Moritz Willig

Orcid: 0000-0001-9838-5110

According to our database1, Moritz Willig authored at least 17 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Tagged for Direction: Pinning Down Causal Edge Directions with Precision.
CoRR, June, 2025

Fodor and Pylyshyn's Legacy - Still No Human-like Systematic Compositionality in Neural Networks.
CoRR, June, 2025

CausalMan: A physics-based simulator for large-scale causality.
CoRR, February, 2025

Systems with Switching Causal Relations: A Meta-Causal Perspective.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

"Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper).
Proceedings of the Robust Argumentation Machines - First International Conference, 2024

Ψnet: Efficient Causal Modeling at Scale.
Proceedings of the International Conference on Probabilistic Graphical Models, 2024

2023
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.
Trans. Mach. Learn. Res., 2023

Do Not Marginalize Mechanisms, Rather Consolidate!
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continual Causal Abstractions.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

Causal Concept Identification in Open World Environments.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

Treatment Effect Estimation to Guide Model Optimization in Continual Learning.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

Continually Updating Neural Causal Models.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges.
CoRR, 2022

Can Foundation Models Talk Causality?
CoRR, 2022

2021
The Causal Loss: Driving Correlation to Imply Causation.
CoRR, 2021

2020
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data.
Frontiers Artif. Intell., 2020


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