1 code implementation • NeurIPS 2021 • Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dörfler
To this end, neural ODEs regularized with neural Lyapunov functions are a promising approach when states are fully observed.
1 code implementation • NeurIPS 2021 • Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause
Differential equations in general and neural ODEs in particular are an essential technique in continuous-time system identification.
1 code implementation • 5 Mar 2020 • Emmanouil Angelis, Philippe Wenk, Bernhard Schölkopf, Stefan Bauer, Andreas Krause
Gaussian processes are an important regression tool with excellent analytic properties which allow for direct integration of derivative observations.
1 code implementation • 22 Feb 2019 • Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schölkopf, Stefan Bauer
Stochastic differential equations are an important modeling class in many disciplines.
2 code implementations • 17 Feb 2019 • Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer
Parameter inference in ordinary differential equations is an important problem in many applied sciences and in engineering, especially in a data-scarce setting.
3 code implementations • 12 Apr 2018 • Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico Gorbach, Andreas Krause, Joachim M. Buhmann
Parameter identification and comparison of dynamical systems is a challenging task in many fields.