Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks. - Stefan Depeweg; José Miguel Hernández-Lobato; Finale Doshi-Velez; Steffen Udluft (ICLR (Poster), 2017)

A benchmark environment motivated by industrial control problems. - Daniel Hein 001; Stefan Depeweg; Michel Tokic; Steffen Udluft; Alexander Hentschel; Thomas A. Runkler; Volkmar Sterzing (SSCI, 2017)

Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems. - Stefan Depeweg; José Miguel Hernández-Lobato; Finale Doshi-Velez; Steffen Udluft (CoRR, 2017)

Sensitivity analysis for predictive uncertainty. - Stefan Depeweg; José Miguel Hernández-Lobato; Steffen Udluft; Thomas A. Runkler (ESANN, 2018)

Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning. - Stefan Depeweg; José Miguel Hernández-Lobato; Finale Doshi-Velez; Steffen Udluft (ICML, 2018)

Solving Bongard Problems with a Visual Language and Pragmatic Reasoning. - Stefan Depeweg; Constantin A. Rothkopf; Frank Jäkel (CoRR, 2018)

Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables. - Stefan Depeweg (2019)

Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data. - Nils Lehmann; Nina Maria Gottschling; Stefan Depeweg; Eric T. Nalisnick (CoRR, 2024)

Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning. - Nils Lehmann; Jakob Gawlikowski; Adam J. Stewart; Vytautas Jancauskas; Stefan Depeweg; Eric T. Nalisnick; Nina Maria Gottschling (CoRR, 2024)

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search. - Amna Najib; Stefan Depeweg; Phillip Swazinna (CoRR, 2024)

Solving Bongard Problems With a Visual Language and Pragmatic Constraints. - Stefan Depeweg; Constantin A. Rothkopf; Frank Jäkel (Cogn. Sci., 2024)

Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes. - Richard Bergna; Stefan Depeweg; Sergio Calvo-Ordoñez; Jonathan Plenk; Alvaro Cartea; José Miguel Hernández-Lobato (CoRR, 2025)