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Books and Theses
- 2019
[b1]Stefan Depeweg:
Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables. Technical University of Munich, Germany, 2019
Journal Articles
- 2024
- [j1]Stefan Depeweg, Constantin A. Rothkopf
, Frank Jäkel:
Solving Bongard Problems With a Visual Language and Pragmatic Constraints. Cogn. Sci. 48(5) (2024)
Conference and Workshop Papers
- 2018
- [c4]Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler:
Sensitivity analysis for predictive uncertainty. ESANN 2018 - [c3]Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft:
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning. ICML 2018: 1192-1201 - 2017
- [c2]Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft:
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks. ICLR (Poster) 2017 - [c1]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A benchmark environment motivated by industrial control problems. SSCI 2017: 1-8
Informal and Other Publications
- 2024
- [i6]Nils Lehmann, Nina Maria Gottschling, Stefan Depeweg, Eric T. Nalisnick:
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data. CoRR abs/2404.08325 (2024) - [i5]Nils Lehmann, Jakob Gawlikowski, Adam J. Stewart, Vytautas Jancauskas, Stefan Depeweg, Eric T. Nalisnick, Nina Maria Gottschling:
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning. CoRR abs/2410.03390 (2024) - 2018
- [i4]Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel:
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning. CoRR abs/1804.04452 (2018) - 2017
- [i3]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A Benchmark Environment Motivated by Industrial Control Problems. CoRR abs/1709.09480 (2017) - [i2]Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft:
Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems. CoRR abs/1710.07283 (2017) - 2016
- [i1]Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft:
Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks. CoRR abs/1605.07127 (2016)
Coauthor Index
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