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Topic: Bayesian Modeling and Causal Inference ×

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Papers matching “machine learning” in Bayesian Modeling and Causal Inference 5

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Deep learning of causal structures in high dimensions under data limitations
2023 Nature Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

65

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
Reconstructing Disease Histories in Huge Discrete State Spaces
2024 Künstliche Intell. article Computer Science Bayesian Modeling and Causal Inference Open access

Rudolf Schill, Maren Klever, Kevin Rupp, Y. Linda Hu, Peter Georg, Simon Pfahler, +5 more

11

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
IRSA 2025 : Tagungsband/proceedings: Aachen, Germany 19-20 November 2025
2026 elib (German Aerospace Center) conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Nils Nießen, C. Schindler, Raphael Pfaff, DVV Media Group GmbH

0

citations

5 results