous Reputation System and Instantiations from Lattices,” presented at the
Asiacrypt 2023, Guangzhou, China, 2023.
mla: Blömer, Johannes, et al. A Generic Construction of an Anonymous Reputation
System and Instantiations from Lattices. 2023.
short: 'J. Blömer, J. Bobolz, L.A. Porzenheim, in: 2023.'
conference:
end_date: 2023-12-08
location: Guangzhou, China
name: Asiacrypt 2023
start_date: 2023-12-04
date_created: 2023-04-12T08:18:41Z
date_updated: 2023-09-07T09:53:26Z
department:
- _id: '64'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2023/464
oa: '1'
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
status: public
title: A Generic Construction of an Anonymous Reputation System and Instantiations
from Lattices
type: conference
user_id: '47434'
year: '2023'
...