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2024
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
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 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 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 Probabilistic ODE Solvers for Integration Error-Aware Numerical Optimal Control
Lahr, Amon ; Tronarp, Filip ^LU ; Bosch, Nathanael ; Schmidt, Jonathan ; Hennig, Philipp and Zeilinger, Melanie N. (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
2022
Mark Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing
Priisalu, Maria ^LU ; Pirinen, Aleksis ^LU ; Paduraru, Ciprian and Sminchisescu, Cristian ^LU (2022) Conference on Robot Learning In Proceedings of Machine Learning Research 164. p.1247-1258
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Fenrir: Physics-Enhanced Regression for Initial Value Problems
Tronarp, Filip ^LU ; Hennig, Philipp and Bosch, Nathanael (2022) 39th International Conference on Machine Learning, ICML 2022 In Proceedings of Machine Learning Research 162.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Pick-and-mix information operators for probabilistic ODE solvers
Bosch, Nathanael ; Tronarp, Filip ^LU and Hennig, Philipp (2022) 25th International Conference on Artificial Intelligence and Statistics In Proceedings of Machine Learning Research 151.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2021
Mark Calibrated Adaptive Probabilistic ODE Solvers
Bosch, Nathanael ; Hennig, Philipp and Tronarp, Filip ^LU (2021) 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021 In Proceedings of Machine Learning Research 130. p.3466-3474
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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