Philippe Wenk PhD Student philippe.wenk@inf.ethz.ch CAB E 65.2 +41 44 632 98 93 Publications 2020 ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems P. Wenk, G. Abbati, S. Bauer, M. A. Osborne, A. Krause, B. SchölkopfIn Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020[bibtex] [abstract] [pdf] SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives E. Angelis, P. Wenk, B. Schölkopf, S. Bauer, A. KrauseIn arXiv preprint arXiv:2003.02658, 2020[bibtex] [abstract] A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models D. Agudelo-España, A. Zadaianchuk, P. Wenk, A. Garg, J. Akpo, F. Grimminger, J. Viereck, M. Naveau, L. Righetti, G. Martius, A. Krause, B. Schölkopf, S. Bauer, M. WüthrichIn 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020[bibtex] [abstract] [doi] 2019 AReS and MaRS – Adversarial and MMD-Minimizing Regression for SDEs G. Abbati, P. Wenk, S. Bauer, M. A. Osborne, A. Krause, B. SchölkopfIn Proc. International Conference on Machine Learning (ICML), 2019Oral presentation[bibtex] [abstract] [pdf] Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs P. Wenk, A. Gotovos, S. Bauer, N. S. Gorbach, A. Krause, J. M. BuhmannIn International Conference on Artificial Intelligence and Statistics (AISTATS), 2019[bibtex] [abstract] [pdf]
