Neural Additive Vector Autoregression Models for Causal Discovery in
Time Series

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Neural Additive Vector Autoregression Models for Causal Discovery in Time Series

19 October 2020

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Papers citing "Neural Additive Vector Autoregression Models for Causal Discovery in Time Series"

18 / 18 papers shown

Title
Flow-Based Non-stationary Temporal Regime Causal Structure Learning Abdellah Rahmani P. Frossard AI4TS CML 24 0 0 20 Jun 2025
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series Zachary C. Brown David Carlson CML AI4CE 62 0 0 27 May 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 162 0 0 06 Mar 2025
Causal Temporal Regime Structure Learning Abdellah Rahmani Pascal Frossard CML 256 2 0 20 Feb 2025
LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models Xiaohui Gao Yue Cheng Peiyang Li Yijie Niu Yifan Ren Yiheng Liu Haiyang Sun Zhuoyi Li Weiwei Xing Xintao Hu AI4CE 48 0 0 26 Oct 2024
Sortability of Time Series Data Christopher Lohse Jonas Wahl CML 103 2 0 18 Jul 2024
Jacobian Regularizer-based Neural Granger Causality Wanqi Zhou Shuanghao Bai Shujian Yu Qibin Zhao Badong Chen CML 85 4 0 14 May 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 105 1 0 06 Feb 2024
Doubly Robust Structure Identification from Temporal Data Emmanouil Angelis Francesco Quinzan Ashkan Soleymani Patrick Jaillet Stefan Bauer CML OOD 78 2 0 10 Nov 2023
Neural Structure Learning with Stochastic Differential Equations Benjie Wang Joel Jennings Wenbo Gong CML AI4TS 66 7 0 06 Nov 2023
Efficient Interpretable Nonlinear Modeling for Multiple Time Series K. Roy Luis Miguel Lopez Ramos B. Beferull-Lozano AI4TS 44 0 0 29 Sep 2023
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series Anpeng Wu Haoxuan Li Kun Kuang Ke Zhang Leilei Gan CML 117 2 0 16 Aug 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 126 31 0 27 Mar 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data Muhammad Hasan Ferdous Uzma Hasan Md. Osman Gani CML 64 3 0 07 Feb 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour Rhys Howard Lars Kunze CML 86 7 0 31 Jan 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise Wenbo Gong Joel Jennings Chen Zhang Nick Pawlowski AI4TS CML 92 27 0 26 Oct 2022
Deep Recurrent Modelling of Granger Causality with Latent Confounding Zexuan Yin P. Barucca CML BDL 50 13 0 23 Feb 2022