Steffen Ridderbusch

According to our database, Steffen Ridderbusch authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

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