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ORCIDTobias Uelwer
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Books and Theses
- 2023
[b1]Tobias Uelwer:
Approaching phase retrieval with deep learning. Dortmund University, Germany, 2023
Journal Articles
- 2023
- [j4]Tobias Uelwer, Sebastian Konietzny, Alexander Oberstraß, Stefan Harmeling:
Learning Conditional Generative Models for Phase Retrieval. J. Mach. Learn. Res. 24: 332:1-332:28 (2023) - [j3]Jan Robine, Tobias Uelwer, Stefan Harmeling:
Smaller World Models for Reinforcement Learning. Neural Process. Lett. 55(8): 11397-11427 (2023) - 2022
- [j2]Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling:
Optimizing Intermediate Representations of Generative Models for Phase Retrieval. Trans. Mach. Learn. Res. 2022 (2022) - 2020
- [j1]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
PyMatting: A Python Library for Alpha Matting. J. Open Source Softw. 5(54): 2481 (2020)
Conference and Workshop Papers
- 2023
- [c6]Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling:
Transformer-based World Models Are Happy With 100k Interactions. ICLR 2023 - 2021
- [c5]Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling:
Non-iterative Phase Retrieval with Cascaded Neural Networks. ICANN (2) 2021: 295-306 - [c4]Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling:
Learning to Plan via a Multi-step Policy Regression Method. ICANN (4) 2021: 481-492 - [c3]Tobias Uelwer, Felix Michels, Oliver De Candido
:
Learning to Detect Adversarial Examples Based on Class Scores. KI 2021: 233-240 - 2020
- [c2]Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling:
Phase Retrieval Using Conditional Generative Adversarial Networks. ICPR 2020: 731-738 - [c1]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
Fast Multi-Level Foreground Estimation. ICPR 2020: 1104-1111
Editorship
- 2023
- [e1]Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang:
Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 239, PMLR 2023 [contents]
Informal and Other Publications
- 2023
- [i14]Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling:
Transformer-based World Models Are Happy With 100k Interactions. CoRR abs/2303.07109 (2023) - [i13]Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling:
A Survey on Self-Supervised Representation Learning. CoRR abs/2308.11455 (2023) - [i12]Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer:
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data. CoRR abs/2309.06948 (2023) - 2022
- [i11]Thomas Germer, Tobias Uelwer, Stefan Harmeling:
Deblurring Photographs of Characters Using Deep Neural Networks. CoRR abs/2205.15053 (2022) - [i10]Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling:
Optimizing Intermediate Representations of Generative Models for Phase Retrieval. CoRR abs/2205.15617 (2022) - 2021
- [i9]Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling:
Learning to Plan via a Multi-Step Policy Regression Method. CoRR abs/2106.10075 (2021) - [i8]Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling:
Non-Iterative Phase Retrieval With Cascaded Neural Networks. CoRR abs/2106.10195 (2021) - [i7]Tobias Uelwer, Felix Michels, Oliver De Candido:
Learning to Detect Adversarial Examples Based on Class Scores. CoRR abs/2107.04435 (2021) - [i6]Tobias Uelwer, Nick Rucks, Stefan Harmeling:
A Closer Look at Reference Learning for Fourier Phase Retrieval. CoRR abs/2110.13688 (2021) - 2020
- [i5]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
PyMatting: A Python Library for Alpha Matting. CoRR abs/2003.12382 (2020) - [i4]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
Fast Multi-Level Foreground Estimation. CoRR abs/2006.14970 (2020) - [i3]Jan Robine, Tobias Uelwer, Stefan Harmeling:
Discrete Latent Space World Models for Reinforcement Learning. CoRR abs/2010.05767 (2020) - 2019
- [i2]Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling:
On the Vulnerability of Capsule Networks to Adversarial Attacks. CoRR abs/1906.03612 (2019) - [i1]Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling:
Phase Retrieval using Conditional Generative Adversarial Networks. CoRR abs/1912.04981 (2019)
Coauthor Index
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