Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data. - Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz (Frontiers Artif. Intell., 2020)

The Causal Loss: Driving Correlation to Imply Causation. - Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting (CoRR, 2021)

Can Foundation Models Talk Causality? - Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting (CoRR, 2022)

Pearl Causal Hierarchy on Image Data: Intricacies & Challenges. - Matej Zecevic; Moritz Willig; Devendra Singh Dhami; Kristian Kersting (CoRR, 2022)

Continually Updating Neural Causal Models. - Florian Peter Busch; Jonas Seng; Moritz Willig; Matej Zecevic (AAAI Bridge Program, 2023)

Treatment Effect Estimation to Guide Model Optimization in Continual Learning. - Jonas Seng; Florian Peter Busch; Matej Zecevic; Moritz Willig (AAAI Bridge Program, 2023)

Causal Concept Identification in Open World Environments. - Moritz Willig; Matej Zecevic; Jonas Seng; Florian Peter Busch (AAAI Bridge Program, 2023)

Continual Causal Abstractions. - Matej Zecevic; Moritz Willig; Florian Peter Busch; Jonas Seng (AAAI Bridge Program, 2023)

Do Not Marginalize Mechanisms, Rather Consolidate! - Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting (NeurIPS, 2023)

Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. - Matej Zecevic; Moritz Willig; Devendra Singh Dhami; Kristian Kersting (Trans. Mach. Learn. Res., 2023)

Ψnet: Efficient Causal Modeling at Scale. - Florian Peter Busch; Moritz Willig; Jonas Seng; Kristian Kersting; Devendra Singh Dhami (PGM, 2024)

"Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper). - Moritz Willig; Matej Zecevic; Kristian Kersting (RATIO, 2024)

χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. - Harsh Poonia; Moritz Willig; Zhongjie Yu 001; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami (UAI, 2024)

Systems with Switching Causal Relations: A Meta-Causal Perspective. - Moritz Willig; Tim Nelson Tobiasch; Florian Peter Busch; Jonas Seng; Devendra Singh Dhami; Kristian Kersting (ICLR, 2025)

CausalMan: A physics-based simulator for large-scale causality. - Nicholas Tagliapietra; Juergen Luettin; Lavdim Halilaj; Moritz Willig; Tim Pychynski; Kristian Kersting (CoRR, 2025)

Fodor and Pylyshyn's Legacy - Still No Human-like Systematic Compositionality in Neural Networks. - Tim Woydt; Moritz Willig; Antonia Wüst; Lukas Helff; Wolfgang Stammer; Constantin A. Rothkopf; Kristian Kersting (CoRR, 2025)

Tagged for Direction: Pinning Down Causal Edge Directions with Precision. - Florian Peter Busch; Moritz Willig; Florian Guldan; Kristian Kersting; Devendra Singh Dhami (CoRR, 2025)