CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods

2 August 2022

Papers citing "CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods"

8 / 8 papers shown

Title
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series Gideon Stein M. Shadaydeh Jan Blunk Niklas Penzel Joachim Denzler AI4TS 39 0 0 21 Mar 2025
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework Wei Zhou Hong Huang Guowen Zhang Ruize Shi Kehan Yin Yuanyuan Lin Bang Liu CML 50 1 0 07 Jun 2024
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs C. Wehner Maximilian Kertel Judith Wewerka 43 4 0 20 Jan 2024
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris C. Emezue Alexandre Drouin T. Deleu Stefan Bauer Yoshua Bengio CML 35 2 0 11 Jul 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 83 117 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 111 258 0 29 Sep 2019
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 147 435 0 20 Feb 2013