| 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 | 454 | 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 | 199 | 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 | 64 | 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 | 46 | 2017 |
| Solving Bongard Problems With a Visual Language and Pragmatic Constraints S Depeweg, CA Rothkopf, F Jäkel Cognitive Science 48 (5), e13432, 2024 | 34* | 2024 |
| Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables S Depeweg PhD Thesis, 2019 | 33 | 2019 |
| Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks S Depeweg, JM Hernández-Lobato, S Udluft, T Runkler ESANN 2018, 2018 | 19 | 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 App. 17/802,224, 2023 | 1 | 2023 |
| 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 |
| Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data N Lehmann, NM Gottschling, S Depeweg, E Nalisnick arXiv preprint arXiv:2404.08325, 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 |
| Computer-aided design method and design system S Depeweg, B Nouri, V Sterzing US Patent App. 17/926,117, 2023 | | 2023 |
| A Comparison of Uncertainty Quantification Methods for Earth Observation Image Regression Data N Lehmann, NM Gottschling, S Depeweg, E Nalisnick | | 2023 |
| Method and system for controlling a production plant to manufacture a product K Heesche, S Depeweg, M Kaiser US Patent App. 17/691,190, 2022 | | 2022 |
| ALICE III—Autonomes Lernen in Komplexen Umgebungen III A von Beuningen, V Brandstetter, P von Bünau, S Depeweg, R Glauert, ... | | 2022 |
| Method and device for training a machine learning routine for controlling a technical system MM Geipel, S Depeweg, C Tietz, G Marquardt, D Seidel US Patent App. 17/265,476, 2021 | | 2021 |
| Computer-implemented method for estimating a technical behaviour of a device S Depeweg, MM Geipel, M Kaiser, S Udluft EP Patent EP3623881A1, 2020 | | 2020 |
