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Matej Zečević
Matej Zečević
PhD Candidate @ TU Darmstadt
Verified email at tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
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
212021
Relating Graph Neural Networks to Structural Causal Models
M Zečević, DS Dhami, P Veličković, K Kersting
arXiv preprint arXiv:2109.04173, 2021
212021
Can Foundation Models Talk Causality?
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.10591, 2022
52022
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation
J Seng, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07195, 2022
22022
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
M Willig, M ZEČEVIĆ, DS Dhami, K Kersting
preprint, 2023
12023
Towards a Solution to Bongard Problems: A Causal Approach
S Youssef, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07196, 2022
12022
The Causal Loss: Driving Correlation to Imply Causation
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12066, 2021
12021
Causal Explanations of Structural Causal Models
M Zečević, DS Dhami, CA Rothkopf, K Kersting
arXiv preprint arXiv:2110.02395, 2021
12021
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
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