v1v2v3 (latest)

High-recall causal discovery for autocorrelated time series with latent confounders

3 July 2020

ArXiv (abs)PDF HTML Github (1462★)

Papers citing "High-recall causal discovery for autocorrelated time series with latent confounders"

50 / 56 papers shown

Title
Causal Climate Emulation with Bayesian Filtering Sebastian Hickman Ilija Trajkovic Julia Kaltenborn Francis Pelletier Alex Archibald Yaniv Gurwicz Peer Nowack David Rolnick Julien Boussard 85 0 0 11 Jun 2025
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery Muhammad Hasan Ferdous Emam Hossain Md. Osman Gani AI4TS 80 0 0 02 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 50 0 0 27 May 2025
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 102 0 0 22 May 2025
Causal Identification in Time Series Models Erik Jahn Karthik Karnik Leonard J. Schulman CML AI4TS 93 0 0 28 Apr 2025
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments Luca Castri Gloria Beraldo Nicola Bellotto 97 0 0 16 Apr 2025
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets Christine W. Bang Vanessa Didelez CML 158 0 0 27 Mar 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
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 80 0 0 21 Jan 2025
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data M. Asres C. Omlin the CMS-HCAL Collaboration 119 0 0 16 Dec 2024
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 111 0 0 11 Nov 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction Shuqi Li Yuebo Sun Yuxin Lin Xin Gao Shuo Shang Rui Yan AIFin 51 1 0 10 Nov 2024
Unified Causality Analysis Based on the Degrees of Freedom András Telcs M. T. Kurbucz Antal Jakovác CML 42 0 0 25 Oct 2024
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 68 1 0 03 Oct 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning Tieyuan Chen Huabin Liu Tianyao He Yihang Chen Chaofan Gan ... Cheng Zhong Yang Zhang Yingxue Wang Hui Lin Weiyao Lin VGen CML 129 9 0 26 Sep 2024
Causal Discovery in Semi-Stationary Time Series Shanyun Gao Raghavendra Addanki Tong Yu Ryan Rossi Murat Kocaoglu AI4TS 86 5 0 10 Jul 2024
CausalMMM: Learning Causal Structure for Marketing Mix Modeling Chang Gong Di Yao Lei Zhang Sheng Chen Wenbin Li Yueyang Su Jingping Bi 81 6 0 24 Jun 2024
Large Language Models for Constrained-Based Causal Discovery Kai-Hendrik Cohrs Gherardo Varando Emiliano Díaz Vasileios Sitokonstantinou Gustau Camps-Valls 110 12 0 11 Jun 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity Wenrui Li Wei Zhang Qinghao Zhang Xuegong Zhang Xiaowo Wang 70 0 0 14 May 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 121 1 0 01 Apr 2024
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks Abdolmahdi Bagheri Mahdi Dehshiri Babak N. Araabi Alireza Akhondi-Asl CML 103 1 0 08 Mar 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 248 12 0 28 Feb 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 62 0 0 22 Feb 2024
Use of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and its Application to Time Series Data Takashi Nicholas Maeda Shohei Shimizu CML 46 0 0 14 Jan 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
Assumption violations in causal discovery and the robustness of score matching Francesco Montagna Atalanti A. Mastakouri Elias Eulig Nicoletta Noceti Lorenzo Rosasco Dominik Janzing Bryon Aragam Francesco Locatello OOD 84 18 0 20 Oct 2023
Causal Feature Selection via Transfer Entropy Paolo Bonetti Alberto Maria Metelli Marcello Restelli CML 56 6 0 17 Oct 2023
Projecting infinite time series graphs to finite marginal graphs using number theory Andreas Gerhardus Jonas Wahl Sofia Faltenbacher Urmi Ninad Jakob Runge AI4TS 56 3 0 09 Oct 2023
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery Yuxiao Cheng Ziqian Wang Tingxiong Xiao Qin Zhong J. Suo Kunlun He AI4TS CML 91 17 0 03 Oct 2023
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme Yuanhao Liu Dehui Du Zihan Jiang Anyan Huang Yiyang Li BDL CML AI4TS 40 0 0 13 Sep 2023
Case Studies of Causal Discovery from IT Monitoring Time Series Ali Aït-Bachir Charles K. Assaad Christophe de Bignicourt Emilie Devijver Simon Ferreira Éric Gaussier Hosein Mohanna Lei Zan CML AI4TS 74 8 0 28 Jul 2023
Bootstrap aggregation and confidence measures to improve time series causal discovery Kevin Debeire Jakob Runge Andreas Gerhardus Berlin CML AI4TS 61 7 0 15 Jun 2023
Foundations of Causal Discovery on Groups of Variables Jonas Wahl Urmi Ninad Jakob Runge CML 76 11 0 12 Jun 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders R. Y. Rohekar Shami Nisimov Yaniv Gurwicz Gal Novik CML 44 11 0 01 Jun 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 77 0 21 May 2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series Yuxiao Cheng Lianglong Li Tingxiong Xiao Zongren Li Qionghai Dai J. Suo K. He CML BDL AI4TS 99 26 0 10 May 2023
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery S. SaranyaGanesh Tom Beucler Frederick Iat-Hin Tam Milton S. Gomez Jakob Runge Andreas Gerhardus 59 6 0 11 Apr 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges Qian Cheng Doyen Sahoo Amrita Saha Wenjing Yang Chenghao Liu Gerald Woo Manpreet Singh Silvio Saverese Guosheng Lin 132 21 0 10 Apr 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
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 114 18 0 17 Mar 2023
Causal Temporal Graph Convolutional Neural Networks (CTGCN) Abigail Langbridge Fearghal O'Donncha Amadou Ba Fabio Lorenzi Christopher Lohse J. Ploennigs GNN 46 1 0 16 Mar 2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data Yuxiao Cheng Runzhao Yang Tingxiong Xiao Zongren Li J. Suo K. He Qionghai Dai OOD BDL AI4TS CML 76 28 0 15 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zijian Li CML 144 30 0 10 Feb 2023
Multi-Level Association Rule Mining for Wireless Network Time Series Data Chenguang Zhu C. Qiu Shaoyu Dou Minghao Liao AI4TS 46 0 0 15 Dec 2022
Observational and Interventional Causal Learning for Regret-Minimizing Control Christian Reiser CML 27 0 0 05 Dec 2022
AI Empowered Net-RCA for 6G C. Qiu Kai Yang Ji Wang Shenjie Zhao 21 4 0 01 Dec 2022
Pitfalls of Climate Network Construction: A Statistical Perspective Moritz Haas B. Goswami U. V. Luxburg 55 4 0 05 Nov 2022
Learning domain-specific causal discovery from time series Xinyue Wang Konrad Paul Kording BDL CML AI4TS 52 1 0 12 Sep 2022
Causal discovery for time series with latent confounders Christian Reiser BDL CML AI4TS 37 4 0 07 Sep 2022
Causal Discovery using Model Invariance through Knockoff Interventions Wasim Ahmad M. Shadaydeh Joachim Denzler CML 57 4 0 08 Jul 2022