Activities – Andreas Sauter

Selected Publications

CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research, A. Sauter, Erman Acar, Aske Plaat, Causal and Object-Centric Representations for Robotics Workshop at CVPR. (2024)
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning, A. Sauter, N. Botteghi, E. Acar, A. Plaat, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. (2024)
CAGE: Causality-Aware Shapley Value for Global Explanations, Nils Ole Breuer, Andreas Sauter, Majid Mohammadi, Erman Acar, World Conference on Explainable Artificial Intelligence. (2024)
A Meta-Reinforcement Learning Algorithm for Causal Discovery, A. Sauter, E. Acar, V. François-Lavet, Proceedings of the 2nd conference on Causal Learning and Reasoning. (2023)

Teaching Bayesian Networks in the Knowledge Representation course. @VU Amsterdam (2022-2024)
Teaching assistant for Knowledge Representation. @VU Amsterdam (2021)
Teaching assistant for Intelligent Systems. @VU Amsterdam (2019 to 2020)
Teaching assistant for Python for Text. @VU Amsterdam (2020)
Teaching assistant for Java. @Uni Tübingen (2017 to 2019)
Teaching assistant for Functional Programming. @Uni Tübingen (2017 to 2019)

Feiko de Vries, MSc, Improving Generalisation in Reinforcement Learning through Causal Representation Learning. (2024)
Nils Ole Breuer, MSc., Causal Global Feature Importance: Using Causal Knowledge to Explain Model Predictions. (2023)