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GitHub / juangamella / causal-chamber-paper

Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/juangamella%2Fcausal-chamber-paper

Stars: 1
Forks: 0
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 2.77 MB
Dependencies: 0

Created: about 1 month ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: 30 days ago

Topics: ai, benchmarking, causal-discovery, causality, changepoint-detection, independent-component-analysis, machine-learning, out-of-distribution-generalization, research-paper, statistics, symbolic-regression

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