Search Results for author: Steffen Ridderbusch

Found 3 papers, 2 papers with code

Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery

1 code implementation20 Nov 2022 Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen

By one of the most fundamental principles in physics, a dynamical system will exhibit those motions which extremise an action functional.

The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models

no code implementations20 Nov 2022 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.

Gaussian Processes

Learning ODE Models with Qualitative Structure Using Gaussian Processes

1 code implementation10 Nov 2020 Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart

Recent advances in learning techniques have enabled the modelling of dynamical systems for scientific and engineering applications directly from data.

Gaussian Processes

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