A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

27 March 2023

Papers citing "A Survey on Causal Discovery Methods for I.I.D. and Time Series Data"

19 / 19 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 45 0 0 06 Mar 2025
Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction Emam Hossain Muhammad Hasan Ferdous Jianwu Wang Aneesh Subramanian Md. Osman Gani OOD CML AI4CE 71 0 0 03 Mar 2025
Causal Temporal Regime Structure Learning Abdellah Rahmani Pascal Frossard CML 73 2 0 20 Feb 2025
MotifDisco: Motif Causal Discovery For Time Series Motifs Josephine Lamp M. Derdzinski Christopher Hannemann Sam Hatfield Joost van der Linden CML AI4TS BDL 23 0 0 23 Sep 2024
Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments Julian Gerald Dcruz Sam Mahoney Jia Yun Chua Adoundeth Soukhabandith John Mugabe Weisi Guo Miguel Arana-Catania 14 0 0 20 Sep 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 30 1 0 02 Jul 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 56 12 0 02 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 40 6 0 09 Apr 2024
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data Omar Faruque Sahara Ali Xue Zheng Jianwu Wang AI4TS BDL CML 45 1 0 01 Apr 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 29 8 0 28 Feb 2024
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach Masayuki Takayama Tadahisa Okuda Thong Pham T. Ikenoue Shingo Fukuma Shohei Shimizu Akiyoshi Sannai 71 16 0 02 Feb 2024
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms D. Bystrova Charles K. Assaad Julyan Arbel Emilie Devijver Éric Gaussier W. Thuiller AI4TS CML 17 6 0 14 Jun 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 31 11 0 16 May 2023
Optimizing Data-driven Causal Discovery Using Knowledge-guided Search Uzma Hasan Md. Osman Gani CML 25 2 0 11 Apr 2023
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference Sahara Ali Omar Faruque Yiyi Huang Md. Osman Gani Aneesh Subramanian Nicole-Jienne Shchlegel Jianwu Wang CML 23 3 0 22 Feb 2023
Causal Discovery of Flight Service Process Based on Event Sequence Zhi-wei Xing Lin Zhang Huan Xia Qian Luo Zhaoxin Chen AI4TS 19 5 0 28 Apr 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 53 71 0 18 Oct 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 75 117 0 18 Oct 2019
Trek separation for Gaussian graphical models S. Sullivant Kelli Talaska J. Draisma 125 124 0 10 Dec 2008