Tobias Windisch

According to our database, Tobias Windisch authored at least 10 papers between 2016 and 2026.

Collaborative distances:

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

2026

Trajectory-Level Data Augmentation for Offline Reinforcement Learning.

Tobias Schmähling, Matthias Burkhardt, Tobias Windisch

CoRR, May, 2026

A method to benchmark high-dimensional process drift detection.

Edgar Wolf, Tobias Windisch

J. Intell. Manuf., March, 2026

2025

Active Alignments of Lens Systems with Reinforcement Learning.

Matthias Burkhardt, Tobias Schmähling, Michael Layh, Tobias Windisch

CoRR, March, 2025

Nonlinear Causal Discovery for Grouped Data.

Konstantin Göbler, Tobias Windisch, Mathias Drton

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

LineFlow: A Framework to Learn Active Control of Production Lines.

Kai Müller, Martin Wenzel, Tobias Windisch

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.

Konstantin Göbler, Tobias Windisch, Mathias Drton, Tim Pychynski, Martin Roth, Steffen Sonntag

Proceedings of the Causal Learning and Reasoning, 2024

2023

causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.

Konstantin Göbler, Tobias Windisch, Tim Pychynski, Steffen Sonntag, Martin Roth, Mathias Drton

CoRR, 2023

2019

The fiber dimension of a graph.

Tobias Windisch

Discret. Math., 2019

2018

Heat-bath random walks with Markov bases.

Caprice Stanley, Tobias Windisch

Adv. Appl. Math., 2018

2016

Rapid Mixing and Markov Bases.

Tobias Windisch

SIAM J. Discret. Math., 2016