Philippe Wenk PhD Student philippe.wenk@inf.ethz.ch CAB E 65.2 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. SchölkopfAAAI, 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] 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), 2019[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]
