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Papers matching “causal discovery” 10

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Causal Reasoning in Pieces: Modular In-Context Learning for Causal Discovery
2025 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kacper Kadziolka, Saber Salehkaleybar

3

citations
Disentangling causality: assumptions in causal discovery and inference
2022 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova

7

citations
DATA-DRIVEN CAUSAL DISCOVERY IN CATALYSIS
2026 ChemRxiv preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bárbara Alves Sequeira, Adèle H. Ribeiro, Catarina Barata, Carmen Bacariza, Pedro S. F. Mendes

0

citations
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
Hierarchical Reinforcement Learning with Targeted Causal Interventions
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

0

citations
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

0

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
2021 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Alexander Marx, Lincen Yang, Matthijs van Leeuwen

0

citations
GraIP: A Benchmarking Framework For Neural Graph Inverse Problems
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, +2 more

0

citations
Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Sadegh Khorasani, Ali Najar, Saber Salehkaleybar, Negar Kiyavash

0

citations

10 results