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- 2025
-
Mark
Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers
(2025) 1st International Conference on Probabilistic Numerics, ProbNum 2025 In Proceedings of Machine Learning Research 271.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Bridging available as preprint version on arxiv: the gap between learning-to-plan, motion primitives and safe reinforcement learning
Kicki, Piotr ; Tateo, Davide LU
; Liu, Puze
; Guenster, Jonas
; Peters, Jan
and Walas, Krzysztof
(2025)
8th Conference on Robot Learning, CoRL 2024
In Proceedings of Machine Learning Research
270.
p.2655-2678
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2024
-
Mark
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification
Lee, Bruce D. LU ; Rantzer, Anders LU
and Matni, Nikolai
(2024)
6th Annual Learning for Dynamics and Control Conference, L4DC 2024
In Proceedings of Machine Learning Research
242.
p.980-992
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control
(2024) 6th Annual Learning for Dynamics and Control Conference, L4DC 2024 In Proceedings of Machine Learning Research 242. p.1018-1032
- Contribution to journal › Article
-
Mark
FETCH : A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems
Amirshahi, Alireza ; Dan, Jonathan ; Miranda, José ; Aminifar, Amir LU
and Atienza, David
(2024)
5th Annual Conference on Health, Inference, and Learning, CHIL 2024
In Proceedings of Machine Learning Research
248.
p.397-409
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
VNN : verification-friendly neural networks with hard robustness guarantees
Baninajjar, Anahita LU
; Rezine, Ahmed
and Aminifar, Amir
LU
(2024)
41st International Conference on Machine Learning, ICML 2024
In Proceedings of Machine Learning Research
235.
p.2846-2856
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
One policy to run them all : an end-to-end learning approach to multi-embodiment locomotion
Bohlinger, Nico ; Czechmanowski, Grzegorz ; Krupka, Maciej ; Kicki, Piotr ; Walas, Krzysztof ; Peters, Jan and Tateo, Davide LU
(2024)
8th Conference on Robot Learning, CoRL 2024
In Proceedings of Machine Learning Research
270.
p.3356-3378
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Handling long-term safety and uncertainty in safe reinforcement learning
Günster, Jonas ; Liu, Puze ; Peters, Jan and Tateo, Davide LU
(2024)
8th Conference on Robot Learning, CoRL 2024
In Proceedings of Machine Learning Research
270.
p.4670-4697
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Vanilla Bayesian Optimization Performs Great in High Dimensions
Hvarfner, Carl LU ; Hellsten, Erik O. LU
and Nardi, Luigi
LU
(2024)
41st International Conference on Machine Learning, ICML 2024
In Proceedings of Machine Learning Research
235.
p.20793-20817
- Contribution to journal › Article
- 2022
-
Mark
Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding