$$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery$

$\texttt{causalAssembly}$ : Generating Realistic Production Data for Benchmarking Causal Discovery

19 June 2023

Konstantin Göbler

Tobias Windisch

Steffen Sonntag

Papers citing "$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery"

11 / 11 papers shown

Title
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 47 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 50 0 0 18 Feb 2025
A method to benchmark high-dimensional process drift detection Edgar Wolf Tobias Windisch AI4TS 21 0 0 05 Sep 2024
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models Yurou Liang Oleksandr Zadorozhnyi Mathias Drton CML 16 0 0 20 Aug 2024
Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage Lucas Possner Lukas Bahr L. Roehl Christoph Wehner Sophie Groeger CML 30 1 0 23 Jul 2024
Counterfactual-based Root Cause Analysis for Dynamical Systems Juliane Weilbach S. Gerwinn Karim Barsim Martin Fränzle 37 1 0 12 Jun 2024
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology Juan L. Gamella Jonas Peters Peter Buhlmann 75 8 0 17 Apr 2024
The Structurally Complex with Additive Parent Causality (SCARY) Dataset Jarry Chen Haytham M. Fayek CML 41 1 0 27 Apr 2023
Scalable Causal Discovery with Score Matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Kun Zhang Francesco Locatello CML 42 25 0 06 Apr 2023
Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms Felix L. Rios G. Moffa Jack Kuipers CML 22 12 0 08 Jul 2021
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 257 0 29 Sep 2019