---
_id: '55483'
author:
- first_name: Stefan
full_name: Elit, Stefan
id: '105'
last_name: Elit
orcid: 0000-0002-4719-1073
citation:
ama: 'Elit S. Klopstocks lyrisches Spätwerk. Perspektivwechsel und Blickerweiterungen.
In: Hagestedt L, Nebrig A, eds. „Wer wird nicht einen Klopstock loben?“ Friedrich
Gottlieb Klopstocks poetische Innovationen und ihre produktive Rezeption.
Abhandlungen zur Literaturwissenschaft. ; 2024:187-199. doi:10.1007/978-3-662-68653-9_8'
apa: Elit, S. (2024). Klopstocks lyrisches Spätwerk. Perspektivwechsel und Blickerweiterungen.
In L. Hagestedt & A. Nebrig (Eds.), „Wer wird nicht einen Klopstock loben?“
Friedrich Gottlieb Klopstocks poetische Innovationen und ihre produktive Rezeption
(pp. 187–199). https://doi.org/10.1007/978-3-662-68653-9_8
bibtex: '@inbook{Elit_2024, series={Abhandlungen zur Literaturwissenschaft}, title={Klopstocks
lyrisches Spätwerk. Perspektivwechsel und Blickerweiterungen}, DOI={10.1007/978-3-662-68653-9_8},
booktitle={„Wer wird nicht einen Klopstock loben?“ Friedrich Gottlieb Klopstocks
poetische Innovationen und ihre produktive Rezeption}, author={Elit, Stefan},
editor={Hagestedt , Lutz and Nebrig, Alexander}, year={2024}, pages={187–199},
collection={Abhandlungen zur Literaturwissenschaft} }'
chicago: Elit, Stefan. “Klopstocks lyrisches Spätwerk. Perspektivwechsel und Blickerweiterungen.”
In „Wer wird nicht einen Klopstock loben?“ Friedrich Gottlieb Klopstocks poetische
Innovationen und ihre produktive Rezeption, edited by Lutz Hagestedt and
Alexander Nebrig, 187–99. Abhandlungen zur Literaturwissenschaft, 2024. https://doi.org/10.1007/978-3-662-68653-9_8.
ieee: S. Elit, “Klopstocks lyrisches Spätwerk. Perspektivwechsel und Blickerweiterungen,”
in „Wer wird nicht einen Klopstock loben?“ Friedrich Gottlieb Klopstocks poetische
Innovationen und ihre produktive Rezeption, L. Hagestedt and A. Nebrig, Eds.
2024, pp. 187–199.
mla: Elit, Stefan. “Klopstocks lyrisches Spätwerk. Perspektivwechsel und Blickerweiterungen.”
„Wer wird nicht einen Klopstock loben?“ Friedrich Gottlieb Klopstocks poetische
Innovationen und ihre produktive Rezeption, edited by Lutz Hagestedt and
Alexander Nebrig, 2024, pp. 187–99, doi:10.1007/978-3-662-68653-9_8.
short: 'S. Elit, in: L. Hagestedt , A. Nebrig (Eds.), „Wer wird nicht einen Klopstock
loben?“ Friedrich Gottlieb Klopstocks poetische Innovationen und ihre produktive
Rezeption, 2024, pp. 187–199.'
date_created: 2024-08-03T14:23:39Z
date_updated: 2024-08-03T14:23:54Z
department:
- _id: '465'
- _id: '5'
doi: 10.1007/978-3-662-68653-9_8
editor:
- first_name: Lutz
full_name: Hagestedt , Lutz
last_name: 'Hagestedt '
- first_name: Alexander
full_name: Nebrig, Alexander
last_name: Nebrig
language:
- iso: ger
page: 187-199
publication: „Wer wird nicht einen Klopstock loben?“ Friedrich Gottlieb Klopstocks
poetische Innovationen und ihre produktive Rezeption
publication_identifier:
isbn:
- 978-3-662-68652-2
publication_status: published
series_title: Abhandlungen zur Literaturwissenschaft
status: public
title: Klopstocks lyrisches Spätwerk. Perspektivwechsel und Blickerweiterungen
type: book_chapter
user_id: '105'
year: '2024'
...
---
_id: '53959'
abstract:
- lang: eng
text: In light of the growing interest in type inference research for Python, both
researchers and practitioners require a standardized process to assess the performance
of various type inference techniques. This paper introduces TypeEvalPy, a comprehensive
micro-benchmarking framework for evaluating type inference tools. TypeEvalPy contains
154 code snippets with 845 type annotations across 18 categories that target various
Python features. The framework manages the execution of containerized tools, transforms
inferred types into a standardized format, and produces meaningful metrics for
assessment. Through our analysis, we compare the performance of six type inference
tools, highlighting their strengths and limitations. Our findings provide a foundation
for further research and optimization in the domain of Python type inference.
author:
- first_name: Ashwin Prasad
full_name: Shivarpatna Venkatesh, Ashwin Prasad
id: '66637'
last_name: Shivarpatna Venkatesh
- first_name: Samkutty
full_name: Sabu, Samkutty
last_name: Sabu
- first_name: Jiawei
full_name: Wang, Jiawei
last_name: Wang
- first_name: Amir M.
full_name: Mir, Amir M.
last_name: Mir
- first_name: Li
full_name: Li, Li
last_name: Li
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Shivarpatna Venkatesh AP, Sabu S, Wang J, Mir AM, Li L, Bodden E. TypeEvalPy:
A Micro-benchmarking Framework for Python Type Inference Tools. In: Proceedings
of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion
Proceedings. ICSE-Companion 24. Association for Computing Machinery; 2024:49-53.
doi:10.1145/3639478.3640033'
apa: 'Shivarpatna Venkatesh, A. P., Sabu, S., Wang, J., Mir, A. M., Li, L., &
Bodden, E. (2024). TypeEvalPy: A Micro-benchmarking Framework for Python Type
Inference Tools. Proceedings of the 2024 IEEE/ACM 46th International Conference
on Software Engineering: Companion Proceedings, 49–53. https://doi.org/10.1145/3639478.3640033'
bibtex: '@inproceedings{Shivarpatna Venkatesh_Sabu_Wang_Mir_Li_Bodden_2024, place={New
York, NY, USA}, series={ICSE-Companion 24}, title={TypeEvalPy: A Micro-benchmarking
Framework for Python Type Inference Tools}, DOI={10.1145/3639478.3640033},
booktitle={Proceedings of the 2024 IEEE/ACM 46th International Conference on Software
Engineering: Companion Proceedings}, publisher={Association for Computing Machinery},
author={Shivarpatna Venkatesh, Ashwin Prasad and Sabu, Samkutty and Wang, Jiawei
and Mir, Amir M. and Li, Li and Bodden, Eric}, year={2024}, pages={49–53}, collection={ICSE-Companion
24} }'
chicago: 'Shivarpatna Venkatesh, Ashwin Prasad, Samkutty Sabu, Jiawei Wang, Amir
M. Mir, Li Li, and Eric Bodden. “TypeEvalPy: A Micro-Benchmarking Framework for
Python Type Inference Tools.” In Proceedings of the 2024 IEEE/ACM 46th International
Conference on Software Engineering: Companion Proceedings, 49–53. ICSE-Companion
24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3639478.3640033.'
ieee: 'A. P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A. M. Mir, L. Li, and E. Bodden,
“TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools,”
in Proceedings of the 2024 IEEE/ACM 46th International Conference on Software
Engineering: Companion Proceedings, Lisbon, Portugal, 2024, pp. 49–53, doi:
10.1145/3639478.3640033.'
mla: 'Shivarpatna Venkatesh, Ashwin Prasad, et al. “TypeEvalPy: A Micro-Benchmarking
Framework for Python Type Inference Tools.” Proceedings of the 2024 IEEE/ACM
46th International Conference on Software Engineering: Companion Proceedings,
Association for Computing Machinery, 2024, pp. 49–53, doi:10.1145/3639478.3640033.'
short: 'A.P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A.M. Mir, L. Li, E. Bodden,
in: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software
Engineering: Companion Proceedings, Association for Computing Machinery, New York,
NY, USA, 2024, pp. 49–53.'
conference:
location: Lisbon, Portugal
date_created: 2024-05-06T11:49:22Z
date_updated: 2024-08-05T07:49:33Z
department:
- _id: '76'
doi: 10.1145/3639478.3640033
external_id:
arxiv:
- '2312.16882'
language:
- iso: eng
page: 49-53
place: New York, NY, USA
publication: 'Proceedings of the 2024 IEEE/ACM 46th International Conference on Software
Engineering: Companion Proceedings'
publication_identifier:
isbn:
- '9798400705021'
publisher: Association for Computing Machinery
series_title: ICSE-Companion 24
status: public
title: 'TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools'
type: conference
user_id: '15249'
year: '2024'
...
---
_id: '55516'
author:
- first_name: Ashwin Prasad
full_name: Shivarpatna Venkatesh, Ashwin Prasad
id: '66637'
last_name: Shivarpatna Venkatesh
- first_name: Samkutty
full_name: Sabu, Samkutty
last_name: Sabu
- first_name: Amir M.
full_name: Mir, Amir M.
last_name: Mir
- first_name: Sofia
full_name: Reis, Sofia
last_name: Reis
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Shivarpatna Venkatesh AP, Sabu S, Mir AM, Reis S, Bodden E. The Emergence
of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks.
In: Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation
Models and Software Engineering. ACM; 2024. doi:10.1145/3650105.3652288'
apa: 'Shivarpatna Venkatesh, A. P., Sabu, S., Mir, A. M., Reis, S., & Bodden,
E. (2024). The Emergence of Large Language Models in Static Analysis: A First
Look through Micro-Benchmarks. Proceedings of the 2024 IEEE/ACM First International
Conference on AI Foundation Models and Software Engineering. https://doi.org/10.1145/3650105.3652288'
bibtex: '@inproceedings{Shivarpatna Venkatesh_Sabu_Mir_Reis_Bodden_2024, title={The
Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks},
DOI={10.1145/3650105.3652288},
booktitle={Proceedings of the 2024 IEEE/ACM First International Conference on
AI Foundation Models and Software Engineering}, publisher={ACM}, author={Shivarpatna
Venkatesh, Ashwin Prasad and Sabu, Samkutty and Mir, Amir M. and Reis, Sofia and
Bodden, Eric}, year={2024} }'
chicago: 'Shivarpatna Venkatesh, Ashwin Prasad, Samkutty Sabu, Amir M. Mir, Sofia
Reis, and Eric Bodden. “The Emergence of Large Language Models in Static Analysis:
A First Look through Micro-Benchmarks.” In Proceedings of the 2024 IEEE/ACM
First International Conference on AI Foundation Models and Software Engineering.
ACM, 2024. https://doi.org/10.1145/3650105.3652288.'
ieee: 'A. P. Shivarpatna Venkatesh, S. Sabu, A. M. Mir, S. Reis, and E. Bodden,
“The Emergence of Large Language Models in Static Analysis: A First Look through
Micro-Benchmarks,” 2024, doi: 10.1145/3650105.3652288.'
mla: 'Shivarpatna Venkatesh, Ashwin Prasad, et al. “The Emergence of Large Language
Models in Static Analysis: A First Look through Micro-Benchmarks.” Proceedings
of the 2024 IEEE/ACM First International Conference on AI Foundation Models and
Software Engineering, ACM, 2024, doi:10.1145/3650105.3652288.'
short: 'A.P. Shivarpatna Venkatesh, S. Sabu, A.M. Mir, S. Reis, E. Bodden, in: Proceedings
of the 2024 IEEE/ACM First International Conference on AI Foundation Models and
Software Engineering, ACM, 2024.'
date_created: 2024-08-05T09:12:59Z
date_updated: 2024-08-05T09:14:11Z
department:
- _id: '76'
doi: 10.1145/3650105.3652288
language:
- iso: eng
publication: Proceedings of the 2024 IEEE/ACM First International Conference on AI
Foundation Models and Software Engineering
publication_status: published
publisher: ACM
status: public
title: 'The Emergence of Large Language Models in Static Analysis: A First Look through
Micro-Benchmarks'
type: conference
user_id: '15249'
year: '2024'
...
---
_id: '55542'
abstract:
- lang: eng
text: This is the data set of the project Henze-Digital. It contains project specific
authority files (e.g., persons, organizations, places) and editions (e.g., letters,
documents).
author:
- first_name: Dennis
full_name: Ried, Dennis
id: '90722'
last_name: Ried
orcid: https://orcid.org/0000-0001-5545-2088
- first_name: Elena
full_name: Minetti, Elena
id: '90723'
last_name: Minetti
- first_name: Irmlind
full_name: Capelle, Irmlind
id: '21488'
last_name: Capelle
- first_name: Antje
full_name: Tumat, Antje
id: '72268'
last_name: Tumat
citation:
ama: Ried D, Minetti E, Capelle I, Tumat A. HenDi-Data (Data Package) v5.0.0.
Henze-Digital; 2024. doi:10.5281/ZENODO.13137419
apa: Ried, D., Minetti, E., Capelle, I., & Tumat, A. (2024). HenDi-Data (data
package) v5.0.0. Henze-Digital. https://doi.org/10.5281/ZENODO.13137419
bibtex: '@book{Ried_Minetti_Capelle_Tumat_2024, title={HenDi-Data (data package)
v5.0.0}, DOI={10.5281/ZENODO.13137419},
publisher={Henze-Digital}, author={Ried, Dennis and Minetti, Elena and Capelle,
Irmlind and Tumat, Antje}, year={2024} }'
chicago: Ried, Dennis, Elena Minetti, Irmlind Capelle, and Antje Tumat. HenDi-Data
(Data Package) v5.0.0. Henze-Digital, 2024. https://doi.org/10.5281/ZENODO.13137419.
ieee: D. Ried, E. Minetti, I. Capelle, and A. Tumat, HenDi-Data (data package)
v5.0.0. Henze-Digital, 2024.
mla: Ried, Dennis, et al. HenDi-Data (Data Package) v5.0.0. Henze-Digital,
2024, doi:10.5281/ZENODO.13137419.
short: D. Ried, E. Minetti, I. Capelle, A. Tumat, HenDi-Data (Data Package) v5.0.0,
Henze-Digital, 2024.
date_created: 2024-08-05T16:50:00Z
date_updated: 2024-08-05T16:51:07Z
department:
- _id: '233'
- _id: '856'
doi: 10.5281/ZENODO.13137419
project:
- _id: '738'
grant_number: '459602398'
name: 'HenDi: Digitale Briefedition: Hans Werner Henzes künstlerisches Netzwerk'
publisher: Henze-Digital
status: public
title: HenDi-Data (data package) v5.0.0
type: research_data
user_id: '90722'
year: '2024'
...
---
_id: '55540'
author:
- first_name: Dennis
full_name: Ried, Dennis
id: '90722'
last_name: Ried
orcid: https://orcid.org/0000-0001-5545-2088
- first_name: Irmlind
full_name: Capelle, Irmlind
id: '21488'
last_name: Capelle
- first_name: Elena
full_name: Minetti, Elena
id: '90723'
last_name: Minetti
citation:
ama: Ried D, Capelle I, Minetti E. HenDi-ODD v5.0.0. Henze-Digital; 2024.
doi:10.5281/ZENODO.13137422
apa: Ried, D., Capelle, I., & Minetti, E. (2024). HenDi-ODD v5.0.0. Henze-Digital.
https://doi.org/10.5281/ZENODO.13137422
bibtex: '@book{Ried_Capelle_Minetti_2024, title={HenDi-ODD v5.0.0}, DOI={10.5281/ZENODO.13137422},
publisher={Henze-Digital}, author={Ried, Dennis and Capelle, Irmlind and Minetti,
Elena}, year={2024} }'
chicago: Ried, Dennis, Irmlind Capelle, and Elena Minetti. HenDi-ODD v5.0.0.
Henze-Digital, 2024. https://doi.org/10.5281/ZENODO.13137422.
ieee: D. Ried, I. Capelle, and E. Minetti, HenDi-ODD v5.0.0. Henze-Digital,
2024.
mla: Ried, Dennis, et al. HenDi-ODD v5.0.0. Henze-Digital, 2024, doi:10.5281/ZENODO.13137422.
short: D. Ried, I. Capelle, E. Minetti, HenDi-ODD v5.0.0, Henze-Digital, 2024.
date_created: 2024-08-05T16:47:22Z
date_updated: 2024-08-05T16:48:22Z
department:
- _id: '233'
- _id: '856'
doi: 10.5281/ZENODO.13137422
project:
- _id: '738'
grant_number: '459602398'
name: 'HenDi: Digitale Briefedition: Hans Werner Henzes künstlerisches Netzwerk'
publisher: Henze-Digital
status: public
title: HenDi-ODD v5.0.0
type: research_data
user_id: '90722'
year: '2024'
...
---
_id: '55539'
author:
- first_name: Dennis
full_name: Ried, Dennis
id: '90722'
last_name: Ried
orcid: https://orcid.org/0000-0001-5545-2088
citation:
ama: Ried D. HenDi-WebApp v5.0.0. Henze-Digital; 2024. doi:10.5281/ZENODO.13137427
apa: Ried, D. (2024). HenDi-WebApp v5.0.0. Henze-Digital. https://doi.org/10.5281/ZENODO.13137427
bibtex: '@book{Ried_2024, title={HenDi-WebApp v5.0.0}, DOI={10.5281/ZENODO.13137427},
publisher={Henze-Digital}, author={Ried, Dennis}, year={2024} }'
chicago: Ried, Dennis. HenDi-WebApp v5.0.0. Henze-Digital, 2024. https://doi.org/10.5281/ZENODO.13137427.
ieee: D. Ried, HenDi-WebApp v5.0.0. Henze-Digital, 2024.
mla: Ried, Dennis. HenDi-WebApp v5.0.0. Henze-Digital, 2024, doi:10.5281/ZENODO.13137427.
short: D. Ried, HenDi-WebApp v5.0.0, Henze-Digital, 2024.
date_created: 2024-08-05T16:43:43Z
date_updated: 2024-08-05T16:46:01Z
department:
- _id: '233'
- _id: '856'
doi: 10.5281/ZENODO.13137427
project:
- _id: '738'
grant_number: '459602398'
name: 'HenDi: Digitale Briefedition: Hans Werner Henzes künstlerisches Netzwerk'
publisher: Henze-Digital
status: public
title: HenDi-WebApp v5.0.0
type: research_data
user_id: '90722'
year: '2024'
...
---
_id: '55563'
abstract:
- lang: ger
text: 'Diese Studie widmet sich der Frage, inwiefern die schriftbildliche Gestaltung
(Zeichengestaltung, Anordnung, Hervorhebung etc.) grammatisch bedeutsam sein kann.
Zur Beantwortung wird ein erweiterter kognitiv-grammatischer Ansatz gewählt und
ein selbsterstelltes Korpus aus 1.317 Fotos von Lebensmittelverpackungen mithilfe
der Software MAXQDA analysiert. Das Analyseverfahren basiert auf einer innovativen
Kombination aus musterorientierter Kollektionsanalyse und der Adaption grammatischer
Proben. Die Untersuchung offenbart erstens, dass Markennamen wie ''Coca-Cola'',
''nutella'' etc. multimodale Konstruktionen mit konstitutiver Schriftbildlichkeit
sein können, sofern deren Gestaltung kognitiv verankert und interindividuell konventionell
ist. Zweitens wird für Warennamen wie ''GUT & GÜNSTIG Knäckebrot Sesam'' etc.
die Wirkung diagrammatischer Ikonizität erarbeitet, wonach die musterhafte schriftbildliche
Gestaltung die Komposition der einzelnen Komponenten eines Warennamens vereindeutigt.
Drittens werden Zusammensetzungen mit nicht-verbalen Prädikaten wie ''mit 11%
Sesam'', ''ohne Rosinen'' etc. als multimodale Konstruktionen herausgearbeitet,
bei denen die musterhafte gestalterische Verknüpfung das Verständnis ebenfalls
maßgeblich beeinflusst. '
author:
- first_name: Alexander
full_name: Dübbert, Alexander
id: '44613'
last_name: Dübbert
orcid: 0009-0002-4063-801X
citation:
ama: Dübbert A. Multimodale Konstruktionen im „Alltagskonsumkosmos“. Eine empirische
Studie zur grammatischen Bedeutsamkeit von Schriftbildlichkeit. Vol 114. De
Gruyter; 2024. doi:10.1515/9783111386607
apa: Dübbert, A. (2024). Multimodale Konstruktionen im „Alltagskonsumkosmos“.
Eine empirische Studie zur grammatischen Bedeutsamkeit von Schriftbildlichkeit
(Vol. 114). De Gruyter. https://doi.org/10.1515/9783111386607
bibtex: '@book{Dübbert_2024, place={Berlin/Boston}, series={Linguistik - Impulse
& Tendenzen}, title={Multimodale Konstruktionen im „Alltagskonsumkosmos“.
Eine empirische Studie zur grammatischen Bedeutsamkeit von Schriftbildlichkeit},
volume={114}, DOI={10.1515/9783111386607},
publisher={De Gruyter}, author={Dübbert, Alexander}, year={2024}, collection={Linguistik
- Impulse & Tendenzen} }'
chicago: 'Dübbert, Alexander. Multimodale Konstruktionen im „Alltagskonsumkosmos“.
Eine empirische Studie zur grammatischen Bedeutsamkeit von Schriftbildlichkeit.
Vol. 114. Linguistik - Impulse & Tendenzen. Berlin/Boston: De Gruyter, 2024.
https://doi.org/10.1515/9783111386607.'
ieee: 'A. Dübbert, Multimodale Konstruktionen im „Alltagskonsumkosmos“. Eine
empirische Studie zur grammatischen Bedeutsamkeit von Schriftbildlichkeit,
vol. 114. Berlin/Boston: De Gruyter, 2024.'
mla: Dübbert, Alexander. Multimodale Konstruktionen im „Alltagskonsumkosmos“.
Eine empirische Studie zur grammatischen Bedeutsamkeit von Schriftbildlichkeit.
De Gruyter, 2024, doi:10.1515/9783111386607.
short: A. Dübbert, Multimodale Konstruktionen im „Alltagskonsumkosmos“. Eine empirische
Studie zur grammatischen Bedeutsamkeit von Schriftbildlichkeit, De Gruyter, Berlin/Boston,
2024.
date_created: 2024-08-08T06:05:21Z
date_updated: 2024-08-08T06:13:59Z
department:
- _id: '115'
doi: 10.1515/9783111386607
intvolume: ' 114'
keyword:
- Kognitive (Konstruktions-)Grammatik
- Multimodalität
- Schriftbildlichkeit
- Lebensmittelverpackungen
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.degruyter.com/document/doi/10.1515/9783111386607/html
oa: '1'
page: '432'
place: Berlin/Boston
publication_identifier:
isbn:
- '9783111386607'
publication_status: published
publisher: De Gruyter
quality_controlled: '1'
series_title: Linguistik - Impulse & Tendenzen
status: public
title: Multimodale Konstruktionen im „Alltagskonsumkosmos“. Eine empirische Studie
zur grammatischen Bedeutsamkeit von Schriftbildlichkeit
type: book
user_id: '44613'
volume: 114
year: '2024'
...
---
_id: '55561'
author:
- first_name: Gabriela
full_name: Jonas-Ahrend, Gabriela
id: '77633'
last_name: Jonas-Ahrend
orcid: 0000-0003-3898-954X
- first_name: Marika
full_name: Kapanadze, Marika
last_name: Kapanadze
- first_name: Alexander
full_name: Mazzolini, Alexander
last_name: Mazzolini
- first_name: Fadeel
full_name: Joubran, Fadeel
last_name: Joubran
citation:
ama: 'Jonas-Ahrend G, Kapanadze M, Mazzolini A, Joubran F. Ergebnisse einer Reviewstudie
zur Evaluation von Physiklehrbüchern. In: van Vorst (Hrsg.) H, ed. GDCP Jahrestagung
Hamburg 2023. ; 2024:570-572.'
apa: Jonas-Ahrend, G., Kapanadze, M., Mazzolini, A., & Joubran, F. (2024). Ergebnisse
einer Reviewstudie zur Evaluation von Physiklehrbüchern. In H. van Vorst (Hrsg.)
(Ed.), GDCP Jahrestagung Hamburg 2023 (pp. 570–572).
bibtex: '@inproceedings{Jonas-Ahrend_Kapanadze_Mazzolini_Joubran_2024, title={Ergebnisse
einer Reviewstudie zur Evaluation von Physiklehrbüchern}, booktitle={GDCP Jahrestagung
Hamburg 2023}, author={Jonas-Ahrend, Gabriela and Kapanadze, Marika and Mazzolini,
Alexander and Joubran, Fadeel}, editor={van Vorst (Hrsg.), Helena}, year={2024},
pages={570–572} }'
chicago: Jonas-Ahrend, Gabriela, Marika Kapanadze, Alexander Mazzolini, and Fadeel
Joubran. “Ergebnisse Einer Reviewstudie Zur Evaluation von Physiklehrbüchern.”
In GDCP Jahrestagung Hamburg 2023, edited by Helena van Vorst (Hrsg.),
570–72, 2024.
ieee: G. Jonas-Ahrend, M. Kapanadze, A. Mazzolini, and F. Joubran, “Ergebnisse einer
Reviewstudie zur Evaluation von Physiklehrbüchern,” in GDCP Jahrestagung Hamburg
2023, Hamburg, 2024, pp. 570–572.
mla: Jonas-Ahrend, Gabriela, et al. “Ergebnisse Einer Reviewstudie Zur Evaluation
von Physiklehrbüchern.” GDCP Jahrestagung Hamburg 2023, edited by Helena
van Vorst (Hrsg.), 2024, pp. 570–72.
short: 'G. Jonas-Ahrend, M. Kapanadze, A. Mazzolini, F. Joubran, in: H. van Vorst
(Hrsg.) (Ed.), GDCP Jahrestagung Hamburg 2023, 2024, pp. 570–572.'
conference:
end_date: 2023-09-14
location: Hamburg
name: GDCP Jahrestagung
start_date: 2023-09-11
date_created: 2024-08-07T13:43:55Z
date_updated: 2024-08-07T13:44:53Z
department:
- _id: '300'
editor:
- first_name: Helena
full_name: van Vorst (Hrsg.), Helena
last_name: van Vorst (Hrsg.)
has_accepted_license: '1'
language:
- iso: eng
page: 570-572
publication: GDCP Jahrestagung Hamburg 2023
status: public
title: Ergebnisse einer Reviewstudie zur Evaluation von Physiklehrbüchern
type: conference
user_id: '77633'
year: '2024'
...
---
_id: '55562'
author:
- first_name: Gabriela
full_name: Jonas-Ahrend, Gabriela
id: '77633'
last_name: Jonas-Ahrend
orcid: 0000-0003-3898-954X
citation:
ama: 'Jonas-Ahrend G. Teacher shortage - characteristics, constraints, and challenges:
The case of Germany. In: ; 2024.'
apa: 'Jonas-Ahrend, G. (2024). Teacher shortage - characteristics, constraints,
and challenges: The case of Germany. 65th World Assembly - International Council
on Education for Teaching, Braga/Portugal.'
bibtex: '@inproceedings{Jonas-Ahrend_2024, title={Teacher shortage - characteristics,
constraints, and challenges: The case of Germany}, author={Jonas-Ahrend, Gabriela},
year={2024} }'
chicago: 'Jonas-Ahrend, Gabriela. “Teacher Shortage - Characteristics, Constraints,
and Challenges: The Case of Germany,” 2024.'
ieee: 'G. Jonas-Ahrend, “Teacher shortage - characteristics, constraints, and challenges:
The case of Germany,” presented at the 65th World Assembly - International Council
on Education for Teaching, Braga/Portugal, 2024.'
mla: 'Jonas-Ahrend, Gabriela. Teacher Shortage - Characteristics, Constraints,
and Challenges: The Case of Germany. 2024.'
short: 'G. Jonas-Ahrend, in: 2024.'
conference:
end_date: 2024-06-15
location: Braga/Portugal
name: 65th World Assembly - International Council on Education for Teaching
start_date: 2024-06-13
date_created: 2024-08-07T13:50:23Z
date_updated: 2024-08-07T13:50:29Z
department:
- _id: '300'
language:
- iso: eng
status: public
title: 'Teacher shortage - characteristics, constraints, and challenges: The case
of Germany'
type: conference_abstract
user_id: '77633'
year: '2024'
...
---
_id: '55193'
author:
- first_name: Max
full_name: Hoffmann, Max
id: '32202'
last_name: Hoffmann
orcid: 0000-0002-6964-7123
- first_name: Joachim
full_name: Hilgert, Joachim
id: '220'
last_name: Hilgert
- first_name: Tobias
full_name: Weich, Tobias
id: '49178'
last_name: Weich
orcid: 0000-0002-9648-6919
citation:
ama: Hoffmann M, Hilgert J, Weich T. Ebene euklidische Geometrie. Algebraisierung,
Axiomatisierung und Schnittstellen zur Schulmathematik. Springer Berlin Heidelberg;
2024. doi:10.1007/978-3-662-67357-7
apa: Hoffmann, M., Hilgert, J., & Weich, T. (2024). Ebene euklidische Geometrie.
Algebraisierung, Axiomatisierung und Schnittstellen zur Schulmathematik. Springer
Berlin Heidelberg. https://doi.org/10.1007/978-3-662-67357-7
bibtex: '@book{Hoffmann_Hilgert_Weich_2024, place={Berlin, Heidelberg}, title={Ebene
euklidische Geometrie. Algebraisierung, Axiomatisierung und Schnittstellen zur
Schulmathematik}, DOI={10.1007/978-3-662-67357-7},
publisher={Springer Berlin Heidelberg}, author={Hoffmann, Max and Hilgert, Joachim
and Weich, Tobias}, year={2024} }'
chicago: 'Hoffmann, Max, Joachim Hilgert, and Tobias Weich. Ebene euklidische
Geometrie. Algebraisierung, Axiomatisierung und Schnittstellen zur Schulmathematik.
Berlin, Heidelberg: Springer Berlin Heidelberg, 2024. https://doi.org/10.1007/978-3-662-67357-7.'
ieee: 'M. Hoffmann, J. Hilgert, and T. Weich, Ebene euklidische Geometrie. Algebraisierung,
Axiomatisierung und Schnittstellen zur Schulmathematik. Berlin, Heidelberg:
Springer Berlin Heidelberg, 2024.'
mla: Hoffmann, Max, et al. Ebene euklidische Geometrie. Algebraisierung, Axiomatisierung
und Schnittstellen zur Schulmathematik. Springer Berlin Heidelberg, 2024,
doi:10.1007/978-3-662-67357-7.
short: M. Hoffmann, J. Hilgert, T. Weich, Ebene euklidische Geometrie. Algebraisierung,
Axiomatisierung und Schnittstellen zur Schulmathematik, Springer Berlin Heidelberg,
Berlin, Heidelberg, 2024.
date_created: 2024-07-12T08:36:42Z
date_updated: 2024-08-08T08:05:30Z
department:
- _id: '97'
- _id: '643'
- _id: '548'
doi: 10.1007/978-3-662-67357-7
language:
- iso: ger
place: Berlin, Heidelberg
publication_identifier:
isbn:
- '9783662673560'
- '9783662673577'
publication_status: published
publisher: Springer Berlin Heidelberg
status: public
title: Ebene euklidische Geometrie. Algebraisierung, Axiomatisierung und Schnittstellen
zur Schulmathematik
type: book
user_id: '220'
year: '2024'
...
---
_id: '54405'
abstract:
- lang: eng
text: Dataset of the publication "Microscopic simulations of the dynamics of excitonic
many-body correlations coupled to quantum light" H. Rose, P. R. Sharapova, and
T. Meier, Proc. SPIE 12884, Ultrafast Phenomena and Nanophotonics XXVIII, 1288403
(2024). ( https://doi.org/10.1117/12.2690245 ). The zip file includes the data
on which the plots shown in figures 1 and 2 are based.
author:
- first_name: Hendrik
full_name: Rose, Hendrik
id: '55958'
last_name: Rose
orcid: 0000-0002-3079-5428
- first_name: Polina
full_name: Sharapova, Polina
id: '60286'
last_name: Sharapova
- first_name: Torsten
full_name: Meier, Torsten
id: '344'
last_name: Meier
orcid: 0000-0001-8864-2072
citation:
ama: Rose H, Sharapova P, Meier T. Microscopic Simulations of the Dynamics of
Excitonic Many-Body Correlations Coupled to Quantum Light. LibreCat University;
2024. doi:10.5281/ZENODO.10817980
apa: Rose, H., Sharapova, P., & Meier, T. (2024). Microscopic simulations
of the dynamics of excitonic many-body correlations coupled to quantum light.
LibreCat University. https://doi.org/10.5281/ZENODO.10817980
bibtex: '@book{Rose_Sharapova_Meier_2024, title={Microscopic simulations of the
dynamics of excitonic many-body correlations coupled to quantum light}, DOI={10.5281/ZENODO.10817980}, publisher={LibreCat
University}, author={Rose, Hendrik and Sharapova, Polina and Meier, Torsten},
year={2024} }'
chicago: Rose, Hendrik, Polina Sharapova, and Torsten Meier. Microscopic Simulations
of the Dynamics of Excitonic Many-Body Correlations Coupled to Quantum Light.
LibreCat University, 2024. https://doi.org/10.5281/ZENODO.10817980.
ieee: H. Rose, P. Sharapova, and T. Meier, Microscopic simulations of the dynamics
of excitonic many-body correlations coupled to quantum light. LibreCat University,
2024.
mla: Rose, Hendrik, et al. Microscopic Simulations of the Dynamics of Excitonic
Many-Body Correlations Coupled to Quantum Light. LibreCat University, 2024,
doi:10.5281/ZENODO.10817980.
short: H. Rose, P. Sharapova, T. Meier, Microscopic Simulations of the Dynamics
of Excitonic Many-Body Correlations Coupled to Quantum Light, LibreCat University,
2024.
date_created: 2024-05-21T14:31:43Z
date_updated: 2024-08-09T05:15:58Z
department:
- _id: '15'
- _id: '569'
- _id: '170'
- _id: '293'
- _id: '35'
- _id: '230'
doi: 10.5281/ZENODO.10817980
publisher: LibreCat University
status: public
title: Microscopic simulations of the dynamics of excitonic many-body correlations
coupled to quantum light
type: research_data
user_id: '16199'
year: '2024'
...
---
_id: '55577'
abstract:
- lang: eng
text: ' Abstract: Research differentiates between procrastination as a trait
and as a state. While trait procrastination implies cross-temporal stability,
state procrastination denotes an episode in which a particular task is procrastinated,
therefore implying cross-temporal variability. However, it is unclear whether
trait procrastination scales (i) capture temporal-variable variance components
(i.e., state procrastination), and (ii) how trait and state are differentially
related to other variables commonly associated with procrastination. Latent state-trait
modeling was used to separate stable from temporal-variable variance components
of a common trait procrastination measure and to relate both facets of procrastination
to satisfaction with the studies as an example for related variables. Student
participants ( N = 194) filled out the five-item short version of the General
Procrastination Scale (GPS; Klein et al., 2019 ) three times with 12-month intervals
between each measurement. Results confirm that GPS scores reflect stable components
of procrastination to a larger extent than temporal-variable variance components.
And they demonstrate that variable procrastination correlates more strongly with
study satisfaction, as compared to stable procrastination. These results may inspire
research to specify how far correlates of procrastination pertain to trait procrastination,
state procrastination, or both. '
alternative_title:
- Insights From a LST-Analysis of a Trait Procrastination Scale
author:
- first_name: Markus
full_name: Koppenborg, Markus
last_name: Koppenborg
- first_name: Anna
full_name: Ebert, Anna
last_name: Ebert
- first_name: Katrin B.
full_name: Klingsieck, Katrin B.
id: '36716'
last_name: Klingsieck
citation:
ama: Koppenborg M, Ebert A, Klingsieck KB. Trait- and State-Aspects of Procrastination
and Their Relation to Study Satisfaction. European Journal of Psychological
Assessment. Published online 2024. doi:10.1027/1015-5759/a000853
apa: Koppenborg, M., Ebert, A., & Klingsieck, K. B. (2024). Trait- and State-Aspects
of Procrastination and Their Relation to Study Satisfaction. European Journal
of Psychological Assessment. https://doi.org/10.1027/1015-5759/a000853
bibtex: '@article{Koppenborg_Ebert_Klingsieck_2024, title={Trait- and State-Aspects
of Procrastination and Their Relation to Study Satisfaction}, DOI={10.1027/1015-5759/a000853},
journal={European Journal of Psychological Assessment}, publisher={Hogrefe Publishing
Group}, author={Koppenborg, Markus and Ebert, Anna and Klingsieck, Katrin B.},
year={2024} }'
chicago: Koppenborg, Markus, Anna Ebert, and Katrin B. Klingsieck. “Trait- and State-Aspects
of Procrastination and Their Relation to Study Satisfaction.” European Journal
of Psychological Assessment, 2024. https://doi.org/10.1027/1015-5759/a000853.
ieee: 'M. Koppenborg, A. Ebert, and K. B. Klingsieck, “Trait- and State-Aspects
of Procrastination and Their Relation to Study Satisfaction,” European Journal
of Psychological Assessment, 2024, doi: 10.1027/1015-5759/a000853.'
mla: Koppenborg, Markus, et al. “Trait- and State-Aspects of Procrastination and
Their Relation to Study Satisfaction.” European Journal of Psychological Assessment,
Hogrefe Publishing Group, 2024, doi:10.1027/1015-5759/a000853.
short: M. Koppenborg, A. Ebert, K.B. Klingsieck, European Journal of Psychological
Assessment (2024).
date_created: 2024-08-10T09:59:42Z
date_updated: 2024-08-10T10:01:59Z
department:
- _id: '426'
doi: 10.1027/1015-5759/a000853
language:
- iso: eng
publication: European Journal of Psychological Assessment
publication_identifier:
issn:
- 1015-5759
- 2151-2426
publication_status: published
publisher: Hogrefe Publishing Group
status: public
title: Trait- and State-Aspects of Procrastination and Their Relation to Study Satisfaction
type: journal_article
user_id: '36716'
year: '2024'
...
---
_id: '55578'
abstract:
- lang: eng
text: ' Abstract: There is ample theoretical and empirical support for the
idea that both conscious and unconscious volitional processes, predecisional and
postdecisional aspects, and the aspect of having or not having self-access play
a role in procrastination episodes. The unconscious volitional processes, predecisional
aspects, and the aspect of self-access are yet rather under-researched. If they
are considered, however, procrastination can be understood on an even deeper level
and treated more sustainably. Moreover, considering these aspects opens up a humanistic
perspective on procrastination episodes, thereby, putting procrastination and
procrastination interventions in the bigger picture of self-actualization, self-alienation,
and self-growth. '
author:
- first_name: Katrin B.
full_name: Klingsieck, Katrin B.
id: '36716'
last_name: Klingsieck
citation:
ama: Klingsieck KB. Procrastination – Having, or Not Having Self-Access, That Is
the Question. European Psychologist. 2024;29(2):123-135. doi:10.1027/1016-9040/a000528
apa: Klingsieck, K. B. (2024). Procrastination – Having, or Not Having Self-Access,
That Is the Question. European Psychologist, 29(2), 123–135. https://doi.org/10.1027/1016-9040/a000528
bibtex: '@article{Klingsieck_2024, title={Procrastination – Having, or Not Having
Self-Access, That Is the Question}, volume={29}, DOI={10.1027/1016-9040/a000528},
number={2}, journal={European Psychologist}, publisher={Hogrefe Publishing Group},
author={Klingsieck, Katrin B.}, year={2024}, pages={123–135} }'
chicago: 'Klingsieck, Katrin B. “Procrastination – Having, or Not Having Self-Access,
That Is the Question.” European Psychologist 29, no. 2 (2024): 123–35.
https://doi.org/10.1027/1016-9040/a000528.'
ieee: 'K. B. Klingsieck, “Procrastination – Having, or Not Having Self-Access, That
Is the Question,” European Psychologist, vol. 29, no. 2, pp. 123–135, 2024,
doi: 10.1027/1016-9040/a000528.'
mla: Klingsieck, Katrin B. “Procrastination – Having, or Not Having Self-Access,
That Is the Question.” European Psychologist, vol. 29, no. 2, Hogrefe Publishing
Group, 2024, pp. 123–35, doi:10.1027/1016-9040/a000528.
short: K.B. Klingsieck, European Psychologist 29 (2024) 123–135.
date_created: 2024-08-10T10:01:06Z
date_updated: 2024-08-10T10:01:52Z
department:
- _id: '426'
doi: 10.1027/1016-9040/a000528
intvolume: ' 29'
issue: '2'
language:
- iso: eng
page: 123-135
publication: European Psychologist
publication_identifier:
issn:
- 1016-9040
- 1878-531X
publication_status: published
publisher: Hogrefe Publishing Group
status: public
title: Procrastination – Having, or Not Having Self-Access, That Is the Question
type: journal_article
user_id: '36716'
volume: 29
year: '2024'
...
---
_id: '46469'
abstract:
- lang: eng
text: 'We show how to learn discrete field theories from observational data of fields
on a space-time lattice. For this, we train a neural network model of a discrete
Lagrangian density such that the discrete Euler--Lagrange equations are consistent
with the given training data. We, thus, obtain a structure-preserving machine
learning architecture. Lagrangian densities are not uniquely defined by the solutions
of a field theory. We introduce a technique to derive regularisers for the training
process which optimise numerical regularity of the discrete field theory. Minimisation
of the regularisers guarantees that close to the training data the discrete field
theory behaves robust and efficient when used in numerical simulations. Further,
we show how to identify structurally simple solutions of the underlying continuous
field theory such as travelling waves. This is possible even when travelling waves
are not present in the training data. This is compared to data-driven model order
reduction based approaches, which struggle to identify suitable latent spaces
containing structurally simple solutions when these are not present in the training
data. Ideas are demonstrated on examples based on the wave equation and the Schrödinger
equation. '
article_number: '013104'
article_type: original
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 of discrete models of variational PDEs from
data. Chaos. 2024;34(1). doi:10.1063/5.0172287
apa: Offen, C., & Ober-Blöbaum, S. (2024). Learning of discrete models of variational
PDEs from data. Chaos, 34(1), Article 013104. https://doi.org/10.1063/5.0172287
bibtex: '@article{Offen_Ober-Blöbaum_2024, title={Learning of discrete models of
variational PDEs from data}, volume={34}, DOI={10.1063/5.0172287},
number={1013104}, journal={Chaos}, publisher={AIP Publishing}, author={Offen,
Christian and Ober-Blöbaum, Sina}, year={2024} }'
chicago: Offen, Christian, and Sina Ober-Blöbaum. “Learning of Discrete Models of
Variational PDEs from Data.” Chaos 34, no. 1 (2024). https://doi.org/10.1063/5.0172287.
ieee: 'C. Offen and S. Ober-Blöbaum, “Learning of discrete models of variational
PDEs from data,” Chaos, vol. 34, no. 1, Art. no. 013104, 2024, doi: 10.1063/5.0172287.'
mla: Offen, Christian, and Sina Ober-Blöbaum. “Learning of Discrete Models of Variational
PDEs from Data.” Chaos, vol. 34, no. 1, 013104, AIP Publishing, 2024, doi:10.1063/5.0172287.
short: C. Offen, S. Ober-Blöbaum, Chaos 34 (2024).
date_created: 2023-08-10T08:24:48Z
date_updated: 2024-08-12T13:45:43Z
ddc:
- '510'
department:
- _id: '636'
doi: 10.1063/5.0172287
external_id:
arxiv:
- '2308.05082 '
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2024-01-09T10:48:38Z
date_updated: 2024-01-09T10:48:38Z
file_id: '50376'
file_name: Accepted manuscript with AIP banner CHA23-AR-01370.pdf
file_size: 13222105
relation: main_file
title: Accepted Manuscript Chaos
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2024-01-09T11:19:49Z
date_updated: 2024-01-09T11:19:49Z
description: |-
We show how to learn discrete field theories from observational data of fields on a space-time lattice. For this, we train
a neural network model of a discrete Lagrangian density such that the discrete Euler–Lagrange equations are consistent
with the given training data. We, thus, obtain a structure-preserving machine learning architecture. Lagrangian
densities are not uniquely defined by the solutions of a field theory. We introduce a technique to derive regularisers for
the training process which optimise numerical regularity of the discrete field theory. Minimisation of the regularisers
guarantees that close to the training data the discrete field theory behaves robust and efficient when used in numerical
simulations. Further, we show how to identify structurally simple solutions of the underlying continuous field theory
such as travelling waves. This is possible even when travelling waves are not present in the training data. This is
compared to data-driven model order reduction based approaches, which struggle to identify suitable latent spaces
containing structurally simple solutions when these are not present in the training data. Ideas are demonstrated on
examples based on the wave equation and the Schrödinger equation.
file_id: '50390'
file_name: LDensityPDE_AIP.pdf
file_size: 12960884
relation: main_file
title: Learning of discrete models of variational PDEs from data
file_date_updated: 2024-01-09T11:19:49Z
has_accepted_license: '1'
intvolume: ' 34'
issue: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Chaos
publication_identifier:
issn:
- 1054-1500
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
related_material:
link:
- description: GitHub
relation: software
url: https://github.com/Christian-Offen/DLNN_pde
status: public
title: Learning of discrete models of variational PDEs from data
type: journal_article
user_id: '85279'
volume: 34
year: '2024'
...
---
_id: '55159'
abstract:
- lang: eng
text: "We introduce a method based on Gaussian process regression to identify discrete
variational principles from observed solutions of a field theory. The method is
based on the data-based identification of a discrete Lagrangian density. It is
a geometric machine learning technique in the sense that the variational structure
of the true field theory is reflected in the data-driven model by design. We provide
a rigorous convergence statement of the method. The proof circumvents challenges
posed by the ambiguity of discrete Lagrangian densities in the inverse problem
of variational calculus.\r\nMoreover, our method can be used to quantify model
uncertainty in the equations of motions and any linear observable of the discrete
field theory. This is illustrated on the example of the discrete wave equation
and Schrödinger equation.\r\nThe article constitutes an extension of our previous
article arXiv:2404.19626 for the data-driven identification of (discrete) Lagrangians
for variational dynamics from an ode setting to the setting of discrete pdes."
author:
- first_name: Christian
full_name: Offen, Christian
id: '85279'
last_name: Offen
orcid: 0000-0002-5940-8057
citation:
ama: Offen C. Machine learning of discrete field theories with guaranteed convergence
and uncertainty quantification.
apa: Offen, C. (n.d.). Machine learning of discrete field theories with guaranteed
convergence and uncertainty quantification.
bibtex: '@article{Offen, title={Machine learning of discrete field theories with
guaranteed convergence and uncertainty quantification}, author={Offen, Christian}
}'
chicago: Offen, Christian. “Machine Learning of Discrete Field Theories with Guaranteed
Convergence and Uncertainty Quantification,” n.d.
ieee: C. Offen, “Machine learning of discrete field theories with guaranteed convergence
and uncertainty quantification.” .
mla: Offen, Christian. Machine Learning of Discrete Field Theories with Guaranteed
Convergence and Uncertainty Quantification.
short: C. Offen, (n.d.).
date_created: 2024-07-10T13:43:50Z
date_updated: 2024-08-12T13:43:32Z
ddc:
- '510'
department:
- _id: '636'
external_id:
arxiv:
- '2407.07642'
file:
- access_level: open_access
content_type: application/pdf
creator: coffen
date_created: 2024-07-10T13:39:32Z
date_updated: 2024-07-10T13:39:32Z
description: |-
We introduce a method based on Gaussian process regression to identify discrete
variational principles from observed solutions of a field theory. The method is based on the data-based identification of a discrete Lagrangian density. It is a geometric machine learning technique in the sense that the variational structure of the true field theory is reflected in the data-driven model by design.
We provide a rigorous convergence statement of the method.
The proof circumvents challenges posed by the ambiguity of discrete Lagrangian densities in the inverse problem of variational calculus.
Moreover, our method can be used to quantify model uncertainty in the equations of motions and any linear observable of the discrete field theory.
This is illustrated on the example of the discrete wave equation and Schrödinger equation.
The article constitutes an extension of our previous article for the data-driven identification of (discrete) Lagrangians for variational dynamics from an ode setting to the setting of discrete pdes.
file_id: '55160'
file_name: L_Collocation.pdf
file_size: 4569314
relation: main_file
title: Machine learning of discrete field theories with guaranteed convergence and
uncertainty quantification
file_date_updated: 2024-07-10T13:39:32Z
has_accepted_license: '1'
keyword:
- System identification
- inverse problem of variational calculus
- Gaussian process
- Lagrangian learning
- physics informed machine learning
- geometry aware learning
language:
- iso: eng
oa: '1'
page: '28'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication_status: submitted
related_material:
link:
- description: GitHub
relation: software
url: https://github.com/Christian-Offen/Lagrangian_GP_PDE
status: public
title: Machine learning of discrete field theories with guaranteed convergence and
uncertainty quantification
type: preprint
user_id: '85279'
year: '2024'
...
---
_id: '55302'
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Mareen
full_name: Wippermann, Mareen
id: '74624'
last_name: Wippermann
citation:
ama: Claes L, Wippermann M. Analysis of Guided Acoustic Waves in Periodically
Structured Plates.; 2024.
apa: Claes, L., & Wippermann, M. (2024). Analysis of guided acoustic waves
in periodically structured plates.
bibtex: '@book{Claes_Wippermann_2024, place={Guided Ultrasonic Waves: Emerging Methods
(GUWEM) Workshop, Überherrn}, title={Analysis of guided acoustic waves in periodically
structured plates}, author={Claes, Leander and Wippermann, Mareen}, year={2024}
}'
chicago: 'Claes, Leander, and Mareen Wippermann. Analysis of Guided Acoustic
Waves in Periodically Structured Plates. Guided Ultrasonic Waves: Emerging
Methods (GUWEM) Workshop, Überherrn, 2024.'
ieee: 'L. Claes and M. Wippermann, Analysis of guided acoustic waves in periodically
structured plates. Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop,
Überherrn, 2024.'
mla: Claes, Leander, and Mareen Wippermann. Analysis of Guided Acoustic Waves
in Periodically Structured Plates. 2024.
short: 'L. Claes, M. Wippermann, Analysis of Guided Acoustic Waves in Periodically
Structured Plates, Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop,
Überherrn, 2024.'
date_created: 2024-07-17T07:05:23Z
date_updated: 2024-08-15T07:33:13Z
department:
- _id: '49'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.12517188
oa: '1'
place: 'Guided Ultrasonic Waves: Emerging Methods (GUWEM) Workshop, Überherrn'
project:
- _id: '157'
grant_number: '495847374'
name: 'FaMOUS: Ein ultraschallbasiertes Messverfahren unter Berücksichtigung viskoelastischer
Eigenschaften zur Charakterisierung der Faser-Matrix-Haftung bei Organoblechen
sowie deren realitätsnahe Modellierung'
status: public
title: Analysis of guided acoustic waves in periodically structured plates
type: misc
user_id: '11829'
year: '2024'
...
---
_id: '55633'
author:
- first_name: Sandra
full_name: Höltervennhoff, Sandra
last_name: Höltervennhoff
- first_name: Noah
full_name: Wöhler, Noah
last_name: Wöhler
- first_name: Arne
full_name: Möhle, Arne
last_name: Möhle
- first_name: Marten
full_name: Oltrogge, Marten
last_name: Oltrogge
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Oliver
full_name: Wiese, Oliver
last_name: Wiese
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Höltervennhoff S, Wöhler N, Möhle A, et al. A Mixed-Methods Study on User
Experiences and Challenges of Recovery Codes for an End-to-End Encrypted Service.
In: Balzarotti D, Xu W, eds. 33rd USENIX Security Symposium, USENIX Security
2024, Philadelphia, PA, USA, August 14-16, 2024. USENIX Association; 2024.'
apa: Höltervennhoff, S., Wöhler, N., Möhle, A., Oltrogge, M., Acar, Y., Wiese, O.,
& Fahl, S. (2024). A Mixed-Methods Study on User Experiences and Challenges
of Recovery Codes for an End-to-End Encrypted Service. In D. Balzarotti &
W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia,
PA, USA, August 14-16, 2024. USENIX Association.
bibtex: '@inproceedings{Höltervennhoff_Wöhler_Möhle_Oltrogge_Acar_Wiese_Fahl_2024,
title={A Mixed-Methods Study on User Experiences and Challenges of Recovery Codes
for an End-to-End Encrypted Service}, booktitle={33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024}, publisher={USENIX
Association}, author={Höltervennhoff, Sandra and Wöhler, Noah and Möhle, Arne
and Oltrogge, Marten and Acar, Yasemin and Wiese, Oliver and Fahl, Sascha}, editor={Balzarotti,
Davide and Xu, Wenyuan}, year={2024} }'
chicago: Höltervennhoff, Sandra, Noah Wöhler, Arne Möhle, Marten Oltrogge, Yasemin
Acar, Oliver Wiese, and Sascha Fahl. “A Mixed-Methods Study on User Experiences
and Challenges of Recovery Codes for an End-to-End Encrypted Service.” In 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu. USENIX Association,
2024.
ieee: S. Höltervennhoff et al., “A Mixed-Methods Study on User Experiences
and Challenges of Recovery Codes for an End-to-End Encrypted Service,” in 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, 2024.
mla: Höltervennhoff, Sandra, et al. “A Mixed-Methods Study on User Experiences and
Challenges of Recovery Codes for an End-to-End Encrypted Service.” 33rd USENIX
Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August 14-16,
2024, edited by Davide Balzarotti and Wenyuan Xu, USENIX Association, 2024.
short: 'S. Höltervennhoff, N. Wöhler, A. Möhle, M. Oltrogge, Y. Acar, O. Wiese,
S. Fahl, in: D. Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX
Security 2024, Philadelphia, PA, USA, August 14-16, 2024, USENIX Association,
2024.'
date_created: 2024-08-19T08:02:52Z
date_updated: 2024-08-19T08:04:17Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: A Mixed-Methods Study on User Experiences and Challenges of Recovery Codes
for an End-to-End Encrypted Service
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55632'
author:
- first_name: Konstantin
full_name: Fischer, Konstantin
last_name: Fischer
- first_name: Ivana
full_name: Trummová, Ivana
last_name: Trummová
- first_name: Phillip
full_name: Gajland, Phillip
last_name: Gajland
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
- first_name: M. Angela
full_name: Sasse, M. Angela
last_name: Sasse
citation:
ama: 'Fischer K, Trummová I, Gajland P, Acar Y, Fahl S, Sasse MA. The Challenges
of Bringing Cryptography from Research Papers to Products: Results from an Interview
Study with Experts. In: Balzarotti D, Xu W, eds. 33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024. USENIX Association;
2024.'
apa: 'Fischer, K., Trummová, I., Gajland, P., Acar, Y., Fahl, S., & Sasse, M.
A. (2024). The Challenges of Bringing Cryptography from Research Papers to Products:
Results from an Interview Study with Experts. In D. Balzarotti & W. Xu (Eds.),
33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA,
August 14-16, 2024. USENIX Association.'
bibtex: '@inproceedings{Fischer_Trummová_Gajland_Acar_Fahl_Sasse_2024, title={The
Challenges of Bringing Cryptography from Research Papers to Products: Results
from an Interview Study with Experts}, booktitle={33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024}, publisher={USENIX
Association}, author={Fischer, Konstantin and Trummová, Ivana and Gajland, Phillip
and Acar, Yasemin and Fahl, Sascha and Sasse, M. Angela}, editor={Balzarotti,
Davide and Xu, Wenyuan}, year={2024} }'
chicago: 'Fischer, Konstantin, Ivana Trummová, Phillip Gajland, Yasemin Acar, Sascha
Fahl, and M. Angela Sasse. “The Challenges of Bringing Cryptography from Research
Papers to Products: Results from an Interview Study with Experts.” In 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu. USENIX Association,
2024.'
ieee: 'K. Fischer, I. Trummová, P. Gajland, Y. Acar, S. Fahl, and M. A. Sasse, “The
Challenges of Bringing Cryptography from Research Papers to Products: Results
from an Interview Study with Experts,” in 33rd USENIX Security Symposium, USENIX
Security 2024, Philadelphia, PA, USA, August 14-16, 2024, 2024.'
mla: 'Fischer, Konstantin, et al. “The Challenges of Bringing Cryptography from
Research Papers to Products: Results from an Interview Study with Experts.” 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu, USENIX Association,
2024.'
short: 'K. Fischer, I. Trummová, P. Gajland, Y. Acar, S. Fahl, M.A. Sasse, in: D.
Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium, USENIX Security 2024,
Philadelphia, PA, USA, August 14-16, 2024, USENIX Association, 2024.'
date_created: 2024-08-19T07:56:08Z
date_updated: 2024-08-19T08:04:21Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: 'The Challenges of Bringing Cryptography from Research Papers to Products:
Results from an Interview Study with Experts'
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '55634'
author:
- first_name: Marcel
full_name: Fourné, Marcel
last_name: Fourné
- first_name: Daniel De Almeida
full_name: Braga, Daniel De Almeida
last_name: Braga
- first_name: Jan
full_name: Jancar, Jan
last_name: Jancar
- first_name: Mohamed
full_name: Sabt, Mohamed
last_name: Sabt
- first_name: Peter
full_name: Schwabe, Peter
last_name: Schwabe
- first_name: Gilles
full_name: Barthe, Gilles
last_name: Barthe
- first_name: Pierre-Alain
full_name: Fouque, Pierre-Alain
last_name: Fouque
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
citation:
ama: 'Fourné M, Braga DDA, Jancar J, et al. “These results must be false”: A usability
evaluation of constant-time analysis tools. In: Balzarotti D, Xu W, eds. 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024. USENIX Association; 2024.'
apa: 'Fourné, M., Braga, D. D. A., Jancar, J., Sabt, M., Schwabe, P., Barthe, G.,
Fouque, P.-A., & Acar, Y. (2024). “These results must be false”: A usability
evaluation of constant-time analysis tools. In D. Balzarotti & W. Xu (Eds.),
33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA,
August 14-16, 2024. USENIX Association.'
bibtex: '@inproceedings{Fourné_Braga_Jancar_Sabt_Schwabe_Barthe_Fouque_Acar_2024,
title={“These results must be false”: A usability evaluation of constant-time
analysis tools}, booktitle={33rd USENIX Security Symposium, USENIX Security 2024,
Philadelphia, PA, USA, August 14-16, 2024}, publisher={USENIX Association}, author={Fourné,
Marcel and Braga, Daniel De Almeida and Jancar, Jan and Sabt, Mohamed and Schwabe,
Peter and Barthe, Gilles and Fouque, Pierre-Alain and Acar, Yasemin}, editor={Balzarotti,
Davide and Xu, Wenyuan}, year={2024} }'
chicago: 'Fourné, Marcel, Daniel De Almeida Braga, Jan Jancar, Mohamed Sabt, Peter
Schwabe, Gilles Barthe, Pierre-Alain Fouque, and Yasemin Acar. “‘These Results
Must Be False’: A Usability Evaluation of Constant-Time Analysis Tools.” In 33rd
USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA, USA, August
14-16, 2024, edited by Davide Balzarotti and Wenyuan Xu. USENIX Association,
2024.'
ieee: 'M. Fourné et al., “‘These results must be false’: A usability evaluation
of constant-time analysis tools,” in 33rd USENIX Security Symposium, USENIX
Security 2024, Philadelphia, PA, USA, August 14-16, 2024, 2024.'
mla: 'Fourné, Marcel, et al. “‘These Results Must Be False’: A Usability Evaluation
of Constant-Time Analysis Tools.” 33rd USENIX Security Symposium, USENIX Security
2024, Philadelphia, PA, USA, August 14-16, 2024, edited by Davide Balzarotti
and Wenyuan Xu, USENIX Association, 2024.'
short: 'M. Fourné, D.D.A. Braga, J. Jancar, M. Sabt, P. Schwabe, G. Barthe, P.-A.
Fouque, Y. Acar, in: D. Balzarotti, W. Xu (Eds.), 33rd USENIX Security Symposium,
USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024, USENIX Association,
2024.'
date_created: 2024-08-19T08:14:13Z
date_updated: 2024-08-19T08:25:10Z
department:
- _id: '740'
editor:
- first_name: Davide
full_name: Balzarotti, Davide
last_name: Balzarotti
- first_name: Wenyuan
full_name: Xu, Wenyuan
last_name: Xu
language:
- iso: eng
publication: 33rd USENIX Security Symposium, USENIX Security 2024, Philadelphia, PA,
USA, August 14-16, 2024
publisher: USENIX Association
status: public
title: '"These results must be false": A usability evaluation of constant-time analysis
tools'
type: conference
user_id: '15458'
year: '2024'
...
---
_id: '48576'
citation:
ama: Hartung O, Johannes Meyer-Hamme, Alexandra Krebs, eds. Geschichtskulturen
im digitalen Wandel? 1st ed. Wochenschau Verlag; 2024.
apa: Hartung, O., Johannes Meyer-Hamme, & Alexandra Krebs (Eds.). (2024). Geschichtskulturen
im digitalen Wandel? (1st ed.). Wochenschau Verlag.
bibtex: '@book{Hartung_Johannes Meyer-Hamme_Alexandra Krebs_2024, place={Frankfurt/M.},
edition={1}, series={Forum Historisches Lernen}, title={Geschichtskulturen im
digitalen Wandel?}, publisher={Wochenschau Verlag}, year={2024}, collection={Forum
Historisches Lernen} }'
chicago: 'Hartung, Olaf, Johannes Meyer-Hamme, and Alexandra Krebs, eds. Geschichtskulturen
im digitalen Wandel? 1st ed. Forum Historisches Lernen. Frankfurt/M.: Wochenschau
Verlag, 2024.'
ieee: 'O. Hartung, Johannes Meyer-Hamme, and Alexandra Krebs, Eds., Geschichtskulturen
im digitalen Wandel?, 1st ed. Frankfurt/M.: Wochenschau Verlag, 2024.'
mla: Hartung, Olaf, et al., editors. Geschichtskulturen im digitalen Wandel?
1st ed., Wochenschau Verlag, 2024.
short: O. Hartung, Johannes Meyer-Hamme, Alexandra Krebs, eds., Geschichtskulturen
im digitalen Wandel?, 1st ed., Wochenschau Verlag, Frankfurt/M., 2024.
corporate_editor:
- Johannes Meyer-Hamme
- Alexandra Krebs
date_created: 2023-10-31T15:32:42Z
date_updated: 2024-08-19T08:18:26Z
department:
- _id: '6'
- _id: '444'
edition: '1'
editor:
- first_name: Olaf
full_name: Hartung, Olaf
id: '79451'
last_name: Hartung
language:
- iso: ger
page: '352'
place: Frankfurt/M.
publication_identifier:
isbn:
- 978-3-7344-1629-3
issn:
- 1435-7658
publication_status: published
publisher: Wochenschau Verlag
related_material:
link:
- relation: table_of_contents
url: https://www.wochenschau-verlag.de/Geschichte-im-digitalen-Wandel/41629
series_title: Forum Historisches Lernen
status: public
title: Geschichtskulturen im digitalen Wandel?
type: book_editor
user_id: '79451'
year: '2024'
...