Tobias Sutter
Orcid: 0000-0003-1226-6845
According to our database1,
Tobias Sutter
authored at least 32 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Control. Syst. Lett., 2024
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms.
CoRR, 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces.
CoRR, 2024
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series.
Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
IEEE Trans. Autom. Control., May, 2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
IEEE Control. Syst. Lett., 2022
2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
2019
2018
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming.
SIAM J. Optim., 2018
2017
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems.
IEEE Control. Syst. Lett., 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes.
J. Mach. Learn. Res., 2016
2015
Performance Bounds for the Scenario Approach and an Extension to a Class of Non-Convex Programs.
IEEE Trans. Autom. Control., 2015
2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Syst. Control. Lett., 2013