Causal Discovery from Time-Series Data with Short-Term Invariance-Based
Convolutional Neural Networks

Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks

15 August 2024

Chao Zhao

Yi Guan

Papers citing "Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks"

7 / 7 papers shown

Title
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 35 73 0 22 Jul 2021
Graph Convolutional Networks for Hyperspectral Image Classification Danfeng Hong Lianru Gao Jing Yao Bing Zhang Antonio J. Plaza Jocelyn Chanussot 30 1,102 0 06 Aug 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 286 234 0 16 Mar 2020
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets Jakob Runge 50 187 0 07 Mar 2020
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets Ziqiang Cheng Yang Yang Wei Wang Wenjie Hu Yueting Zhuang Guojie Song AI4TS 35 62 0 11 Nov 2019
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 98 597 0 14 Nov 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 82 618 0 14 Feb 2012