---
_id: '45886'
author:
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Steffen
full_name: Becker, Steffen
last_name: Becker
- first_name: Matthias
full_name: Becker, Matthias
last_name: Becker
- first_name: Cedric
full_name: Richter, Cedric
id: '50003'
last_name: Richter
- first_name: Arnab
full_name: Sharma, Arnab
id: '67200'
last_name: Sharma
citation:
ama: 'Wehrheim H, Hüllermeier E, Becker S, Becker M, Richter C, Sharma A. Composition
Analysis in Unknown Contexts. In: Haake C-J, Meyer auf der Heide F, Platzner M,
Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services
in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts.
Heinz Nixdorf Institut, Universität Paderborn; 2023:105-123. doi:10.5281/zenodo.8068510'
apa: Wehrheim, H., Hüllermeier, E., Becker, S., Becker, M., Richter, C., & Sharma,
A. (2023). Composition Analysis in Unknown Contexts. In C.-J. Haake, F. Meyer
auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly
Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp.
105–123). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068510
bibtex: '@inbook{Wehrheim_Hüllermeier_Becker_Becker_Richter_Sharma_2023, place={Paderborn},
series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Composition
Analysis in Unknown Contexts}, volume={412}, DOI={10.5281/zenodo.8068510},
booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Wehrheim, Heike
and Hüllermeier, Eyke and Becker, Steffen and Becker, Matthias and Richter, Cedric
and Sharma, Arnab}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm
and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023},
pages={105–123}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts}
}'
chicago: 'Wehrheim, Heike, Eyke Hüllermeier, Steffen Becker, Matthias Becker, Cedric
Richter, and Arnab Sharma. “Composition Analysis in Unknown Contexts.” In On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen
Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike
Wehrheim, 412:105–23. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn:
Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068510.'
ieee: 'H. Wehrheim, E. Hüllermeier, S. Becker, M. Becker, C. Richter, and A. Sharma,
“Composition Analysis in Unknown Contexts,” in On-The-Fly Computing -- Individualized
IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide,
M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut,
Universität Paderborn, 2023, pp. 105–123.'
mla: Wehrheim, Heike, et al. “Composition Analysis in Unknown Contexts.” On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen
Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp.
105–23, doi:10.5281/zenodo.8068510.
short: 'H. Wehrheim, E. Hüllermeier, S. Becker, M. Becker, C. Richter, A. Sharma,
in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim
(Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets,
Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 105–123.'
date_created: 2023-07-07T07:56:08Z
date_updated: 2023-07-07T11:19:40Z
ddc:
- '004'
department:
- _id: '7'
doi: 10.5281/zenodo.8068510
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
file:
- access_level: open_access
content_type: application/pdf
creator: florida
date_created: 2023-07-07T07:55:57Z
date_updated: 2023-07-07T11:19:40Z
file_id: '45887'
file_name: B3-Chapter-SFB-Buch-Final.pdf
file_size: 370888
relation: main_file
file_date_updated: 2023-07-07T11:19:40Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: 105-123
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '11'
name: 'SFB 901 - B3: SFB 901 - Subproject B3'
publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: Composition Analysis in Unknown Contexts
type: book_chapter
user_id: '477'
volume: 412
year: '2023'
...
---
_id: '45911'
abstract:
- lang: eng
text: "Label noise poses an important challenge in machine learning, especially
in\r\ndeep learning, in which large models with high expressive power dominate
the\r\nfield. Models of that kind are prone to memorizing incorrect labels, thereby\r\nharming
generalization performance. Many methods have been proposed to address\r\nthis
problem, including robust loss functions and more complex label correction\r\napproaches.
Robust loss functions are appealing due to their simplicity, but\r\ntypically
lack flexibility, while label correction usually adds substantial\r\ncomplexity
to the training setup. In this paper, we suggest to address the\r\nshortcomings
of both methodologies by \"ambiguating\" the target information,\r\nadding additional,
complementary candidate labels in case the learner is not\r\nsufficiently convinced
of the observed training label. More precisely, we\r\nleverage the framework of
so-called superset learning to construct set-valued\r\ntargets based on a confidence
threshold, which deliver imprecise yet more\r\nreliable beliefs about the ground-truth,
effectively helping the learner to\r\nsuppress the memorization effect. In an
extensive empirical evaluation, our\r\nmethod demonstrates favorable learning
behavior on synthetic and real-world\r\nnoise, confirming the effectiveness in
detecting and correcting erroneous\r\ntraining labels."
author:
- first_name: Julian
full_name: Lienen, Julian
id: '44040'
last_name: Lienen
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Lienen J, Hüllermeier E. Mitigating Label Noise through Data Ambiguation. arXiv:230513764.
Published online 2023.
apa: Lienen, J., & Hüllermeier, E. (2023). Mitigating Label Noise through Data
Ambiguation. In arXiv:2305.13764.
bibtex: '@article{Lienen_Hüllermeier_2023, title={Mitigating Label Noise through
Data Ambiguation}, journal={arXiv:2305.13764}, author={Lienen, Julian and Hüllermeier,
Eyke}, year={2023} }'
chicago: Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data
Ambiguation.” ArXiv:2305.13764, 2023.
ieee: J. Lienen and E. Hüllermeier, “Mitigating Label Noise through Data Ambiguation,”
arXiv:2305.13764. 2023.
mla: Lienen, Julian, and Eyke Hüllermeier. “Mitigating Label Noise through Data
Ambiguation.” ArXiv:2305.13764, 2023.
short: J. Lienen, E. Hüllermeier, ArXiv:2305.13764 (2023).
date_created: 2023-07-09T11:25:48Z
date_updated: 2023-07-09T11:26:21Z
external_id:
arxiv:
- '2305.13764'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2305.13764
oa: '1'
publication: arXiv:2305.13764
status: public
title: Mitigating Label Noise through Data Ambiguation
type: preprint
user_id: '44040'
year: '2023'
...
---
_id: '45880'
author:
- first_name: Alina
full_name: Elrich, Alina
id: '28948'
last_name: Elrich
- first_name: Daniel
full_name: Kaimann, Daniel
id: '18949'
last_name: Kaimann
- first_name: René
full_name: Fahr, René
id: '111'
last_name: Fahr
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Behnud
full_name: Mir Djawadi, Behnud
id: '26032'
last_name: Mir Djawadi
orcid: 0000-0002-6271-5912
- first_name: Michelle
full_name: Müller, Michelle
id: '50286'
last_name: Müller
- first_name: Martin
full_name: Poniatowski, Martin
id: '32441'
last_name: Poniatowski
- first_name: Sabrina
full_name: Schäfers, Sabrina
id: '38794'
last_name: Schäfers
- first_name: Bernd
full_name: Frick, Bernd
id: '16019'
last_name: Frick
citation:
ama: 'Elrich A, Kaimann D, Fahr R, et al. Empirical Analysis in Markets for OTF
Services. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim
H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets.
Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut,
Universität Paderborn; 2023:45-64. doi:10.5281/zenodo.8068430'
apa: Elrich, A., Kaimann, D., Fahr, R., Kundisch, D., Mir Djawadi, B., Müller, M.,
Poniatowski, M., Schäfers, S., & Frick, B. (2023). Empirical Analysis in Markets
for OTF Services. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth,
& H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services
in dynamic markets (Vol. 412, pp. 45–64). Heinz Nixdorf Institut, Universität
Paderborn. https://doi.org/10.5281/zenodo.8068430
bibtex: '@inbook{Elrich_Kaimann_Fahr_Kundisch_Mir Djawadi_Müller_Poniatowski_Schäfers_Frick_2023,
place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts},
title={Empirical Analysis in Markets for OTF Services}, volume={412}, DOI={10.5281/zenodo.8068430}, booktitle={On-The-Fly
Computing -- Individualized IT-services in dynamic markets}, publisher={Heinz
Nixdorf Institut, Universität Paderborn}, author={Elrich, Alina and Kaimann, Daniel
and Fahr, René and Kundisch, Dennis and Mir Djawadi, Behnud and Müller, Michelle
and Poniatowski, Martin and Schäfers, Sabrina and Frick, Bernd}, editor={Haake,
Claus-Jochen and Meyer auf der Heide, Friedhelm and Platzner, Marco and Wachsmuth,
Henning and Wehrheim, Heike}, year={2023}, pages={45–64}, collection={Verlagsschriftenreihe
des Heinz Nixdorf Instituts} }'
chicago: 'Elrich, Alina, Daniel Kaimann, René Fahr, Dennis Kundisch, Behnud Mir
Djawadi, Michelle Müller, Martin Poniatowski, Sabrina Schäfers, and Bernd Frick.
“Empirical Analysis in Markets for OTF Services.” In On-The-Fly Computing --
Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake,
Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim,
412:45–64. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz
Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068430.'
ieee: 'A. Elrich et al., “Empirical Analysis in Markets for OTF Services,”
in On-The-Fly Computing -- Individualized IT-services in dynamic markets,
vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and
H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023,
pp. 45–64.'
mla: Elrich, Alina, et al. “Empirical Analysis in Markets for OTF Services.” On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen
Haake et al., vol. 412, Heinz Nixdorf Institut, Universität Paderborn, 2023, pp.
45–64, doi:10.5281/zenodo.8068430.
short: 'A. Elrich, D. Kaimann, R. Fahr, D. Kundisch, B. Mir Djawadi, M. Müller,
M. Poniatowski, S. Schäfers, B. Frick, in: C.-J. Haake, F. Meyer auf der Heide,
M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized
IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn,
Paderborn, 2023, pp. 45–64.'
date_created: 2023-07-07T07:15:06Z
date_updated: 2023-07-12T07:25:55Z
ddc:
- '004'
department:
- _id: '19'
doi: 10.5281/zenodo.8068430
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
file:
- access_level: open_access
content_type: application/pdf
creator: florida
date_created: 2023-07-07T07:14:49Z
date_updated: 2023-07-07T11:22:39Z
file_id: '45881'
file_name: A4-Chapter-SFB-Buch-Final.pdf
file_size: 513106
relation: main_file
file_date_updated: 2023-07-07T11:22:39Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: 45-64
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen
(Subproject A4)'
publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: Empirical Analysis in Markets for OTF Services
type: book_chapter
user_id: '15504'
volume: 412
year: '2023'
...
---
_id: '45786'
abstract:
- lang: eng
text: Intending to counteract Klein’s second discontinuity in teacher education,
we explored and applied the innovation of “interface ePortfolio” in the context
of a geometry course for preservice teachers (PSTs). The tool offers the possibility
of implementing the design principle of profession orientation. In the article,
we theoretically clarify what we understand by this principle and locate our innovative
concept against this theoretical background. We empirically investigate the extent
to which counteraction against the second discontinuity is successful by analyzing
reflection texts created in the interface ePortfolio, focusing on PSTs’ perspectives.
Our qualitative content analysis shows that most of them perceive the innovation
as helpful in the intended sense and indicates that the course concept, in general,
and the interface ePortfolio, in particular, have helped establish relevant links
between the course content and their later work as teachers.
article_type: original
author:
- first_name: Max
full_name: Hoffmann, Max
id: '32202'
last_name: Hoffmann
orcid: 0000-0002-6964-7123
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: Hoffmann M, Biehler R. Implementing profession orientation as a design principle
for overcoming Klein’s second discontinuity – preservice teacher’s perspectives
on interface activities in the context of a geometry course. ZDM – Mathematics
Education. Published online 2023. doi:10.1007/s11858-023-01505-3
apa: Hoffmann, M., & Biehler, R. (2023). Implementing profession orientation
as a design principle for overcoming Klein’s second discontinuity – preservice
teacher’s perspectives on interface activities in the context of a geometry course.
ZDM – Mathematics Education. https://doi.org/10.1007/s11858-023-01505-3
bibtex: '@article{Hoffmann_Biehler_2023, title={Implementing profession orientation
as a design principle for overcoming Klein’s second discontinuity – preservice
teacher’s perspectives on interface activities in the context of a geometry course},
DOI={10.1007/s11858-023-01505-3},
journal={ZDM – Mathematics Education}, publisher={Springer}, author={Hoffmann,
Max and Biehler, Rolf}, year={2023} }'
chicago: Hoffmann, Max, and Rolf Biehler. “Implementing Profession Orientation as
a Design Principle for Overcoming Klein’s Second Discontinuity – Preservice Teacher’s
Perspectives on Interface Activities in the Context of a Geometry Course.” ZDM
– Mathematics Education, 2023. https://doi.org/10.1007/s11858-023-01505-3.
ieee: 'M. Hoffmann and R. Biehler, “Implementing profession orientation as a design
principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives
on interface activities in the context of a geometry course,” ZDM – Mathematics
Education, 2023, doi: 10.1007/s11858-023-01505-3.'
mla: Hoffmann, Max, and Rolf Biehler. “Implementing Profession Orientation as a
Design Principle for Overcoming Klein’s Second Discontinuity – Preservice Teacher’s
Perspectives on Interface Activities in the Context of a Geometry Course.” ZDM
– Mathematics Education, Springer, 2023, doi:10.1007/s11858-023-01505-3.
short: M. Hoffmann, R. Biehler, ZDM – Mathematics Education (2023).
date_created: 2023-06-27T11:45:25Z
date_updated: 2023-07-13T09:41:20Z
ddc:
- '510'
- '370'
department:
- _id: '97'
- _id: '643'
doi: 10.1007/s11858-023-01505-3
file:
- access_level: closed
content_type: application/pdf
creator: maxh
date_created: 2023-07-13T09:40:02Z
date_updated: 2023-07-13T09:40:02Z
file_id: '46041'
file_name: s11858-023-01505-3.pdf
file_size: 1460246
relation: main_file
success: 1
file_date_updated: 2023-07-13T09:40:02Z
has_accepted_license: '1'
keyword:
- General Mathematics
- Education
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/article/10.1007/s11858-023-01505-3
oa: '1'
publication: ZDM – Mathematics Education
publication_identifier:
issn:
- 1863-9690
- 1863-9704
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: Implementing profession orientation as a design principle for overcoming Klein’s
second discontinuity – preservice teacher’s perspectives on interface activities
in the context of a geometry course
type: journal_article
user_id: '32202'
year: '2023'
...
---
_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: '45893'
author:
- first_name: Tim
full_name: Hansmeier, Tim
id: '49992'
last_name: Hansmeier
orcid: 0000-0003-1377-3339
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Marius
full_name: Meyer, Marius
id: '40778'
last_name: Meyer
- first_name: Heinrich
full_name: Riebler, Heinrich
id: '8961'
last_name: Riebler
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
citation:
ama: 'Hansmeier T, Kenter T, Meyer M, Riebler H, Platzner M, Plessl C. Compute Centers
I: Heterogeneous Execution Environments. In: Haake C-J, Meyer auf der Heide F,
Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized
IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf
Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:165-182. doi:10.5281/zenodo.8068642'
apa: 'Hansmeier, T., Kenter, T., Meyer, M., Riebler, H., Platzner, M., & Plessl,
C. (2023). Compute Centers I: Heterogeneous Execution Environments. In C.-J. Haake,
F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly
Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp.
165–182). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068642'
bibtex: '@inbook{Hansmeier_Kenter_Meyer_Riebler_Platzner_Plessl_2023, place={Paderborn},
series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Compute Centers
I: Heterogeneous Execution Environments}, volume={412}, DOI={10.5281/zenodo.8068642},
booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Hansmeier,
Tim and Kenter, Tobias and Meyer, Marius and Riebler, Heinrich and Platzner, Marco
and Plessl, Christian}, editor={Haake, Claus-Jochen and Meyer auf der Heide, Friedhelm
and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023},
pages={165–182}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts}
}'
chicago: 'Hansmeier, Tim, Tobias Kenter, Marius Meyer, Heinrich Riebler, Marco Platzner,
and Christian Plessl. “Compute Centers I: Heterogeneous Execution Environments.”
In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets,
edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning
Wachsmuth, and Heike Wehrheim, 412:165–82. Verlagsschriftenreihe Des Heinz Nixdorf
Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068642.'
ieee: 'T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, and C. Plessl,
“Compute Centers I: Heterogeneous Execution Environments,” in On-The-Fly Computing
-- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F.
Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn:
Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 165–182.'
mla: 'Hansmeier, Tim, et al. “Compute Centers I: Heterogeneous Execution Environments.”
On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets,
edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut, Universität
Paderborn, 2023, pp. 165–82, doi:10.5281/zenodo.8068642.'
short: 'T. Hansmeier, T. Kenter, M. Meyer, H. Riebler, M. Platzner, C. Plessl, in:
C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.),
On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf
Institut, Universität Paderborn, Paderborn, 2023, pp. 165–182.'
date_created: 2023-07-07T08:15:45Z
date_updated: 2023-07-28T09:38:14Z
ddc:
- '004'
department:
- _id: '7'
- _id: '27'
- _id: '518'
doi: 10.5281/zenodo.8068642
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
file:
- access_level: open_access
content_type: application/pdf
creator: florida
date_created: 2023-07-07T08:15:35Z
date_updated: 2023-07-07T11:17:33Z
file_id: '45894'
file_name: C2-Chapter-SFB-Buch-Final.pdf
file_size: 2288788
relation: main_file
file_date_updated: 2023-07-07T11:17:33Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: 165-182
place: Paderborn
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '14'
grant_number: '160364472'
name: 'SFB 901 - C2: SFB 901 - On-The-Fly Compute Centers I: Heterogene Ausführungsumgebungen
(Subproject C2)'
publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: 'Compute Centers I: Heterogeneous Execution Environments'
type: book_chapter
user_id: '3145'
volume: 412
year: '2023'
...
---
_id: '46190'
author:
- first_name: Jan-Oliver
full_name: Opdenhövel, Jan-Oliver
last_name: Opdenhövel
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
citation:
ama: 'Opdenhövel J-O, Plessl C, Kenter T. Mutation Tree Reconstruction of Tumor
Cells on FPGAs Using a Bit-Level Matrix Representation. In: Proceedings of
the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable
Technologies. ACM; 2023. doi:10.1145/3597031.3597050'
apa: Opdenhövel, J.-O., Plessl, C., & Kenter, T. (2023). Mutation Tree Reconstruction
of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. Proceedings
of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable
Technologies. https://doi.org/10.1145/3597031.3597050
bibtex: '@inproceedings{Opdenhövel_Plessl_Kenter_2023, title={Mutation Tree Reconstruction
of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation}, DOI={10.1145/3597031.3597050},
booktitle={Proceedings of the 13th International Symposium on Highly Efficient
Accelerators and Reconfigurable Technologies}, publisher={ACM}, author={Opdenhövel,
Jan-Oliver and Plessl, Christian and Kenter, Tobias}, year={2023} }'
chicago: Opdenhövel, Jan-Oliver, Christian Plessl, and Tobias Kenter. “Mutation
Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation.”
In Proceedings of the 13th International Symposium on Highly Efficient Accelerators
and Reconfigurable Technologies. ACM, 2023. https://doi.org/10.1145/3597031.3597050.
ieee: 'J.-O. Opdenhövel, C. Plessl, and T. Kenter, “Mutation Tree Reconstruction
of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation,” 2023, doi: 10.1145/3597031.3597050.'
mla: Opdenhövel, Jan-Oliver, et al. “Mutation Tree Reconstruction of Tumor Cells
on FPGAs Using a Bit-Level Matrix Representation.” Proceedings of the 13th
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies,
ACM, 2023, doi:10.1145/3597031.3597050.
short: 'J.-O. Opdenhövel, C. Plessl, T. Kenter, in: Proceedings of the 13th International
Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM,
2023.'
date_created: 2023-07-28T09:49:23Z
date_updated: 2023-07-28T09:58:06Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3597031.3597050
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/pdf/10.1145/3597031.3597050
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the 13th International Symposium on Highly Efficient Accelerators
and Reconfigurable Technologies
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix
Representation
type: conference
user_id: '3145'
year: '2023'
...
---
_id: '46188'
author:
- first_name: Jennifer
full_name: Faj, Jennifer
id: '78722'
last_name: Faj
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Sara
full_name: Faghih-Naini, Sara
last_name: Faghih-Naini
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Vadym
full_name: Aizinger, Vadym
last_name: Aizinger
citation:
ama: 'Faj J, Kenter T, Faghih-Naini S, Plessl C, Aizinger V. Scalable Multi-FPGA
Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes.
In: Proceedings of the Platform for Advanced Scientific Computing Conference.
ACM; 2023. doi:10.1145/3592979.3593407'
apa: Faj, J., Kenter, T., Faghih-Naini, S., Plessl, C., & Aizinger, V. (2023).
Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on
Unstructured Meshes. Proceedings of the Platform for Advanced Scientific Computing
Conference. https://doi.org/10.1145/3592979.3593407
bibtex: '@inproceedings{Faj_Kenter_Faghih-Naini_Plessl_Aizinger_2023, title={Scalable
Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured
Meshes}, DOI={10.1145/3592979.3593407},
booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference},
publisher={ACM}, author={Faj, Jennifer and Kenter, Tobias and Faghih-Naini, Sara
and Plessl, Christian and Aizinger, Vadym}, year={2023} }'
chicago: Faj, Jennifer, Tobias Kenter, Sara Faghih-Naini, Christian Plessl, and
Vadym Aizinger. “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water
Model on Unstructured Meshes.” In Proceedings of the Platform for Advanced
Scientific Computing Conference. ACM, 2023. https://doi.org/10.1145/3592979.3593407.
ieee: 'J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, and V. Aizinger, “Scalable
Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured
Meshes,” 2023, doi: 10.1145/3592979.3593407.'
mla: Faj, Jennifer, et al. “Scalable Multi-FPGA Design of a Discontinuous Galerkin
Shallow-Water Model on Unstructured Meshes.” Proceedings of the Platform for
Advanced Scientific Computing Conference, ACM, 2023, doi:10.1145/3592979.3593407.
short: 'J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, V. Aizinger, in: Proceedings
of the Platform for Advanced Scientific Computing Conference, ACM, 2023.'
date_created: 2023-07-28T09:42:14Z
date_updated: 2023-07-28T09:48:19Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3592979.3593407
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/pdf/10.1145/3592979.3593407
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the Platform for Advanced Scientific Computing Conference
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model
on Unstructured Meshes
type: conference
user_id: '3145'
year: '2023'
...
---
_id: '46189'
author:
- first_name: Charles
full_name: Prouveur, Charles
last_name: Prouveur
- first_name: Matthieu
full_name: Haefele, Matthieu
last_name: Haefele
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Nils
full_name: Voss, Nils
last_name: Voss
citation:
ama: 'Prouveur C, Haefele M, Kenter T, Voss N. FPGA Acceleration for HPC Supercapacitor
Simulations. In: Proceedings of the Platform for Advanced Scientific Computing
Conference. ACM; 2023. doi:10.1145/3592979.3593419'
apa: Prouveur, C., Haefele, M., Kenter, T., & Voss, N. (2023). FPGA Acceleration
for HPC Supercapacitor Simulations. Proceedings of the Platform for Advanced
Scientific Computing Conference. https://doi.org/10.1145/3592979.3593419
bibtex: '@inproceedings{Prouveur_Haefele_Kenter_Voss_2023, title={FPGA Acceleration
for HPC Supercapacitor Simulations}, DOI={10.1145/3592979.3593419},
booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference},
publisher={ACM}, author={Prouveur, Charles and Haefele, Matthieu and Kenter, Tobias
and Voss, Nils}, year={2023} }'
chicago: Prouveur, Charles, Matthieu Haefele, Tobias Kenter, and Nils Voss. “FPGA
Acceleration for HPC Supercapacitor Simulations.” In Proceedings of the Platform
for Advanced Scientific Computing Conference. ACM, 2023. https://doi.org/10.1145/3592979.3593419.
ieee: 'C. Prouveur, M. Haefele, T. Kenter, and N. Voss, “FPGA Acceleration for HPC
Supercapacitor Simulations,” 2023, doi: 10.1145/3592979.3593419.'
mla: Prouveur, Charles, et al. “FPGA Acceleration for HPC Supercapacitor Simulations.”
Proceedings of the Platform for Advanced Scientific Computing Conference,
ACM, 2023, doi:10.1145/3592979.3593419.
short: 'C. Prouveur, M. Haefele, T. Kenter, N. Voss, in: Proceedings of the Platform
for Advanced Scientific Computing Conference, ACM, 2023.'
date_created: 2023-07-28T09:46:25Z
date_updated: 2023-07-28T09:58:16Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3592979.3593419
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/pdf/10.1145/3592979.3593419
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the Platform for Advanced Scientific Computing Conference
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: FPGA Acceleration for HPC Supercapacitor Simulations
type: conference
user_id: '3145'
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: '42163'
abstract:
- lang: eng
text: 'The article shows how to learn models of dynamical systems from data which
are governed by an unknown variational PDE. Rather than employing reduction techniques,
we learn a discrete field theory governed by a discrete Lagrangian density $L_d$
that is modelled as a neural network. Careful regularisation of the loss function
for training $L_d$ is necessary to obtain a field theory that is suitable for
numerical computations: we derive a regularisation term which optimises the solvability
of the discrete Euler--Lagrange equations. Secondly, we develop a method to find
solutions to machine learned discrete field theories which constitute travelling
waves of the underlying continuous PDE.'
author:
- 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
citation:
ama: 'Offen C, Ober-Blöbaum S. Learning discrete Lagrangians for variational PDEs
from data and detection of travelling waves. In: Nielsen F, Barbaresco F, eds.
Geometric Science of Information. Vol 14071. Lecture Notes in Computer
Science (LNCS). Springer, Cham.; 2023:569-579. doi:10.1007/978-3-031-38271-0_57'
apa: Offen, C., & Ober-Blöbaum, S. (2023). Learning discrete Lagrangians for
variational PDEs from data and detection of travelling waves. In F. Nielsen &
F. Barbaresco (Eds.), Geometric Science of Information (Vol. 14071, pp.
569–579). Springer, Cham. https://doi.org/10.1007/978-3-031-38271-0_57
bibtex: '@inproceedings{Offen_Ober-Blöbaum_2023, series={Lecture Notes in Computer
Science (LNCS)}, title={Learning discrete Lagrangians for variational PDEs from
data and detection of travelling waves}, volume={14071}, DOI={10.1007/978-3-031-38271-0_57},
booktitle={Geometric Science of Information}, publisher={Springer, Cham.}, author={Offen,
Christian and Ober-Blöbaum, Sina}, editor={Nielsen, F and Barbaresco, F}, year={2023},
pages={569–579}, collection={Lecture Notes in Computer Science (LNCS)} }'
chicago: Offen, Christian, and Sina Ober-Blöbaum. “Learning Discrete Lagrangians
for Variational PDEs from Data and Detection of Travelling Waves.” In Geometric
Science of Information, edited by F Nielsen and F Barbaresco, 14071:569–79.
Lecture Notes in Computer Science (LNCS). Springer, Cham., 2023. https://doi.org/10.1007/978-3-031-38271-0_57.
ieee: 'C. Offen and S. Ober-Blöbaum, “Learning discrete Lagrangians for variational
PDEs from data and detection of travelling waves,” in Geometric Science of
Information, Saint-Malo, Palais du Grand Large, France, 2023, vol. 14071,
pp. 569–579, doi: 10.1007/978-3-031-38271-0_57.'
mla: Offen, Christian, and Sina Ober-Blöbaum. “Learning Discrete Lagrangians for
Variational PDEs from Data and Detection of Travelling Waves.” Geometric Science
of Information, edited by F Nielsen and F Barbaresco, vol. 14071, Springer,
Cham., 2023, pp. 569–79, doi:10.1007/978-3-031-38271-0_57.
short: 'C. Offen, S. Ober-Blöbaum, in: F. Nielsen, F. Barbaresco (Eds.), Geometric
Science of Information, Springer, Cham., 2023, pp. 569–579.'
conference:
end_date: 2023-09-01
location: Saint-Malo, Palais du Grand Large, France
name: ' GSI''23 6th International Conference on Geometric Science of Information'
start_date: 2023-08-30
date_created: 2023-02-16T11:32:48Z
date_updated: 2023-08-10T08:34:04Z
ddc:
- '510'
department:
- _id: '636'
doi: 10.1007/978-3-031-38271-0_57
editor:
- first_name: F
full_name: Nielsen, F
last_name: Nielsen
- first_name: F
full_name: Barbaresco, F
last_name: Barbaresco
external_id:
arxiv:
- '2302.08232 '
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2023-08-02T12:04:17Z
date_updated: 2023-08-02T12:04:17Z
description: |-
The article shows how to learn models of dynamical systems
from data which are governed by an unknown variational PDE. Rather
than employing reduction techniques, we learn a discrete field theory
governed by a discrete Lagrangian density Ld that is modelled as a neural network. Careful regularisation of the loss function for training Ld is
necessary to obtain a field theory that is suitable for numerical computations: we derive a regularisation term which optimises the solvability of
the discrete Euler–Lagrange equations. Secondly, we develop a method to
find solutions to machine learned discrete field theories which constitute
travelling waves of the underlying continuous PDE.
file_id: '46273'
file_name: LDensityLearning.pdf
file_size: 1938962
relation: main_file
title: Learning discrete Lagrangians for variational PDEs from data and detection
of travelling waves
file_date_updated: 2023-08-02T12:04:17Z
has_accepted_license: '1'
intvolume: ' 14071'
keyword:
- System identification
- discrete Lagrangians
- travelling waves
language:
- iso: eng
oa: '1'
page: 569-579
publication: Geometric Science of Information
publication_identifier:
eisbn:
- 978-3-031-38271-0
publication_status: published
publisher: Springer, Cham.
quality_controlled: '1'
related_material:
link:
- description: GitHub
relation: software
url: https://github.com/Christian-Offen/LagrangianDensityML
series_title: Lecture Notes in Computer Science (LNCS)
status: public
title: Learning discrete Lagrangians for variational PDEs from data and detection
of travelling waves
type: conference
user_id: '85279'
volume: 14071
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'
...