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CausalTime: Realistically Generated Time-series for Benchmarking of
  Causal Discovery

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

3 October 2023
Yuxiao Cheng
Ziqian Wang
Tingxiong Xiao
Qin Zhong
J. Suo
Kunlun He
    AI4TS
    CML
ArXivPDFHTML

Papers citing "CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery"

4 / 4 papers shown
Title
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
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
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu
Mengzhou Gao
Pengfei Jiao
CML
AI4TS
37
1
0
23 Jan 2025
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
Yue Cheng
Jiajun Zhang
Weiwei Xing
Xiaoyu Guo
Yue Cheng
Witold Pedrycz
CML
27
0
0
25 Oct 2024
$\texttt{causalAssembly}$: Generating Realistic Production Data for
  Benchmarking Causal Discovery
causalAssembly\texttt{causalAssembly}causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery
Konstantin Göbler
Tobias Windisch
Mathias Drton
T. Pychynski
Steffen Sonntag
Martin Roth
CML
54
9
0
19 Jun 2023
1