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Neural Granger Causality

16 February 2018

Papers citing "Neural Granger Causality"

30 / 30 papers shown

Title
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 107 1 0 06 Feb 2024
Doubly Robust Structure Identification from Temporal Data Emmanouil Angelis Francesco Quinzan Ashkan Soleymani Patrick Jaillet Stefan Bauer CML OOD 90 2 0 10 Nov 2023
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences Yuequn Liu Ruichu Cai Wei Chen Jie Qiao Yuguang Yan Zijian Li Keli Zhang Zijian Li CML 62 4 0 25 Jun 2023
Recurrences reveal shared causal drivers of complex time series W. Gilpin CML AI4TS 90 8 0 31 Jan 2023
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise Wenbo Gong Joel Jennings Chen Zhang Nick Pawlowski AI4TS CML 94 28 0 26 Oct 2022
Granger causal inference on DAGs identifies genomic loci regulating transcription Rohit Singh Alexander P. Wu Bonnie Berger CML 75 17 0 18 Oct 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran 122 10 0 09 Sep 2022
Causal Imitative Model for Autonomous Driving Mohammad Reza Samsami Mohammadhossein Bahari Saber Salehkaleybar Alexandre Alahi CML 67 12 0 07 Dec 2021
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals Wasim Ahmad M. Shadaydeh Joachim Denzler BDL CML 81 4 0 22 Sep 2021
Learning interaction rules from multi-animal trajectories via augmented behavioral models Keisuke Fujii Naoya Takeishi Kazushi Tsutsui Emyo Fujioka Nozomi Nishiumi ... Hiroyoshi Kohno K. Yoda S. Takahashi S. Hiryu Yoshinobu Kawahara 77 13 0 12 Jul 2021
Causal Graph Discovery from Self and Mutually Exciting Time Series S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran CML 99 2 0 04 Jun 2021
Neural graphical modelling in continuous-time: consistency guarantees and algorithms Alexis Bellot K. Branson M. Schaar CML AI4TS 96 46 0 06 May 2021
Granger Causality: A Review and Recent Advances Ali Shojaie E. Fox CML AI4TS 109 284 0 05 May 2021
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality Trisha Mittal Puneet Mathur Aniket Bera Tianyi Zhou CVBM 55 37 0 11 Mar 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 113 111 0 11 Feb 2021
Hawkes Processes on Graphons Hongteng Xu Dixin Luo H. Zha 78 1 0 04 Feb 2021
Interpretable Models for Granger Causality Using Self-explaining Neural Networks Ricards Marcinkevics Julia E. Vogt MILM CML 96 64 0 19 Jan 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 90 121 0 03 Dec 2020
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Bart Bussmann Jannes Nys Steven Latré CML BDL 72 26 0 19 Oct 2020
Consistent Feature Selection for Analytic Deep Neural Networks Vu C. Dinh L. Ho FAtt 426 37 0 16 Oct 2020
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting Boris N. Oreshkin A. Amini Lucy Coyle Mark Coates AI4TS 113 102 0 30 Jul 2020
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling Keisuke Fujii Naoya Takeishi Yoshinobu Kawahara K. Takeda 75 9 0 07 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 129 135 0 18 Jun 2020
Dynamic Window-level Granger Causality of Multi-channel Time Series Zhe Zhang Wenbo Hu Tian Tian Jun Zhu AI4TS 69 3 0 14 Jun 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 128 1 0 11 Jan 2020
Discovering Nonlinear Relations with Minimum Predictive Information Regularization Tailin Wu Thomas Breuel M. Skuhersky Jan Kautz AI4TS 66 27 0 07 Jan 2020
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality Saurabh Khanna Vincent Y. F. Tan AI4TS 96 73 0 22 Nov 2019
Online Topology Identification from Vector Autoregressive Time Series Bakht Zaman Luis Miguel Lopez Ramos Daniel Romero B. Beferull-Lozano 97 41 0 03 Apr 2019
Forecasting, Causality, and Impulse Response with Neural Vector Autoregressions K. I. Cabanilla Kevin Thomas Go 46 0 0 22 Mar 2019
Multi-variable LSTM neural network for autoregressive exogenous model Tian Guo Tao R. Lin BDL AI4TS 107 19 0 17 Jun 2018