The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

17 April 2024

Papers citing "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology"

10 / 10 papers shown

Title
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 44 0 0 21 Mar 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 45 0 0 18 Feb 2025
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan CML OOD 54 2 0 31 Dec 2024
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models Tong Xu Simge Küçükyavuz Ali Shojaie Armeen Taeb 11 0 0 21 Aug 2024
Sortability of Time Series Data Christopher Lohse Jonas Wahl CML 24 1 0 18 Jul 2024
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani P. Tigas Stefan Bauer Adam Foster 24 0 0 26 May 2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration Antoine Wehenkel Juan L. Gamella Ozan Sener Jens Behrmann Guillermo Sapiro Marco Cuturi J. Jacobsen UQLM 38 8 0 14 May 2024
$$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery$ $\texttt{causalAssembly}$ : Generating Realistic Production Data for Benchmarking Causal Discovery Konstantin Göbler Tobias Windisch Mathias Drton T. Pychynski Steffen Sonntag Martin Roth CML 35 9 0 19 Jun 2023
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 133 434 0 20 Feb 2013
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 135 417 0 20 Feb 2013