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

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

27 March 2023

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

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Title
Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift Emam Hossain Muhammad Hasan Ferdous Devon Dunmire Aneesh Subramanian Md. Osman Gani OOD CML 81 0 0 17 Oct 2025
Towards Generalization of Graph Neural Networks for AC Optimal Power Flow Olayiwola Arowolo Jochen L. Cremer AI4CE 67 0 0 08 Oct 2025
One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences Hugo Math Robin Schon Rainer Lienhart BDL CML AI4TS 142 0 0 27 Sep 2025
Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation Hugo Math Rainer Lienhart AI4TS 141 0 0 23 Sep 2025
Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? Zewen Liu Juntong Ni Xianfeng Tang Max S. Y. Lau Wei Jin Wei Jin AI4TS LRM 126 2 0 05 Aug 2025
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises Abdellah Rahmani P. Frossard AI4TS CML 182 0 0 20 Jun 2025
Nonlinear Causal Discovery through a Sequential Edge Orientation Approach Stella Huang Qing Zhou CML 249 0 0 05 Jun 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 396 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 271 4 0 03 Mar 2025
Causal Temporal Regime Structure LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Abdellah Rahmani Pascal Frossard CML 434 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 AI4TS CML BDL 309 0 0 23 Sep 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 348 1 0 02 Jul 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 289 26 0 02 May 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 250 15 0 09 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 532 14 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 486 28 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 289 7 0 14 Jun 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal ForecastingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 140 29 0 16 May 2023
Optimizing Data-driven Causal Discovery Using Knowledge-guided Search Uzma Hasan Md. Osman Gani CML 157 5 0 11 Apr 2023