| 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 | 21 | 2021 |
| Relating Graph Neural Networks to Structural Causal Models M Zečević, DS Dhami, P Veličković, K Kersting arXiv preprint arXiv:2109.04173, 2021 | 21 | 2021 |
| Can Foundation Models Talk Causality? M Willig, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.10591, 2022 | 5 | 2022 |
| Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation J Seng, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.07195, 2022 | 2 | 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 |
| Towards a Solution to Bongard Problems: A Causal Approach S Youssef, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.07196, 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 |
| Causal Explanations of Structural Causal Models M Zečević, DS Dhami, CA Rothkopf, K Kersting arXiv preprint arXiv:2110.02395, 2021 | 1 | 2021 |
| Can Linear Programs Have Adversarial Examples? A Causal Perspective M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2105.12697, 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 Continual Causality Bridge Program at AAAI23, 2023 | | 2023 |
| On How AI Needs to Change to Advance the Science of Drug Discovery K Didi, M Zečević arXiv preprint arXiv:2212.12560, 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 |
| Attributions Beyond Neural Networks: The Linear Program Case FP Busch, M Zečević, K Kersting, DS Dhami arXiv preprint arXiv:2206.07203, 2022 | | 2022 |
| Machines Explaining Linear Programs D Steinmann, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.07194, 2022 | | 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 | | 2022 |
| On the Tractability of Neural Causal Inference M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2110.12052, 2021 | | 2021 |
| IDENTIFYING CHALLENGES FOR GENERALIZING TO THE PEARL CAUSAL HIERARCHY ON IMAGES M Zecevic, M Willig, DS Dhami, K Kersting | | |
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
