| 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 | 72 | 2023 |
| Relating graph neural networks to structural causal models M Zečević, DS Dhami, P Veličković, K Kersting arXiv preprint arXiv:2109.04173, 2021 | 55 | 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 | 35 | 2021 |
| Can foundation models talk causality? M Willig, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.10591, 2022 | 23 | 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 | 6 | 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 |
| 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 |
| Do not marginalize mechanisms, rather consolidate! M Willig, M Zečević, D Dhami, K Kersting Advances in Neural Information Processing Systems 36, 2024 | 3 | 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 | 3 | 2024 |
| 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 |
| SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains 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 | 1 | |
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
