Causal parrots: Large language models may talk causality but are not causal M Zečević, M Willig, DS Dhami, K Kersting
arXiv preprint arXiv:2308.13067, 2023
88 2023 Relating graph neural networks to structural causal models M Zečević, DS Dhami, P Veličković, K Kersting
arXiv preprint arXiv:2109.04173, 2021
59 2021 Interventional sum-product networks: Causal inference with tractable probabilistic models M Zečević, D Dhami, A Karanam, S Natarajan, K Kersting
Advances in neural information processing systems 34, 15019-15031, 2021
38 2021 Can foundation models talk causality? M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.10591, 2022
24 2022 Causal parrots: Large language models may talk causality but are not causal M Willig, M Zecevic, DS Dhami, K Kersting
preprint 8, 2023
10 2023 Probing for correlations of causal facts: Large language models and causality M Willig, M Zečević, DS Dhami, K Kersting
9 2023 Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation J Seng, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07195, 2022
6 2022 Do not marginalize mechanisms, rather consolidate! M Willig, M Zečević, D Dhami, K Kersting
Advances in Neural Information Processing Systems 36, 2024
4 2024 Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG J Seng, M Zečević, DS Dhami, K Kersting
The Twelfth International Conference on Learning Representations, 2024
4 2024 Towards a solution to bongard problems: A causal approach S Youssef, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07196, 2022
4 2022 Continual Causal Abstractions M Zečević, M Willig, J Seng, FP Busch
Continual Causality Bridge Program at AAAI23, 2023
2 2023 Causal explanations of structural causal models M Zečević, DS Dhami, CA Rothkopf, K Kersting
arXiv preprint arXiv:2110.02395, 2021
2 2021 Can Linear Programs Have Adversarial Examples? A Causal Perspective M Zečević, D Singh Dhami, K Kersting
arXiv e-prints, arXiv: 2105.12697, 2021
2 * 2021 H Poonia, M Willig, Z Yu, M Zečević, K Kersting, DS Dhami
arXiv preprint arXiv:2408.07545, 2024
1 2024 Not all causal inference is the same M Zečević, DS Dhami, K Kersting
Transactions on Machine Learning Research, 2023
1 2023 On How AI Needs to Change to Advance the Science of Drug Discovery K Didi, M Zečević
arXiv preprint arXiv:2212.12560, 2022
1 2022 Finding Structure and Causality in Linear Programs M Zečević, FP Busch, DS Dhami, K Kersting
ICLR 2022 Workshop on the Elements of Reasoning: Objects, Structure and …, 2022
1 2022 The Causal Loss: Driving Correlation to Imply Causation M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12066, 2021
1 2021 A Taxonomy for Inference in Causal Model Families M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12052, 2021
1 * 2021 Structural Causal Circuits: Probabilistic Circuits Climbing All Rungs of Pearl's Ladder of Causation FP Busch, M Willig, M Zečević, K Kersting, DS Dhami
Available at SSRN 4578551, 0
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Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerified email at cs.tu-darmstadt.de