Steffen Ridderbusch

According to our database, Steffen Ridderbusch authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning.

David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven

CoRR, April, 2025

Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian Minimization.

David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Early-Cycle Internal Impedance Enables ML-Based Battery Cycle Life Predictions Across Manufacturers.

Tyler Sours, Shivang Agarwal, Marc Cormier, Jordan Crivelli-Decker, Steffen Ridderbusch, Stephen L. Glazier, Connor P. Aiken, Aayush R. Singh, Ang Xiao, Omar Allam

CoRR, 2024

2023

The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models.

Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Approximate Uncertainty Propagation for Continuous Gaussian Process Dynamical Systems.

Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart

CoRR, 2022

Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery.

Yana Lishkova, Paul Scherer, Steffen Ridderbusch, Mateja Jamnik, Pietro Liò, Sina Ober-Blöbaum, Christian Offen

CoRR, 2022

2021

Learning ODE Models with Qualitative Structure Using Gaussian Processes.

Steffen Ridderbusch, Christian Offen, Sina Ober-Blöbaum, Paul Goulart

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Learning ODE Models with Qualitative Structure Using Gaussian Processes.

Steffen Ridderbusch, Paul Goulart, Sina Ober-Blöbaum

CoRR, 2020