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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2024 | 2023 | 2022 | 2021
Anzahl der Publikationen: 17

2024

Scholl, Philipp; Iskandar, Maged; Wolf, Sebastian ORCID logoORCID: 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]

2023

Nguyen, Duc Anh; Levie, Ron; Lienen, Julian ORCID logoORCID: https://orcid.org/0000-0003-2162-8107; Hüllermeier, Eyke ORCID logoORCID: 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]

Kasneci, Enkelejda ORCID logoORCID: 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 logoORCID: https://orcid.org/0000-0002-9944-4108; Krusche, Stephan; Kutyniok, Gitta; Michaeli, Tilman; Nerdel, Claudia; Pfeffer, Jürgen; Poquet, Oleksandra ORCID logoORCID: https://orcid.org/0000-0001-9782-816X; Sailer, Michael ORCID logoORCID: https://orcid.org/0000-0001-6831-5429; Schmidt, Albrecht; Seidel, Tina ORCID logoORCID: https://orcid.org/0000-0002-2578-1208; Stadler, Matthias ORCID logoORCID: https://orcid.org/0000-0001-8241-8723; Weller, Jochen ORCID logoORCID: https://orcid.org/0000-0002-8282-2010; Kuhn, Jochen ORCID logoORCID: 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

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

2022

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

Tiep, Do; Levie van, Ron und Kutyniok, Gitta (2022): Analysis of simultaneous inpainting and geometric separation based on sparse decomposition. In: Analysis and Applications, Bd. 20, Nr. 2: S. 303-352

Maskey, Sohir; Levie, Ron und Kutyniok, Gitta (2022): Transferability of graph neural networks: An extended graphon approach. In: Applied and Computational Harmonic Analysis, Bd. 63: S. 48-83

Andrade-Loarca, Hector; Kutyniok, Gitta; Oektem, Ozan und Petersen, Philipp (2022): Deep microlocal reconstruction for limited-angle tomography. In: Applied and Computational Harmonic Analysis, Bd. 59: S. 155-197

2021

Hashemi, Ali; Cai, Chang; Kutyniok, Gitta; Mueller, Klaus-Robert; Nagarajan, Srikantan S. und Haufe, Stefan (2021): Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. In: Neuroimage, Bd. 239, 118309

Kutyniok, Gitta; Petersen, Philipp; Raslan, Mones und Schneider, Reinhold (2021): A Theoretical Analysis of Deep Neural Networks and Parametric PDEs. In: Constructive Approximation, Bd. 55, Nr. 1: S. 73-125

Levie, Ron; Yapar, Cagkan; Kutyniok, Gitta und Caire, Giuseppe (2021): RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. In: IEEE Transactions on Wireless Communications, Bd. 20, Nr. 6: S. 4001-4015

Oala, Luis; Heiß, Cosmas; Macdonald, Jan; Marz, Maximilian; Kutyniok, Gitta und Samek, Wojciech (2021): Detecting failure modes in image reconstructions with interval neural network uncertainty. In: International Journal of Computer Assisted Radiology and Surgery, Bd. 16, Nr. 12: S. 2089-2097

Wäldchen, Stephan; Macdonald, Jan; Hauch, Sascha und Kutyniok, Gitta (2021): The Computational Complexity of Understanding Binary Classifier Decisions. In: Journal of Artificial Intelligence Research, Bd. 70: S. 351-387

Gribonval, Remi; Kutyniok, Gitta; Nielsen, Morten und Voigtlaender, Felix (2021): Approximation Spaces of Deep Neural Networks. In: Constructive Approximation, Bd. 55, Nr. 1: S. 259-367

Diese Liste wurde am Sat Nov 23 18:38:28 2024 CET erstellt.