---
_id: '55276'
author:
- first_name: P.
full_name: Minelli, P.
last_name: Minelli
- first_name: A.
full_name: Sourmelidis, A.
last_name: Sourmelidis
- first_name: Marc
full_name: Technau, Marc
id: '106108'
last_name: Technau
orcid: 0000-0001-9650-2459
citation:
ama: Minelli P, Sourmelidis A, Technau M. On restricted averages of Dedekind sums.
Int Math Res Not IMRN. 2024;2024(10):8485–8502. doi:10.1093/imrn/rnad283
apa: Minelli, P., Sourmelidis, A., & Technau, M. (2024). On restricted averages
of Dedekind sums. Int. Math. Res. Not. IMRN, 2024(10), 8485–8502.
https://doi.org/10.1093/imrn/rnad283
bibtex: '@article{Minelli_Sourmelidis_Technau_2024, title={On restricted averages
of Dedekind sums}, volume={2024}, DOI={10.1093/imrn/rnad283},
number={10}, journal={Int. Math. Res. Not. IMRN}, author={Minelli, P. and Sourmelidis,
A. and Technau, Marc}, year={2024}, pages={8485–8502} }'
chicago: 'Minelli, P., A. Sourmelidis, and Marc Technau. “On Restricted Averages
of Dedekind Sums.” Int. Math. Res. Not. IMRN 2024, no. 10 (2024): 8485–8502.
https://doi.org/10.1093/imrn/rnad283.'
ieee: 'P. Minelli, A. Sourmelidis, and M. Technau, “On restricted averages of Dedekind
sums,” Int. Math. Res. Not. IMRN, vol. 2024, no. 10, pp. 8485–8502, 2024,
doi: 10.1093/imrn/rnad283.'
mla: Minelli, P., et al. “On Restricted Averages of Dedekind Sums.” Int. Math.
Res. Not. IMRN, vol. 2024, no. 10, 2024, pp. 8485–8502, doi:10.1093/imrn/rnad283.
short: P. Minelli, A. Sourmelidis, M. Technau, Int. Math. Res. Not. IMRN 2024 (2024)
8485–8502.
date_created: 2024-07-16T11:09:00Z
date_updated: 2024-07-24T07:23:20Z
department:
- _id: '102'
doi: 10.1093/imrn/rnad283
intvolume: ' 2024'
issue: '10'
language:
- iso: eng
page: 8485–8502
publication: Int. Math. Res. Not. IMRN
status: public
title: On restricted averages of Dedekind sums
type: journal_article
user_id: '106108'
volume: 2024
year: '2024'
...
---
_id: '55278'
author:
- first_name: Marc
full_name: Technau, Marc
id: '106108'
last_name: Technau
orcid: 0000-0001-9650-2459
citation:
ama: Technau M. Remark on the Farey fraction spin chain. Proc Amer Math Soc.
2024;152(1):63–69. doi:10.1090/proc/16520
apa: Technau, M. (2024). Remark on the Farey fraction spin chain. Proc. Amer.
Math. Soc., 152(1), 63–69. https://doi.org/10.1090/proc/16520
bibtex: '@article{Technau_2024, title={Remark on the Farey fraction spin chain},
volume={152}, DOI={10.1090/proc/16520},
number={1}, journal={Proc. Amer. Math. Soc.}, author={Technau, Marc}, year={2024},
pages={63–69} }'
chicago: 'Technau, Marc. “Remark on the Farey Fraction Spin Chain.” Proc. Amer.
Math. Soc. 152, no. 1 (2024): 63–69. https://doi.org/10.1090/proc/16520.'
ieee: 'M. Technau, “Remark on the Farey fraction spin chain,” Proc. Amer. Math.
Soc., vol. 152, no. 1, pp. 63–69, 2024, doi: 10.1090/proc/16520.'
mla: Technau, Marc. “Remark on the Farey Fraction Spin Chain.” Proc. Amer. Math.
Soc., vol. 152, no. 1, 2024, pp. 63–69, doi:10.1090/proc/16520.
short: M. Technau, Proc. Amer. Math. Soc. 152 (2024) 63–69.
date_created: 2024-07-16T11:09:01Z
date_updated: 2024-07-24T07:26:12Z
department:
- _id: '102'
doi: 10.1090/proc/16520
extern: '1'
intvolume: ' 152'
issue: '1'
language:
- iso: eng
page: 63–69
publication: Proc. Amer. Math. Soc.
status: public
title: Remark on the Farey fraction spin chain
type: journal_article
user_id: '106108'
volume: 152
year: '2024'
...
---
_id: '55388'
author:
- first_name: Enno
full_name: Adler, Enno
last_name: Adler
- first_name: Stefan
full_name: Böttcher, Stefan
id: '624'
last_name: Böttcher
- first_name: Rita
full_name: Hartel, Rita
id: '14961'
last_name: Hartel
citation:
ama: 'Adler E, Böttcher S, Hartel R. ITR: Grammar-based graph compression supporting
fast triple queries. In: 2024 Data Compression Conference (DCC). IEEE;
2024. doi:10.1109/dcc58796.2024.00062'
apa: 'Adler, E., Böttcher, S., & Hartel, R. (2024). ITR: Grammar-based graph
compression supporting fast triple queries. 2024 Data Compression Conference
(DCC). https://doi.org/10.1109/dcc58796.2024.00062'
bibtex: '@inproceedings{Adler_Böttcher_Hartel_2024, title={ITR: Grammar-based graph
compression supporting fast triple queries}, DOI={10.1109/dcc58796.2024.00062},
booktitle={2024 Data Compression Conference (DCC)}, publisher={IEEE}, author={Adler,
Enno and Böttcher, Stefan and Hartel, Rita}, year={2024} }'
chicago: 'Adler, Enno, Stefan Böttcher, and Rita Hartel. “ITR: Grammar-Based Graph
Compression Supporting Fast Triple Queries.” In 2024 Data Compression Conference
(DCC). IEEE, 2024. https://doi.org/10.1109/dcc58796.2024.00062.'
ieee: 'E. Adler, S. Böttcher, and R. Hartel, “ITR: Grammar-based graph compression
supporting fast triple queries,” 2024, doi: 10.1109/dcc58796.2024.00062.'
mla: 'Adler, Enno, et al. “ITR: Grammar-Based Graph Compression Supporting Fast
Triple Queries.” 2024 Data Compression Conference (DCC), IEEE, 2024, doi:10.1109/dcc58796.2024.00062.'
short: 'E. Adler, S. Böttcher, R. Hartel, in: 2024 Data Compression Conference (DCC),
IEEE, 2024.'
date_created: 2024-07-25T12:23:08Z
date_updated: 2024-07-25T12:25:50Z
department:
- _id: '69'
doi: 10.1109/dcc58796.2024.00062
language:
- iso: eng
publication: 2024 Data Compression Conference (DCC)
publication_status: published
publisher: IEEE
status: public
title: 'ITR: Grammar-based graph compression supporting fast triple queries'
type: conference
user_id: '14961'
year: '2024'
...
---
_id: '55338'
abstract:
- lang: eng
text: Metaphorical language is a pivotal element inthe realm of political framing.
Existing workfrom linguistics and the social sciences providescompelling evidence
regarding the distinctivenessof conceptual framing for politicalideology perspectives.
However, the nature andutilization of metaphors and the effect on audiencesof
different political ideologies withinpolitical discourses are hardly explored.
Toenable research in this direction, in this workwe create a dataset, originally
based on newseditorials and labeled with their persuasive effectson liberals and
conservatives and extend itwith annotations pertaining to metaphorical usageof
language. To that end, first, we identifyall single metaphors and composite metaphors.Secondly,
we provide annotations of the sourceand target domains for each metaphor. As aresult,
our corpus consists of 300 news editorialsannotated with spans of texts containingmetaphors
and the corresponding domains ofwhich these metaphors draw from. Our analysisshows
that liberal readers are affected bymetaphors, whereas conservatives are resistantto
them. Both ideologies are affected differentlybased on the metaphor source and
targetcategory. For example, liberals are affected bymetaphors in the Darkness
{&} Light (e.g., death)source domains, where as the source domain ofNature affects
conservatives more significantly.
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: Roxanne
full_name: El Baff, Roxanne
last_name: El Baff
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Sengupta M, El Baff R, Alshomary M, Wachsmuth H. Analyzing the Use of Metaphors
in News Editorials for Political Framing. In: Duh K, Gomez H, Bethard S, eds.
Proceedings of the 2024 Conference of the North American Chapter of the Association
for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).
Association for Computational Linguistics; 2024:3621–3631.'
apa: 'Sengupta, M., El Baff, R., Alshomary, M., & Wachsmuth, H. (2024). Analyzing
the Use of Metaphors in News Editorials for Political Framing. In K. Duh, H. Gomez,
& S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers) (pp. 3621–3631). Association for Computational Linguistics.'
bibtex: '@inproceedings{Sengupta_El Baff_Alshomary_Wachsmuth_2024, place={Mexico
City, Mexico}, title={Analyzing the Use of Metaphors in News Editorials for Political
Framing}, booktitle={Proceedings of the 2024 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers)}, publisher={Association for Computational Linguistics},
author={Sengupta, Meghdut and El Baff, Roxanne and Alshomary, Milad and Wachsmuth,
Henning}, editor={Duh, Kevin and Gomez, Helena and Bethard, Steven}, year={2024},
pages={3621–3631} }'
chicago: 'Sengupta, Meghdut, Roxanne El Baff, Milad Alshomary, and Henning Wachsmuth.
“Analyzing the Use of Metaphors in News Editorials for Political Framing.” In
Proceedings of the 2024 Conference of the North American Chapter of the Association
for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers),
edited by Kevin Duh, Helena Gomez, and Steven Bethard, 3621–3631. Mexico City,
Mexico: Association for Computational Linguistics, 2024.'
ieee: 'M. Sengupta, R. El Baff, M. Alshomary, and H. Wachsmuth, “Analyzing the Use
of Metaphors in News Editorials for Political Framing,” in Proceedings of the
2024 Conference of the North American Chapter of the Association for Computational
Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024, pp.
3621–3631.'
mla: 'Sengupta, Meghdut, et al. “Analyzing the Use of Metaphors in News Editorials
for Political Framing.” Proceedings of the 2024 Conference of the North American
Chapter of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers), edited by Kevin Duh et al., Association for Computational
Linguistics, 2024, pp. 3621–3631.'
short: 'M. Sengupta, R. El Baff, M. Alshomary, H. Wachsmuth, in: K. Duh, H. Gomez,
S. Bethard (Eds.), Proceedings of the 2024 Conference of the North American Chapter
of the Association for Computational Linguistics: Human Language Technologies
(Volume 1: Long Papers), Association for Computational Linguistics, Mexico City,
Mexico, 2024, pp. 3621–3631.'
date_created: 2024-07-22T13:08:12Z
date_updated: 2024-07-26T13:02:57Z
department:
- _id: '600'
- _id: '660'
editor:
- first_name: Kevin
full_name: Duh, Kevin
last_name: Duh
- first_name: Helena
full_name: Gomez, Helena
last_name: Gomez
- first_name: Steven
full_name: Bethard, Steven
last_name: Bethard
language:
- iso: eng
page: 3621–3631
place: Mexico City, Mexico
project:
- _id: '127'
name: 'TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens'
publication: 'Proceedings of the 2024 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language Technologies (Volume
1: Long Papers)'
publisher: Association for Computational Linguistics
status: public
title: Analyzing the Use of Metaphors in News Editorials for Political Framing
type: conference
user_id: '3900'
year: '2024'
...
---
_id: '55426'
author:
- first_name: 'Stefan '
full_name: 'Gabriel, Stefan '
last_name: Gabriel
- first_name: 'Tommy '
full_name: 'Falkowski, Tommy '
last_name: Falkowski
- first_name: 'Jannis '
full_name: 'Graunke, Jannis '
last_name: Graunke
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: 'Anike '
full_name: 'Murrenhoff, Anike '
last_name: Murrenhoff
- first_name: 'Veronika '
full_name: 'Kretzschmer, Veronika '
last_name: Kretzschmer
- first_name: 'Michael '
full_name: 'ten Hompel, Michael '
last_name: ten Hompel
citation:
ama: 'Gabriel S, Falkowski T, Graunke J, et al. Künstliche Intelligenz und industrielle
Arbeit – Perspektiven und Gestaltungsoptionen. In: Forschungsbeirat der Plattform
Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften (Hrsg.), ed.
Expertise des Forschungsbeirats Industrie 4.0. ; 2024.'
apa: Gabriel, S., Falkowski, T., Graunke, J., Dumitrescu, R., Murrenhoff, A., Kretzschmer,
V., & ten Hompel, M. (2024). Künstliche Intelligenz und industrielle Arbeit
– Perspektiven und Gestaltungsoptionen. In Forschungsbeirat der Plattform Industrie
4.0/acatech – Deutsche Akademie der Technikwissenschaften (Hrsg.) (Ed.), Expertise
des Forschungsbeirats Industrie 4.0.
bibtex: '@inbook{Gabriel_Falkowski_Graunke_Dumitrescu_Murrenhoff_Kretzschmer_ten
Hompel_2024, title={Künstliche Intelligenz und industrielle Arbeit – Perspektiven
und Gestaltungsoptionen}, booktitle={Expertise des Forschungsbeirats Industrie
4.0}, author={Gabriel, Stefan and Falkowski, Tommy and Graunke, Jannis and
Dumitrescu, Roman and Murrenhoff, Anike and Kretzschmer, Veronika and ten Hompel,
Michael }, editor={Forschungsbeirat der Plattform Industrie 4.0/acatech – Deutsche
Akademie der Technikwissenschaften (Hrsg.)}, year={2024} }'
chicago: Gabriel, Stefan , Tommy Falkowski, Jannis Graunke, Roman Dumitrescu,
Anike Murrenhoff, Veronika Kretzschmer, and Michael ten Hompel. “Künstliche
Intelligenz und industrielle Arbeit – Perspektiven und Gestaltungsoptionen.”
In Expertise des Forschungsbeirats Industrie 4.0, edited by Forschungsbeirat
der Plattform Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften
(Hrsg.), 2024.
ieee: S. Gabriel et al., “Künstliche Intelligenz und industrielle Arbeit
– Perspektiven und Gestaltungsoptionen,” in Expertise des Forschungsbeirats
Industrie 4.0, Forschungsbeirat der Plattform Industrie 4.0/acatech – Deutsche
Akademie der Technikwissenschaften (Hrsg.), Ed. 2024.
mla: Gabriel, Stefan, et al. “Künstliche Intelligenz und industrielle Arbeit –
Perspektiven und Gestaltungsoptionen.” Expertise des Forschungsbeirats Industrie
4.0, edited by Forschungsbeirat der Plattform Industrie 4.0/acatech – Deutsche
Akademie der Technikwissenschaften (Hrsg.), 2024.
short: 'S. Gabriel, T. Falkowski, J. Graunke, R. Dumitrescu, A. Murrenhoff, V. Kretzschmer,
M. ten Hompel, in: Forschungsbeirat der Plattform Industrie 4.0/acatech – Deutsche
Akademie der Technikwissenschaften (Hrsg.) (Ed.), Expertise des Forschungsbeirats
Industrie 4.0, 2024.'
corporate_editor:
- Forschungsbeirat der Plattform Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften
(Hrsg.)
date_created: 2024-07-29T13:23:15Z
date_updated: 2024-07-29T13:23:29Z
department:
- _id: '563'
language:
- iso: ger
publication: Expertise des Forschungsbeirats Industrie 4.0
publication_status: published
status: public
title: Künstliche Intelligenz und industrielle Arbeit – Perspektiven und Gestaltungsoptionen
type: book_chapter
user_id: '15782'
year: '2024'
...
---
_id: '55422'
author:
- first_name: 'Lynn '
full_name: 'Humpert, Lynn '
last_name: Humpert
- first_name: Jan-Philipp
full_name: Disselkamp, Jan-Philipp
last_name: Disselkamp
- first_name: 'Anja '
full_name: 'Schierbaum, Anja '
last_name: Schierbaum
- first_name: 'Kristin '
full_name: 'Zagatta, Kristin '
last_name: Zagatta
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Humpert L, Disselkamp J-P, Schierbaum A, Zagatta K, Dumitrescu R. Engineering
autonom wandelbarer Industrie 4.0-Systeme. In: Forschungsbeirat der Plattform
Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften (Hrsg.), ed.
Expertise des Forschungsbeirats Industrie 4.0. ; 2024.'
apa: Humpert, L., Disselkamp, J.-P., Schierbaum, A., Zagatta, K., & Dumitrescu,
R. (2024). Engineering autonom wandelbarer Industrie 4.0-Systeme. In Forschungsbeirat
der Plattform Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften
(Hrsg.) (Ed.), Expertise des Forschungsbeirats Industrie 4.0.
bibtex: '@inbook{Humpert_Disselkamp_Schierbaum_Zagatta_Dumitrescu_2024, title={Engineering
autonom wandelbarer Industrie 4.0-Systeme}, booktitle={Expertise des Forschungsbeirats
Industrie 4.0}, author={Humpert, Lynn and Disselkamp, Jan-Philipp and Schierbaum,
Anja and Zagatta, Kristin and Dumitrescu, Roman}, editor={Forschungsbeirat der
Plattform Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften
(Hrsg.)}, year={2024} }'
chicago: Humpert, Lynn , Jan-Philipp Disselkamp, Anja Schierbaum, Kristin Zagatta,
and Roman Dumitrescu. “Engineering autonom wandelbarer Industrie 4.0-Systeme.”
In Expertise des Forschungsbeirats Industrie 4.0, edited by Forschungsbeirat
der Plattform Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften
(Hrsg.), 2024.
ieee: L. Humpert, J.-P. Disselkamp, A. Schierbaum, K. Zagatta, and R. Dumitrescu,
“Engineering autonom wandelbarer Industrie 4.0-Systeme,” in Expertise des
Forschungsbeirats Industrie 4.0, Forschungsbeirat der Plattform Industrie
4.0/acatech – Deutsche Akademie der Technikwissenschaften (Hrsg.), Ed. 2024.
mla: Humpert, Lynn, et al. “Engineering autonom wandelbarer Industrie 4.0-Systeme.”
Expertise des Forschungsbeirats Industrie 4.0, edited by Forschungsbeirat
der Plattform Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften
(Hrsg.), 2024.
short: 'L. Humpert, J.-P. Disselkamp, A. Schierbaum, K. Zagatta, R. Dumitrescu,
in: Forschungsbeirat der Plattform Industrie 4.0/acatech – Deutsche Akademie der
Technikwissenschaften (Hrsg.) (Ed.), Expertise des Forschungsbeirats Industrie
4.0, 2024.'
corporate_editor:
- Forschungsbeirat der Plattform Industrie 4.0/acatech – Deutsche Akademie der Technikwissenschaften
(Hrsg.)
date_created: 2024-07-29T13:16:38Z
date_updated: 2024-07-29T13:16:53Z
department:
- _id: '563'
language:
- iso: ger
publication: Expertise des Forschungsbeirats Industrie 4.0
publication_status: published
status: public
title: Engineering autonom wandelbarer Industrie 4.0-Systeme
type: book_chapter
user_id: '15782'
year: '2024'
...
---
_id: '55436'
author:
- first_name: Bernd
full_name: Stöhr, Bernd
last_name: Stöhr
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Yasemin
full_name: Acar, Yasemin
last_name: Acar
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Stöhr B, Koldewey C, Acar Y, Dumitrescu R. Challenges for design and designers
in interdisciplinary product development: A qualitative interview study in industry.
In: Proceedings of DRS. Design Research Society; 2024. doi:10.21606/drs.2024.1001'
apa: 'Stöhr, B., Koldewey, C., Acar, Y., & Dumitrescu, R. (2024). Challenges
for design and designers in interdisciplinary product development: A qualitative
interview study in industry. Proceedings of DRS. https://doi.org/10.21606/drs.2024.1001'
bibtex: '@inproceedings{Stöhr_Koldewey_Acar_Dumitrescu_2024, title={Challenges for
design and designers in interdisciplinary product development: A qualitative interview
study in industry}, DOI={10.21606/drs.2024.1001},
booktitle={Proceedings of DRS}, publisher={Design Research Society}, author={Stöhr,
Bernd and Koldewey, Christian and Acar, Yasemin and Dumitrescu, Roman}, year={2024}
}'
chicago: 'Stöhr, Bernd, Christian Koldewey, Yasemin Acar, and Roman Dumitrescu.
“Challenges for Design and Designers in Interdisciplinary Product Development:
A Qualitative Interview Study in Industry.” In Proceedings of DRS. Design
Research Society, 2024. https://doi.org/10.21606/drs.2024.1001.'
ieee: 'B. Stöhr, C. Koldewey, Y. Acar, and R. Dumitrescu, “Challenges for design
and designers in interdisciplinary product development: A qualitative interview
study in industry,” 2024, doi: 10.21606/drs.2024.1001.'
mla: 'Stöhr, Bernd, et al. “Challenges for Design and Designers in Interdisciplinary
Product Development: A Qualitative Interview Study in Industry.” Proceedings
of DRS, Design Research Society, 2024, doi:10.21606/drs.2024.1001.'
short: 'B. Stöhr, C. Koldewey, Y. Acar, R. Dumitrescu, in: Proceedings of DRS, Design
Research Society, 2024.'
date_created: 2024-07-30T10:59:53Z
date_updated: 2024-07-30T11:22:14Z
department:
- _id: '563'
doi: 10.21606/drs.2024.1001
language:
- iso: eng
publication: Proceedings of DRS
publication_identifier:
issn:
- 2398-3132
publication_status: published
publisher: Design Research Society
status: public
title: 'Challenges for design and designers in interdisciplinary product development:
A qualitative interview study in industry'
type: conference
user_id: '15782'
year: '2024'
...
---
_id: '55453'
author:
- first_name: Lillian Donna
full_name: Namujju, Lillian Donna
last_name: Namujju
- first_name: Ibrahim
full_name: Mwammenywa, Ibrahim
last_name: Mwammenywa
- first_name: Geoffrey Mark
full_name: Kagarura, Geoffrey Mark
id: '88623'
last_name: Kagarura
- first_name: Ulrich
full_name: Hilleringmann, Ulrich
id: '20179'
last_name: Hilleringmann
- first_name: Burkhard
full_name: Hehenkamp, Burkhard
id: '37339'
last_name: Hehenkamp
citation:
ama: 'Namujju LD, Mwammenywa I, Kagarura GM, Hilleringmann U, Hehenkamp B. Smart
Metering and Choice Architecture in Demand-Side Management: A Power Resource-Constrained
Perspective. In: 2024 IEEE 8th Energy Conference (ENERGYCON). IEEE; 2024.
doi:10.1109/energycon58629.2024.10488738'
apa: 'Namujju, L. D., Mwammenywa, I., Kagarura, G. M., Hilleringmann, U., &
Hehenkamp, B. (2024). Smart Metering and Choice Architecture in Demand-Side Management:
A Power Resource-Constrained Perspective. 2024 IEEE 8th Energy Conference (ENERGYCON).
https://doi.org/10.1109/energycon58629.2024.10488738'
bibtex: '@inproceedings{Namujju_Mwammenywa_Kagarura_Hilleringmann_Hehenkamp_2024,
title={Smart Metering and Choice Architecture in Demand-Side Management: A Power
Resource-Constrained Perspective}, DOI={10.1109/energycon58629.2024.10488738},
booktitle={2024 IEEE 8th Energy Conference (ENERGYCON)}, publisher={IEEE}, author={Namujju,
Lillian Donna and Mwammenywa, Ibrahim and Kagarura, Geoffrey Mark and Hilleringmann,
Ulrich and Hehenkamp, Burkhard}, year={2024} }'
chicago: 'Namujju, Lillian Donna, Ibrahim Mwammenywa, Geoffrey Mark Kagarura, Ulrich
Hilleringmann, and Burkhard Hehenkamp. “Smart Metering and Choice Architecture
in Demand-Side Management: A Power Resource-Constrained Perspective.” In 2024
IEEE 8th Energy Conference (ENERGYCON). IEEE, 2024. https://doi.org/10.1109/energycon58629.2024.10488738.'
ieee: 'L. D. Namujju, I. Mwammenywa, G. M. Kagarura, U. Hilleringmann, and B. Hehenkamp,
“Smart Metering and Choice Architecture in Demand-Side Management: A Power Resource-Constrained
Perspective,” 2024, doi: 10.1109/energycon58629.2024.10488738.'
mla: 'Namujju, Lillian Donna, et al. “Smart Metering and Choice Architecture in
Demand-Side Management: A Power Resource-Constrained Perspective.” 2024 IEEE
8th Energy Conference (ENERGYCON), IEEE, 2024, doi:10.1109/energycon58629.2024.10488738.'
short: 'L.D. Namujju, I. Mwammenywa, G.M. Kagarura, U. Hilleringmann, B. Hehenkamp,
in: 2024 IEEE 8th Energy Conference (ENERGYCON), IEEE, 2024.'
date_created: 2024-07-31T08:25:03Z
date_updated: 2024-07-31T08:40:29Z
department:
- _id: '59'
- _id: '280'
doi: 10.1109/energycon58629.2024.10488738
language:
- iso: eng
publication: 2024 IEEE 8th Energy Conference (ENERGYCON)
publication_status: published
publisher: IEEE
status: public
title: 'Smart Metering and Choice Architecture in Demand-Side Management: A Power
Resource-Constrained Perspective'
type: conference
user_id: '16148'
year: '2024'
...
---
_id: '55452'
author:
- first_name: Lillian Donna
full_name: Namujju, Lillian Donna
last_name: Namujju
- first_name: Ibrahim
full_name: Mwammenywa, Ibrahim
last_name: Mwammenywa
- first_name: Geoffrey Mark
full_name: Kagarura, Geoffrey Mark
id: '88623'
last_name: Kagarura
- first_name: Ulrich
full_name: Hilleringmann, Ulrich
id: '20179'
last_name: Hilleringmann
- first_name: Burkhard
full_name: Hehenkamp, Burkhard
id: '37339'
last_name: Hehenkamp
citation:
ama: 'Namujju LD, Mwammenywa I, Kagarura GM, Hilleringmann U, Hehenkamp B. Smart
Metering and Choice Architecture in Demand-Side Management: A Power Resource-Constrained
Perspective. In: 2024 IEEE 8th Energy Conference (ENERGYCON). IEEE; 2024.
doi:10.1109/energycon58629.2024.10488738'
apa: 'Namujju, L. D., Mwammenywa, I., Kagarura, G. M., Hilleringmann, U., &
Hehenkamp, B. (2024). Smart Metering and Choice Architecture in Demand-Side Management:
A Power Resource-Constrained Perspective. 2024 IEEE 8th Energy Conference (ENERGYCON).
https://doi.org/10.1109/energycon58629.2024.10488738'
bibtex: '@inproceedings{Namujju_Mwammenywa_Kagarura_Hilleringmann_Hehenkamp_2024,
title={Smart Metering and Choice Architecture in Demand-Side Management: A Power
Resource-Constrained Perspective}, DOI={10.1109/energycon58629.2024.10488738},
booktitle={2024 IEEE 8th Energy Conference (ENERGYCON)}, publisher={IEEE}, author={Namujju,
Lillian Donna and Mwammenywa, Ibrahim and Kagarura, Geoffrey Mark and Hilleringmann,
Ulrich and Hehenkamp, Burkhard}, year={2024} }'
chicago: 'Namujju, Lillian Donna, Ibrahim Mwammenywa, Geoffrey Mark Kagarura, Ulrich
Hilleringmann, and Burkhard Hehenkamp. “Smart Metering and Choice Architecture
in Demand-Side Management: A Power Resource-Constrained Perspective.” In 2024
IEEE 8th Energy Conference (ENERGYCON). IEEE, 2024. https://doi.org/10.1109/energycon58629.2024.10488738.'
ieee: 'L. D. Namujju, I. Mwammenywa, G. M. Kagarura, U. Hilleringmann, and B. Hehenkamp,
“Smart Metering and Choice Architecture in Demand-Side Management: A Power Resource-Constrained
Perspective,” 2024, doi: 10.1109/energycon58629.2024.10488738.'
mla: 'Namujju, Lillian Donna, et al. “Smart Metering and Choice Architecture in
Demand-Side Management: A Power Resource-Constrained Perspective.” 2024 IEEE
8th Energy Conference (ENERGYCON), IEEE, 2024, doi:10.1109/energycon58629.2024.10488738.'
short: 'L.D. Namujju, I. Mwammenywa, G.M. Kagarura, U. Hilleringmann, B. Hehenkamp,
in: 2024 IEEE 8th Energy Conference (ENERGYCON), IEEE, 2024.'
date_created: 2024-07-31T08:22:37Z
date_updated: 2024-07-31T08:40:34Z
department:
- _id: '59'
- _id: '280'
doi: 10.1109/energycon58629.2024.10488738
language:
- iso: eng
publication: 2024 IEEE 8th Energy Conference (ENERGYCON)
publication_status: published
publisher: IEEE
status: public
title: 'Smart Metering and Choice Architecture in Demand-Side Management: A Power
Resource-Constrained Perspective'
type: conference
user_id: '16148'
year: '2024'
...
---
_id: '55455'
author:
- first_name: Ibrahim Abdallah
full_name: Mwammenywa, Ibrahim Abdallah
last_name: Mwammenywa
citation:
ama: Mwammenywa IA. A Novel Autonomous and Real-Time Load Monitoring and Control
System in Microgrids Based on Fuzzy Logic Control and LoRa Wireless Communication.;
2024.
apa: Mwammenywa, I. A. (2024). A Novel Autonomous and Real-time Load Monitoring
and Control System in Microgrids based on Fuzzy Logic Control and LoRa Wireless
Communication.
bibtex: '@book{Mwammenywa_2024, title={A Novel Autonomous and Real-time Load Monitoring
and Control System in Microgrids based on Fuzzy Logic Control and LoRa Wireless
Communication}, author={Mwammenywa, Ibrahim Abdallah}, year={2024} }'
chicago: Mwammenywa, Ibrahim Abdallah. A Novel Autonomous and Real-Time Load
Monitoring and Control System in Microgrids Based on Fuzzy Logic Control and LoRa
Wireless Communication, 2024.
ieee: I. A. Mwammenywa, A Novel Autonomous and Real-time Load Monitoring and
Control System in Microgrids based on Fuzzy Logic Control and LoRa Wireless Communication.
2024.
mla: Mwammenywa, Ibrahim Abdallah. A Novel Autonomous and Real-Time Load Monitoring
and Control System in Microgrids Based on Fuzzy Logic Control and LoRa Wireless
Communication. 2024.
short: I.A. Mwammenywa, A Novel Autonomous and Real-Time Load Monitoring and Control
System in Microgrids Based on Fuzzy Logic Control and LoRa Wireless Communication,
2024.
date_created: 2024-07-31T08:28:19Z
date_updated: 2024-07-31T08:40:20Z
department:
- _id: '59'
language:
- iso: eng
status: public
title: A Novel Autonomous and Real-time Load Monitoring and Control System in Microgrids
based on Fuzzy Logic Control and LoRa Wireless Communication
type: dissertation
user_id: '16148'
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: '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: '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'
...