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ORCIDMatej Zecevic
Person information
- unicode name: Matej Zečević
- affiliation: TU Darmstadt, Computer Science Department, Germany
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2020 – today
- 2024
[j3]Matej Zecevic, Devendra Singh Dhami
, Kristian Kersting:
Structural causal models reveal confounder bias in linear program modelling. Mach. Learn. 113(3): 1329-1349 (2024)- [c8]Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG. ICLR 2024 - [c7]Moritz Willig, Matej Zecevic, Kristian Kersting:
"Do Not Disturb My Circles!" Identifying the Type of Counterfactual at Hand (Short Paper). RATIO 2024: 266-275 - [i19]Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami:
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. CoRR abs/2408.07545 (2024) - [i18]Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych:
Diagnostic Reasoning in Natural Language: Computational Model and Application. CoRR abs/2409.05367 (2024) - 2023
- [j2]Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Not All Causal Inference is the Same. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting:
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Florian Peter Busch, Jonas Seng, Moritz Willig, Matej Zecevic:
Continually Updating Neural Causal Models. AAAI Bridge Program 2023: 30-37 - [c5]Jonas Seng, Florian Peter Busch, Matej Zecevic, Moritz Willig:
Treatment Effect Estimation to Guide Model Optimization in Continual Learning. AAAI Bridge Program 2023: 38-44 - [c4]Matej Zecevic, Moritz Willig, Florian Peter Busch, Jonas Seng:
Continual Causal Abstractions. AAAI Bridge Program 2023: 45-51 - [c3]Moritz Willig, Matej Zecevic, Jonas Seng, Florian Peter Busch:
Causal Concept Identification in Open World Environments. AAAI Bridge Program 2023: 52-58 - [c2]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Do Not Marginalize Mechanisms, Rather Consolidate! NeurIPS 2023 - [i17]Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting:
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal. CoRR abs/2308.13067 (2023) - [i16]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Do Not Marginalize Mechanisms, Rather Consolidate! CoRR abs/2310.08377 (2023) - 2022
- [i15]Matej Zecevic, Florian Peter Busch, Devendra Singh Dhami, Kristian Kersting:
Finding Structure and Causality in Linear Programs. CoRR abs/2203.15274 (2022) - [i14]David Steinmann, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Machines Explaining Linear Programs. CoRR abs/2206.07194 (2022) - [i13]Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation. CoRR abs/2206.07195 (2022) - [i12]Salahedine Youssef, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Towards a Solution to Bongard Problems: A Causal Approach. CoRR abs/2206.07196 (2022) - [i11]Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami:
Attributions Beyond Neural Networks: The Linear Program Case. CoRR abs/2206.07203 (2022) - [i10]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Can Foundation Models Talk Causality? CoRR abs/2206.10591 (2022) - [i9]Kieran Didi, Matej Zecevic:
On How AI Needs to Change to Advance the Science of Drug Discovery. CoRR abs/2212.12560 (2022) - [i8]Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting:
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges. CoRR abs/2212.12570 (2022) - [i7]Matej Zecevic, Moritz Willig, Jonas Seng, Florian Peter Busch:
Continual Causal Abstractions. CoRR abs/2212.12575 (2022) - 2021
- [c1]Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting:
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. NeurIPS 2021: 15019-15031 - [i6]Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting:
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. CoRR abs/2102.10440 (2021) - [i5]Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Intriguing Parameters of Structural Causal Models. CoRR abs/2105.12697 (2021) - [i4]Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting:
Relating Graph Neural Networks to Structural Causal Models. CoRR abs/2109.04173 (2021) - [i3]Matej Zecevic, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting:
Structural Causal Interpretation Theorem. CoRR abs/2110.02395 (2021) - [i2]Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
On the Tractability of Neural Causal Inference. CoRR abs/2110.12052 (2021) - [i1]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
The Causal Loss: Driving Correlation to Imply Causation. CoRR abs/2110.12066 (2021)
Coauthor Index
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last updated on 2024-10-10 21:17 CEST by the dblp team
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