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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
Relating graph neural networks to structural causal models
M Zečević, DS Dhami, P Veličković, K Kersting
arXiv preprint arXiv:2109.04173, 2021
322021
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
292021
Can Foundation Models Talk Causality?
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.10591, 2022
92022
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
52023
Causal parrots: Large language models may talk causality but are not causal
M Willig, M Zecevic, DS Dhami, K Kersting
preprint 8, 2023
32023
Towards a Solution to Bongard Problems: A Causal Approach
S Youssef, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07196, 2022
32022
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation
J Seng, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07195, 2022
32022
Probing for correlations of causal facts: Large language models and causality
M Willig, M Zečević, DS Dhami, K Kersting
22022
The Causal Loss: Driving Correlation to Imply Causation
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12066, 2021
12021
On the Tractability of Neural Causal Inference
M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12052, 2021
1*2021
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
Elucidating Linear Programs by Neural Encodings
FP Busch, M Zečević, K Kersting, DS Dhami
2023
Do Not Marginalize Mechanisms, Rather Consolidate!
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2310.08377, 2023
2023
Causal Concept Identification in Open World Environments
M Willig, M Zečević, J Seng, FP Busch
AAAI Bridge Program on Continual Causality, 52-58, 2023
2023
Treatment Effect Estimation to Guide Model Optimization in Continual Learning
J Seng, FP Busch, M Zečević, M Willig
AAAI Bridge Program on Continual Causality, 38-44, 2023
2023
Continually Updating Neural Causal Models
FP Busch, J Seng, M Willig, M Zečević
AAAI Bridge Program on Continual Causality, 30-37, 2023
2023
Not All Causal Inference is the Same
M Zečević, DS Dhami, K Kersting
Transactions on Machine Learning Research, 2023
2023
Identifying Challenges for Generalizing to the Pearl Causal Hierarchy on Images
M Zečević, M Willig, DS Dhami, K Kersting
2023
Continual Causal Abstractions
M Zečević, M Willig, J Seng, FP Busch
Continual Causality Bridge Program at AAAI23, 2023
2023
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