| Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data J Czech, M Willig, A Beyer, K Kersting, J Fürnkranz Frontiers in artificial intelligence 3, 24, 2020 | 10 | 2020 |
| Can Foundation Models Talk Causality? M Willig, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.10591, 2022 | 5 | 2022 |
| Causal Parrots: Large Language Models May Talk Causality But Are Not Causal M Willig, M ZEČEVIĆ, DS Dhami, K Kersting preprint, 2023 | 1 | 2023 |
| The Causal Loss: Driving Correlation to Imply Causation M Willig, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2110.12066, 2021 | 1 | 2021 |
| Probing for Correlations of Causal Facts: Large Language Models and Causality M Willig, M Zečević, DS Dhami, K Kersting | 1 | |
| Causal Concept Identification in Open World Environments M Willig, M Zečević, J Seng, FP Busch Continual Causality Bridge Program at AAAI23, 2023 | | 2023 |
| Continually Updating Neural Causal Models FP Busch, J Seng, M Willig, M Zečević Continual Causality Bridge Program at AAAI23, 2023 | | 2023 |
| Continual Causal Abstractions M Zečević, M Willig, J Seng, FP Busch arXiv preprint arXiv:2212.12575, 2022 | | 2022 |
| Pearl Causal Hierarchy on Image Data: Intricacies & Challenges M Zečević, M Willig, DS Dhami, K Kersting arXiv preprint arXiv:2212.12570, 2022 | | 2022 |
| IDENTIFYING CHALLENGES FOR GENERALIZING TO THE PEARL CAUSAL HIERARCHY ON IMAGES M Zecevic, M Willig, DS Dhami, K Kersting | | |
| Treatment Effect Estimation to Guide Model Optimization in Continual Learning J Seng, FP Busch, M Zečević, M Willig Continual Causality Bridge Program at AAAI23, 0 | | |
