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 | 416 | 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 | 192 | 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 | 63 | 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 | 42 | 2017 |
Solving bongard problems with a visual language and pragmatic reasoning S Depeweg, CA Rothkopf, F Jäkel arXiv preprint arXiv:1804.04452, 2018 | 32 | 2018 |
Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables S Depeweg PhD Thesis, 2019 | 31 | 2019 |
Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks S Depeweg, JM Hernández-Lobato, S Udluft, T Runkler ESANN 2018, 2018 | 18 | 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 |
Solving Bongard Problems With a Visual Language and Pragmatic Constraints S Depeweg, CA Rothkopf, F Jäkel Cognitive Science 48 (5), e13432, 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 |
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 |
Computer-implemented method for estimating a technical behaviour of a device S Depeweg, MM Geipel, M Kaiser, S Udluft EP Patent EP3623881A1, 2020 | | 2020 |
Method and device for the training of a machining learning routine for controlling a technical system S Depeweg, MM Geipel, G Marquardt, D Seidel, C Tietz EP Patent EP3605404A1, 2020 | | 2020 |
Method for predicting a switching time of a signal group of a signaling system S Depeweg, H Frank, R Grothmann, F Rudolph, V Sterzing, M Tokic, ... DE Patent DE102017213350A1, 2019 | | 2019 |