7 citations · 13 across the 3 of their papers we have counts for
3 papers
The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models
Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart
Computing the distribution of trajectories from a Gaussian Process model of a dynamical system is an important challenge in utilizing such models. Motivated by the computational co…
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
Yana Lishkova, Paul Scherer, Steffen Ridderbusch +4
By one of the most fundamental principles in physics, a dynamical system will exhibit those motions which extremise an action functional. This leads to the formation of the Euler-L…
Learning ODE Models with Qualitative Structure Using Gaussian Processes
Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum +1
Recent advances in learning techniques have enabled the modelling of dynamical systems for scientific and engineering applications directly from data. However, in many contexts exp…