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Dokumententyp
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Anzahl der Publikationen: 3
Paper
Kasneci, Enkelejda 
ORCID: https://orcid.org/0000-0003-3146-4484; Seßler, Kathrin; Küchemann, Stefan; Bannert, Maria; Dementieva, Daryna; Fischer, Frank; Gasser, Urs; Groh, Georg; Günnemann, Stephan; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Krusche, Stephan; Kutyniok, Gitta; Michaeli, Tilman; Nerdel, Claudia; Pfeffer, Jürgen; Poquet, Oleksandra ORCID: https://orcid.org/0000-0001-9782-816X; Sailer, Michael ORCID: https://orcid.org/0000-0001-6831-5429; Schmidt, Albrecht; Seidel, Tina ORCID: https://orcid.org/0000-0002-2578-1208; Stadler, Matthias ORCID: https://orcid.org/0000-0001-8241-8723; Weller, Jochen ORCID: https://orcid.org/0000-0002-8282-2010; Kuhn, Jochen ORCID: https://orcid.org/0000-0002-6985-3218 und Kasneci, Gjergji
(Januar 2023):
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education.
EdArXiv
ORCID: https://orcid.org/0000-0003-3146-4484; Seßler, Kathrin; Küchemann, Stefan; Bannert, Maria; Dementieva, Daryna; Fischer, Frank; Gasser, Urs; Groh, Georg; Günnemann, Stephan; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Krusche, Stephan; Kutyniok, Gitta; Michaeli, Tilman; Nerdel, Claudia; Pfeffer, Jürgen; Poquet, Oleksandra ORCID: https://orcid.org/0000-0001-9782-816X; Sailer, Michael ORCID: https://orcid.org/0000-0001-6831-5429; Schmidt, Albrecht; Seidel, Tina ORCID: https://orcid.org/0000-0002-2578-1208; Stadler, Matthias ORCID: https://orcid.org/0000-0001-8241-8723; Weller, Jochen ORCID: https://orcid.org/0000-0002-8282-2010; Kuhn, Jochen ORCID: https://orcid.org/0000-0002-6985-3218 und Kasneci, Gjergji
(Januar 2023):
ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education.
EdArXiv
Buchbeitrag
Koner, Rajat; Li, Hang; Hildebrandt, Marcel; Das, Deepan; Tresp, Volker und Günnemann, Stephan
(2021):
Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering.
In: Hotho, Abdreas; Blomquist, Eva; Dietze, Stefan; Fokoue, Achille; Ding, Ying; Barnaghi, Payam; Haller, Armin; Dragoni, Mauro und Alani, Harith (Hrsg.):
The Semantic Web – ISWC 2021 : 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24–28, 2021, Proceedings. Lecture Notes in Computer Science (LNCS), Bd. 12922. Cham: Springer. S. 111-127
Konferenzbeitrag
Wiese, Jonas Gregor; Wimmer, Lisa; Papamarkou, Theodore; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Günnemann, Stephan und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2023):
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 459-474
ORCID: https://orcid.org/0000-0001-6002-6980; Günnemann, Stephan und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2023):
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 459-474
