Philippe Wenk

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Gaussian Process

Change Point Detection

Partially Observed

Dynamical Systems

Top Venues

Publications

Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause
Adaptive Gaussian Process Change Point Detection. ICML (2022)
Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models. CoRR (2021)
Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems. NeurIPS (2021)
Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models. NeurIPS (2021)
Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems. CoRR (2021)
Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. AAAI (2020)
Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. CoRR (2020)
Diego Agudelo-España, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Schölkopf, Stefan Bauer, Manuel Wüthrich
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. ICRA (2020)
Philippe Wenk, Gabriele Abbati, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. CoRR (2019)
Gabriele Abbati, Philippe Wenk, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs. CoRR (2019)
Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. AISTATS (2019)
Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf, Stefan Bauer
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs. ICML (2019)
Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs. CoRR (2018)