no code implementations • 6 Sep 2023 • Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe
In this paper, we propose a new approach to hybrid modeling, where we inform the latent states of a learned model via a black-box simulator.
no code implementations • 5 Sep 2023 • Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe
This is crucial to sample consistent predictions from the dynamics model.
no code implementations • 27 Feb 2023 • Katharina Ensinger, Sebastian Ziesche, Barbara Rakitsch, Michael Tiemann, Sebastian Trimpe
This filtering technique combines two signals by applying a high-pass filter to one signal, and low-pass filtering the other.
no code implementations • 2 Feb 2021 • Katharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe
On the other hand, classical numerical integrators are specifically designed to preserve these crucial properties through time.
no code implementations • 19 Jun 2019 • Huang Xiao, Michael Herman, Joerg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh
Imitation Learning describes the problem of recovering an expert policy from demonstrations.