Matej Zecevic

35 papers A* 3A 1Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Causal Explanations Over Time: Articulated Reasoning for Interactive Environments.
CoRR
Sebastian Rödling, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2025 J jnl
Elucidating linear programs by neural encodings.
Frontiers Artif. Intell.
Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2025 — conf
STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond.
ACL (1)
Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych
2025 J jnl
Structural Causal Circuits: Probabilistic Circuits Climbing All Rungs of Pearl's Ladder of Causation.
Trans. Mach. Learn. Res.
Florian Peter Busch, Moritz Willig, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2024 — conf
"Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper).
RATIO
Moritz Willig, Matej Zecevic, Kristian Kersting
2024 J jnl
Diagnostic Reasoning in Natural Language: Computational Model and Application.
CoRR
Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych
2024 A* conf
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG.
ICLR
Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Structural causal models reveal confounder bias in linear program modelling.
Mach. Learn.
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2024 A conf
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
UAI
Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2024 J jnl
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
CoRR
Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2023 — conf
Causal Concept Identification in Open World Environments.
AAAI Bridge Program
Moritz Willig, Matej Zecevic, Jonas Seng, Florian Peter Busch
2023 J jnl
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.
CoRR
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.
Trans. Mach. Learn. Res.
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2023 — conf
Continual Causal Abstractions.
AAAI Bridge Program
Matej Zecevic, Moritz Willig, Florian Peter Busch, Jonas Seng
2023 — conf
Continually Updating Neural Causal Models.
AAAI Bridge Program
Florian Peter Busch, Jonas Seng, Moritz Willig, Matej Zecevic
2023 A* conf
Do Not Marginalize Mechanisms, Rather Consolidate!
NeurIPS
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Do Not Marginalize Mechanisms, Rather Consolidate!
CoRR
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Not All Causal Inference is the Same.
Trans. Mach. Learn. Res.
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023 — conf
Treatment Effect Estimation to Guide Model Optimization in Continual Learning.
AAAI Bridge Program
Jonas Seng, Florian Peter Busch, Matej Zecevic, Moritz Willig
2022 J jnl
Attributions Beyond Neural Networks: The Linear Program Case.
CoRR
Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2022 J jnl
Can Foundation Models Talk Causality?
CoRR
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Continual Causal Abstractions.
CoRR
Matej Zecevic, Moritz Willig, Jonas Seng, Florian Peter Busch
2022 J jnl
Finding Structure and Causality in Linear Programs.
CoRR
Matej Zecevic, Florian Peter Busch, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Machines Explaining Linear Programs.
CoRR
David Steinmann, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
On How AI Needs to Change to Advance the Science of Drug Discovery.
CoRR
Kieran Didi, Matej Zecevic
2022 J jnl
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges.
CoRR
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation.
CoRR
Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Towards a Solution to Bongard Problems: A Causal Approach.
CoRR
Salahedine Youssef, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021 A* conf
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
NeurIPS
Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
2021 J jnl
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
CoRR
Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
2021 J jnl
Intriguing Parameters of Structural Causal Models.
CoRR
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021 J jnl
On the Tractability of Neural Causal Inference.
CoRR
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021 J jnl
Relating Graph Neural Networks to Structural Causal Models.
CoRR
Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting
2021 J jnl
Structural Causal Interpretation Theorem.
CoRR
Matej Zecevic, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2021 J jnl
The Causal Loss: Driving Correlation to Imply Causation.
CoRR
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting