Friedrich Solowjow

Katherine J. Kuchenbecker

IEEE Trans Autom. Sci. Eng., July, 2024

Data-Driven Observability Analysis for Nonlinear Stochastic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., June, 2024

On Foundation Models for Dynamical Systems from Purely Synthetic Data.

[BibT_eX]

[DOI]

Martin Ziegler

CoRR, 2024

On the Consistency of Kernel Methods with Dependent Observations.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Statistical Learning Theory for Distributional Inputs.

[BibT_eX]

[DOI]

Christian Fiedler

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Safe Value Functions.

[BibT_eX]

[DOI]

Steve Heim

IEEE Trans. Autom. Control., May, 2023

image classification dataset on tailored textiles quality control.

[BibT_eX]

[DOI]

Dataset, May, 2023

image classification dataset on carbon fiber reinforcement quality control.

[BibT_eX]

[DOI]

Dataset, May, 2023

Scalable Concept Extraction in Industry 4.0.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2023

2022

Event-triggered Learning.

[BibT_eX]

[DOI]

PhD thesis, 2022

Identifying Causal Structure in Dynamical Systems.

[BibT_eX]

[DOI]

Dominik Baumann

Karl Henrik Johansson

Trans. Mach. Learn. Res., 2022

Event-Triggered Time-Varying Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Parameter Filter-based Event-triggered Learning.

[BibT_eX]

[DOI]

Sebastian Schlor

CoRR, 2022

Structure-Preserving Gaussian Process Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Improving the Performance of Robust Control through Event-Triggered Learning.

[BibT_eX]

[DOI]

Alexander von Rohr

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Event-Triggered Learning for Linear Quadratic Control.

[BibT_eX]

[DOI]

Henning Schlüter

IEEE Trans. Autom. Control., 2021

Symplectic Gaussian Process Dynamics.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach.

[BibT_eX]

[DOI]

Sensors, 2020

Hierarchical Event-Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2020

A Kernel Two-sample Test for Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Event-triggered learning.

[BibT_eX]

[DOI]

Autom., 2020

Actively Learning Gaussian Process Dynamics.

[BibT_eX]

[DOI]

Mona Buisson-Fenet

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019

Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Event-triggered Pulse Control with Model Learning (if Necessary).

[BibT_eX]

[DOI]

Dominik Baumann

Karl Henrik Johansson