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Stefan Depeweg
Stefan Depeweg
Siemens AG
Zweryfikowany adres z uos.de
Tytuł
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Cytowane przez
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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
5252018
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
2202017
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
762017
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
482017
Modeling Epistemic and Aleatoric Uncertainty with Bayesian Neural Networks and Latent Variables
S Depeweg
PhD Thesis, 2019
412019
Solving bongard problems with a visual language and pragmatic constraints
S Depeweg, CA Rothkopf, F Jäkel
Cognitive Science 48 (5), e13432, 2024
402024
Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks
S Depeweg, JM Hernández-Lobato, S Udluft, T Runkler
ESANN 2018, 2018
222018
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
52011
Method and device for predicting the time remaining of a signal phase
S Depeweg, S Udluft
US Patent 12,148,293, 2024
12024
Uncertainty aware tropical cyclone wind speed estimation from satellite data
N Lehmann, NM Gottschling, S Depeweg, E Nalisnick
arXiv preprint arXiv:2404.08325, 2024
12024
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
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