Follow
Matej Zečević
Matej Zečević
PhD Candidate @ TU Darmstadt
Verified email at tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
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
722023
Relating graph neural networks to structural causal models
M Zečević, DS Dhami, P Veličković, K Kersting
arXiv preprint arXiv:2109.04173, 2021
552021
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
352021
Can foundation models talk causality?
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.10591, 2022
232022
Causal parrots: Large language models may talk causality but are not causal
M Willig, M Zecevic, DS Dhami, K Kersting
preprint 8, 2023
102023
Probing for correlations of causal facts: Large language models and causality
M Willig, M Zečević, DS Dhami, K Kersting
62023
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation
J Seng, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07195, 2022
62022
Towards a solution to bongard problems: A causal approach
S Youssef, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2206.07196, 2022
42022
Do not marginalize mechanisms, rather consolidate!
M Willig, M Zečević, D Dhami, K Kersting
Advances in Neural Information Processing Systems 36, 2024
32024
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
32024
Continual Causal Abstractions
M Zečević, M Willig, J Seng, FP Busch
Continual Causality Bridge Program at AAAI23, 2023
22023
Causal explanations of structural causal models
M Zečević, DS Dhami, CA Rothkopf, K Kersting
arXiv preprint arXiv:2110.02395, 2021
22021
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
12024
Not all causal inference is the same
M Zečević, DS Dhami, K Kersting
Transactions on Machine Learning Research, 2023
12023
On How AI Needs to Change to Advance the Science of Drug Discovery
K Didi, M Zečević
arXiv preprint arXiv:2212.12560, 2022
12022
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
12022
The Causal Loss: Driving Correlation to Imply Causation
M Willig, M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2110.12066, 2021
12021
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
The system can't perform the operation now. Try again later.
Articles 1–20