Stefan Depeweg

16 papers A* 1B 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Activation-Space Uncertainty Quantification for Pretrained Networks. CoRR Richard Bergna, Stefan Depeweg, Sergio Calvo-Ordoñez, Jonathan Plenk, Álvaro Cartea, José Miguel Hernández-Lobato
2025	J	`jnl`	Lightning UQ Box: Uncertainty Quantification for Neural Networks. J. Mach. Learn. Res. Nils Lehmann, Nina Maria Gottschling, Jakob Gawlikowski, Adam J. Stewart, Stefan Depeweg, Eric T. Nalisnick
2025	J	`jnl`	Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes. CoRR Richard Bergna, Stefan Depeweg, Sergio Calvo-Ordoñez, Jonathan Plenk, Álvaro Cartea, José Miguel Hernández-Lobato
2024	J	`jnl`	Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search. CoRR Amna Najib, Stefan Depeweg, Phillip Swazinna
2024	J	`jnl`	Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning. CoRR Nils Lehmann, Jakob Gawlikowski, Adam J. Stewart, Vytautas Jancauskas, Stefan Depeweg, Eric T. Nalisnick, Nina Maria Gottschling
2024	J	`jnl`	Solving Bongard Problems With a Visual Language and Pragmatic Constraints. Cogn. Sci. Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel
2024	J	`jnl`	Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data. CoRR Nils Lehmann, Nina Maria Gottschling, Stefan Depeweg, Eric T. Nalisnick
2019	—	`—`	Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables. Stefan Depeweg
2018	A*	`conf`	Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning. ICML Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft
2018	B	`conf`	Sensitivity analysis for predictive uncertainty. ESANN Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft, Thomas A. Runkler
2018	J	`jnl`	Solving Bongard Problems with a Visual Language and Pragmatic Reasoning. CoRR Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel
2017	J	`jnl`	A Benchmark Environment Motivated by Industrial Control Problems. CoRR Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017	—	`conf`	A benchmark environment motivated by industrial control problems. SSCI Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017	J	`jnl`	Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems. CoRR Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft
2017	—	`conf`	Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks. ICLR (Poster) Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft
2016	J	`jnl`	Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks. CoRR Stefan Depeweg, José Miguel Hernández-Lobato, Finale Doshi-Velez, Steffen Udluft