CUTS+: High-dimensional Causal Discovery from Irregular Time-series

CUTS+: High-dimensional Causal Discovery from Irregular Time-series

10 May 2023

Papers citing "CUTS+: High-dimensional Causal Discovery from Irregular Time-series"

14 / 14 papers shown

Title
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 41 0 0 06 Mar 2025
Time Series Domain Adaptation via Latent Invariant Causal Mechanism Ruichu Cai Junxian Huang Zhenhui Yang Zijian Li Emadeldeen Eldele Min Wu Fuchun Sun OOD CML BDL AI4TS 46 0 0 23 Feb 2025
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care Yuxiao Cheng Xinxin Song Ziqian Wang Qin Zhong Kunlun He J. Suo OOD CML 83 0 0 04 Feb 2025
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
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks Rujia Shen Boran Wang Chao Zhao Yi Guan Jingchi Jiang CML BDL AI4TS 14 0 0 15 Aug 2024
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data Ziyi Zhang Shaogang Ren Xiaoning Qian Nick Duffield AI4TS CML 22 3 0 14 Jun 2024
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 31 1 0 07 Jun 2024
Jacobian Regularizer-based Neural Granger Causality Wanqi Zhou Shuanghao Bai Shujian Yu Qibin Zhao Badong Chen CML 20 3 0 14 May 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 24 1 0 06 Feb 2024
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery Yuxiao Cheng Ziqian Wang Tingxiong Xiao Qin Zhong J. Suo Kunlun He AI4TS CML 14 11 0 03 Oct 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 12 11 0 16 May 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 11 17 0 17 Mar 2023
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 32 71 0 06 Dec 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 194 1,674 0 06 Jun 2016