1 citations · 1 across the 2 of their papers we have counts for
3 papers
Towards Learning Controllable Representations of Physical Systems
Kevin Haninger, Raul Vicente Garcia, Joerg Krueger
Learned representations of dynamical systems reduce dimensionality, potentially supporting downstream reinforcement learning (RL). However, no established methods predict a represe…
Uncertainty Quantification in Deep Residual Neural Networks
Lukasz Wandzik, Raul Vicente Garcia, Jörg Krüger
Uncertainty quantification is an important and challenging problem in deep learning. Previous methods rely on dropout layers which are not present in modern deep architectures or b…
System identification of a hysteresis-controlled pump system using SINDy
Gregor Thiele, Arne Fey, David Sommer +1
Hysteresis-controlled devices are widely used in industrial applications. For example, cooling devices usually contain a two-point controller, resulting in a nonlinear hybrid syste…