Anzahl der Publikationen: 17
Zeitschriftenartikel
Scholl, Philipp; Iskandar, Maged; Wolf, Sebastian ORCID: https://orcid.org/0000-0001-5298-8901; Lee, Jinoh; Bacho, Aras; Dietrich, Alexander; Albu-Schäffer, Alin und Kutyniok, Gitta
(2024):
Learning-based adaption of robotic friction models.
In: Robotics and Computer-Integrated Manufacturing, Bd. 89, 102780
[PDF, 4MB]
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
Buchbeitrag
Grohs, Philipp und Kutyniok, Gitta
(2023):
Preface.
In: Grohs, Philipp und Kutyniok, Gitta (Hrsg.):
Mathematical Aspects of Deep Learning. Cambridge: Cambridge University Press.
XV-XVIII
Gühring, Ingo; Raslan, Mones und Kutyniok, Gitta
(2023):
Expressivity of Deep Neural Networks.
In: Grohs, Philipp und Kutyniok, Gitta (Hrsg.):
Mathematical Aspects of Deep Learning. Cambridge: Cambridge University Press. S. 149-199
Berner, Julius; Grohs, Philipp; Kutyniok, Gitta und Petersen, Philipp
(2023):
The Modern Mathematics of Deep Learning.
In: Grohs, Philipp und Kutyniok, Gitta (Hrsg.):
Mathematical Aspects of Deep Learning. Cambridge: Cambridge University Press. S. 1-111
Konferenzbeitrag
Nguyen, Duc Anh; Levie, Ron; Lienen, Julian ORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Kutyniok, Gitta
(Mai 2023):
Memorization-Dilation: Modeling Neural Collapse Under Noise.
The Eleventh International Conference on Learning Representations, Kigali, Rwanda, 1-5 May, 2023.
[PDF, 510kB]
Yapar, Cagkan; Levie, Ron; Kutyniok, Gitta und Caire, Giuseppe
(2022):
LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning.
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 7-13 May 2022 Virtual, 22-27 May 2022 (Main Venue).
In: 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings,
Piscataway, NJ: IEEE. S. 4063-4067
Kolek, Stefan; Nguyen, Duc Anh; Levie, Ron; Bruna, Joan und Kutyniok, Gitta
(2022):
Cartoon Explanations of Image Classifiers.
17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, October 23–27, 2022.
Avidan, Shai; Brostow, Gabriel; Cissé, Moustapha; Farinella, Giovanni Maria und Hassner, Tal (Hrsg.):
In: Computer Vision – ECCV 2022, Lecture Notes in Computer Science
Bd. 13672
Cham: Springer. S. 443-458
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