Decomposition of uncertainty in bayesian deep learning for efficient and risk-sensitive learning S Depeweg, JM Hernández-Lobato, F Doshi-Velez, S Udluft ICML, 2018 | 525 | 2018 |
Learning and policy search in stochastic dynamical systems with bayesian neural networks S Depeweg, JM Hernández-Lobato, F Doshi-Velez, S Udluft International Conference on Learning Representations (ICLR 2017), 2017 | 220 | 2017 |
A Benchmark Environment Motivated by Industrial Control Problems D Hein, S Depeweg, M Tokic, S Udluft, A Hentschel, TA Runkler, ... IEEE Symposium on Computational Intelligence (IEEE SSCI 2017), 2017 | 76 | 2017 |
Uncertainty Decomposition in Bayesian Neural Networks with Latent Variables S Depeweg, JM Hernández-Lobato, F Doshi-Velez, S Udluft ICML 2017 Workshop on Reliable Machine Learning in the Wild, 2017 | 48 | 2017 |
Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables S Depeweg PhD Thesis, 2019 | 41 | 2019 |
Solving bongard problems with a visual language and pragmatic constraints S Depeweg, CA Rothkopf, F Jäkel Cognitive Science 48 (5), e13432, 2024 | 40 | 2024 |
Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks S Depeweg, JM Hernández-Lobato, S Udluft, T Runkler ESANN 2018, 2018 | 22 | 2018 |
Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing EA Antonelo, S Depeweg, B Schrauwen X Brazilian Congress on Computational Intelligence (CBIC), 2011 | 5 | 2011 |
Method and device for predicting the time remaining of a signal phase S Depeweg, S Udluft US Patent 12,148,293, 2024 | 1 | 2024 |
Uncertainty aware tropical cyclone wind speed estimation from satellite data N Lehmann, NM Gottschling, S Depeweg, E Nalisnick arXiv preprint arXiv:2404.08325, 2024 | 1 | 2024 |
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes R Bergna, S Depeweg, SC Ordonez, J Plenk, A Cartea, ... arXiv preprint arXiv:2502.20966, 2025 | | 2025 |
Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search A Najib, S Depeweg, P Swazinna CoRL Workshop on Safe and Robust Robot Learning for Operation in the Real World, 2024 | | 2024 |
Method and system for controlling a production system M Kaiser, K Heesche, S Depeweg US Patent App. 18/293,859, 2024 | | 2024 |
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning N Lehmann, J Gawlikowski, AJ Stewart, V Jancauskas, S Depeweg, ... arXiv preprint arXiv:2410.03390, 2024 | | 2024 |
Method and system for controlling a production system to manufacture a product S Depeweg, K Heesche, G Amine-Eddine US Patent App. 18/441,652, 2024 | | 2024 |
Method and system for controlling a production system S Depeweg, K Heesche, M Kaiser US Patent App. 18/562,370, 2024 | | 2024 |
Method for determining at least one remaining time value, to be determined, for a system S Depeweg, H Frank, M Tokic, S Udluft, MC Weber US Patent 12,033,505, 2024 | | 2024 |
Method for reproducing noise components of lossy recorded operating signals, and control device S Depeweg, K Heesche US Patent App. 18/266,664, 2024 | | 2024 |
Surrogate Models for 3D Finite Element Creep Analysis Acceleration J Abdallah, S Depeweg, M Kuznetsova, B Nouri Turbo Expo: Power for Land, Sea, and Air 87110, V13DT34A002, 2023 | | 2023 |
A Comparison of Uncertainty Quantification Methods for Earth Observation Image Regression Data N Lehmann, NM Gottschling, S Depeweg, E Nalisnick | | 2023 |