CUTS: Neural Causal Discovery from Irregular Time-Series Data

15 February 2023

Papers citing "CUTS: Neural Causal Discovery from Irregular Time-Series Data"

8 / 8 papers shown

Title
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models Benjamin Herdeanu Juan Nathaniel Carla Roesch Jatan Buch Gregor Ramien Johannes Haux Pierre Gentine CML AI4CE 67 0 0 22 May 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 107 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 61 0 0 25 Oct 2024
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 33 73 0 22 Jul 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 66 297 0 03 Mar 2021
High-recall causal discovery for autocorrelated time series with latent confounders Andreas Gerhardus J. Runge CML AI4TS 38 101 0 03 Jul 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 79 131 0 18 Jun 2020
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning Xiaoshui Huang Fujin Zhu Lois Holloway Ali Haidar CML 31 10 0 09 Jun 2020