Philippe Wenk - RankMe

14 papers A* 6A 1Journal 6

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Adaptive Gaussian Process Change Point Detection. ICML Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause
2022	—	`—`	Learning time-continuous dynamics models with Gaussian-process-based gradient matching. Philippe Wenk
2021	A*	`conf`	Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models. NeurIPS Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause
2021	J	`jnl`	Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models. CoRR Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause
2021	A*	`conf`	Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems. NeurIPS Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
2021	J	`jnl`	Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems. CoRR Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
2020	A*	`conf`	A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. ICRA 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
2020	A*	`conf`	ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. AAAI Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer
2020	J	`jnl`	SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives. CoRR Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause
2019	J	`jnl`	AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs. CoRR Gabriele Abbati, Philippe Wenk, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf
2019	A*	`conf`	AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs. ICML Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf, Stefan Bauer
2019	A	`conf`	Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. AISTATS Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann
2019	J	`jnl`	ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. CoRR Philippe Wenk, Gabriele Abbati, Stefan Bauer, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf
2018	J	`jnl`	Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs. CoRR Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann