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Discovering contemporaneous and lagged causal relations in
  autocorrelated nonlinear time series datasets
v1v2 (latest)

Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets

Conference on Uncertainty in Artificial Intelligence (UAI), 2020
7 March 2020
Jakob Runge
ArXiv (abs)PDFHTML

Papers citing "Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets"

50 / 91 papers shown
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data
M. Asres
C. Omlin
the CMS-HCAL Collaboration
521
1
0
24 Dec 2025
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
Ruichu Cai
Xiaokai Huang
Wei Chen
Zijian Li
Zhifeng Hao
CML
263
0
0
13 Nov 2025
Causal Ordering for Structure Learning from Time Series
Causal Ordering for Structure Learning from Time Series
Pedro Sanchez
Damian Machlanski
Steven McDonagh
Sotirios A. Tsaftaris
CMLAI4TS
444
1
0
28 Oct 2025
Group Interventions on Deep Networks for Causal Discovery in Subsystems
Group Interventions on Deep Networks for Causal Discovery in Subsystems
Wasim Ahmad
Joachim Denzler
M. Shadaydeh
BDL
380
0
0
27 Oct 2025
Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift
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
OODCML
191
0
0
17 Oct 2025
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
Zhiqing Cui
Binwu Wang
Qingxiang Liu
Y. Wang
Zhengyang Zhou
Yuxuan Liang
Yang Wang
AI4TS
269
0
0
09 Oct 2025
Reasoning-based Anomaly Detection Framework: A Real-time, Scalable, and Automated Approach to Anomaly Detection Across Domains
Reasoning-based Anomaly Detection Framework: A Real-time, Scalable, and Automated Approach to Anomaly Detection Across Domains
Anupam Panwar
Himadri Pal
Jiali Chen
Kyle Cho
Riddick Jiang
Miao Zhao
Rajiv Krishnamurthy
AI4TS
166
0
0
03 Oct 2025
Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
S. SaranyaGanesh
Frederick Iat-Hin Tam
Milton S. Gomez
Marie McGraw
Mark DeMaria
K. Musgrave
Jakob Runge
Tom Beucler
278
0
0
02 Oct 2025
Agentic System with Modal Logic for Autonomous Diagnostics
Agentic System with Modal Logic for Autonomous Diagnostics
Antonin Sulc
Thorsten Hellert
275
0
0
15 Sep 2025
Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction
Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction
Emam Hossain
Md. Osman Gani
OODCML
207
1
0
11 Sep 2025
Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
Timothée Loranchet
Charles K. Assaad
CML
133
0
0
29 Aug 2025
Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
Songyao Jin
Biwei Huang
CML
256
0
0
15 Aug 2025
NEXICA: Discovering Road Traffic Causality (Extended arXiv Version)
NEXICA: Discovering Road Traffic Causality (Extended arXiv Version)
Siddharth Srikanth
John Krumm
Jonathan Qin
CML
104
1
0
13 Aug 2025
Causal Discovery in Multivariate Time Series through Mutual Information Featurization
Causal Discovery in Multivariate Time Series through Mutual Information Featurization
Gian Marco Paldino
Gianluca Bontempi
AI4TSCML
134
0
0
03 Aug 2025
On-Device Diffusion Transformer Policy for Efficient Robot Manipulation
On-Device Diffusion Transformer Policy for Efficient Robot Manipulation
Yiming Wu
Zhenghao Chen
Huan Wang
Jianxin Pang
Dong Xu
124
0
0
01 Aug 2025
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
Arun Vignesh Malarkkan
Dongjie Wang
Haoyue Bai
Yanjie Fu
220
4
0
18 Jul 2025
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Abdellah Rahmani
P. Frossard
AI4TSCML
314
0
0
20 Jun 2025
Causal Climate Emulation with Bayesian Filtering
Causal Climate Emulation with Bayesian Filtering
Sebastian Hickman
Ilija Trajkovic
Julia Kaltenborn
Francis Pelletier
Alex Archibald
Yaniv Gurwicz
Peer Nowack
David Rolnick
Julien Boussard
406
3
0
11 Jun 2025
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
Muhammad Hasan Ferdous
Emam Hossain
Md. Osman Gani
AI4TS
290
5
0
02 Jun 2025
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
Zachary C. Brown
David Carlson
CMLAI4CE
397
1
0
27 May 2025
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
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
CMLAI4CE
445
1
0
22 May 2025
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems
Juan Nathaniel
Carla Roesch
Jatan Buch
Derek DeSantis
Adam Rupe
Kara Lamb
Pierre Gentine
CML
210
5
0
20 May 2025
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
Luca Castri
Gloria Beraldo
Nicola Bellotto
404
1
0
16 Apr 2025
An Asymmetric Independence Model for Causal Discovery on Path Spaces
An Asymmetric Independence Model for Causal Discovery on Path SpacesCLEaR (CLEaR), 2025
Georg Manten
Cecilia Casolo
Søren Wengel Mogensen
Niki Kilbertus
440
1
0
12 Mar 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning
Albert Wilcox
Mohamed Ghanem
Masoud Moghani
Pierre Barroso
Benjamin Joffe
Animesh Garg
566
0
0
06 Mar 2025
Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction
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
OODCMLAI4CE
445
4
0
03 Mar 2025
Causal Temporal Regime Structure Learning
Causal Temporal Regime Structure LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Abdellah Rahmani
Pascal Frossard
CML
618
2
0
20 Feb 2025
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Minghao Fu
Zhen Zhang
Zijian Li
Yujia Zheng
Ignavier Ng
Guangyi Chen
Yingyao Hu
Kun Zhang
CML
381
1
0
21 Jan 2025
SpaceTime: Causal Discovery from Non-Stationary Time Series
SpaceTime: Causal Discovery from Non-Stationary Time SeriesAAAI Conference on Artificial Intelligence (AAAI), 2025
Sarah Mameche
Lénaïg Cornanguer
Urmi Ninad
Jilles Vreeken
CMLAI4TS
329
4
0
20 Jan 2025
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock
  Movement Prediction
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement PredictionNeural Information Processing Systems (NeurIPS), 2024
Shuqi Li
Yuebo Sun
Yuxin Lin
Xin Gao
Shuo Shang
Rui Yan
AIFin
391
6
0
10 Nov 2024
Causal Representation Learning in Temporal Data via Single-Parent
  Decoding
Causal Representation Learning in Temporal Data via Single-Parent Decoding
Philippe Brouillard
Sébastien Lachapelle
Julia Kaltenborn
Yaniv Gurwicz
Dhanya Sridhar
Alexandre Drouin
Peer Nowack
Jakob Runge
David Rolnick
CML
261
9
0
09 Oct 2024
CAnDOIT: Causal Discovery with Observational and Interventional Data
  from Time-Series
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-SeriesAdvanced Intelligent Systems (AIS), 2024
Luca Castri
Sariah Mghames
Marc Hanheide
Nicola Bellotto
CML
405
3
0
03 Oct 2024
Causal Discovery from Time-Series Data with Short-Term Invariance-Based
  Convolutional Neural Networks
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
Rujia Shen
Boran Wang
Chao Zhao
Yi Guan
Jingchi Jiang
CMLBDLAI4TS
279
1
0
15 Aug 2024
Sortability of Time Series Data
Sortability of Time Series Data
Christopher Lohse
Jonas Wahl
CML
403
2
0
18 Jul 2024
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
Xiaochuan Gou
Ziyue Li
Tian-Shing Lan
Junpeng Lin
Zhishuai Li
Bingyu Zhao
Chen Zhang
Haiyan Zhao
Xiangliang Zhang
238
1
0
16 Jul 2024
Learning Dynamic Bayesian Networks from Data: Foundations, First
  Principles and Numerical Comparisons
Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons
Vyacheslav Kungurtsev
Fadwa Idlahcen
Petr Rysavý
Pavel Rytíř
Ales Wodecki
498
3
0
25 Jun 2024
Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
Luca Castri
Gloria Beraldo
Sariah Mghames
Marc Hanheide
Nicola Bellotto
319
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0
07 Jun 2024
RealTCD: Temporal Causal Discovery from Interventional Data with Large
  Language Model
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
Peiwen Li
Xin Wang
Zeyang Zhang
Yuan Meng
Fang-lin Shen
Yue Li
Jialong Wang
Yang Li
Wenweu Zhu
519
22
0
23 Apr 2024
The Causal Chambers: Real Physical Systems as a Testbed for AI
  Methodology
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology
Juan L. Gamella
Jonas Peters
Peter Buhlmann
365
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0
17 Apr 2024
TS-CausalNN: Learning Temporal Causal Relations from Non-linear
  Non-stationary Time Series Data
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data
Omar Faruque
Sahara Ali
Xue Zheng
Jianwu Wang
AI4TSBDLCML
372
3
0
01 Apr 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CMLBDL
770
18
0
28 Feb 2024
ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot
  Interaction Applications
ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications
Luca Castri
Gloria Beraldo
Sariah Mghames
Marc Hanheide
Nicola Bellotto
364
6
0
25 Feb 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication
  data
Towards Automated Causal Discovery: a case study on 5G telecommunication data
Konstantina Biza
Antonios Ntroumpogiannis
Sofia Triantafillou
Ioannis Tsamardinos
236
0
0
22 Feb 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs
He Zhao
V. Kitsios
Terry O'Kane
Edwin V. Bonilla
CML
447
2
0
06 Feb 2024
Long-Term Fair Decision Making through Deep Generative Models
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Yaowei Hu
Yongkai Wu
Lu Zhang
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259
5
0
20 Jan 2024
Towards Causal Representations of Climate Model Data
Towards Causal Representations of Climate Model Data
Julien Boussard
Chandni Nagda
Julia Kaltenborn
C. E. E. Lange
Philippe Brouillard
Yaniv Gurwicz
Peer Nowack
David Rolnick
296
10
0
05 Dec 2023
Double Machine Learning Based Structure Identification from Temporal Data
Double Machine Learning Based Structure Identification from Temporal Data
Emmanouil Angelis
Francesco Quinzan
Ashkan Soleymani
Patrick Jaillet
Stefan Bauer
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536
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Neural Structure Learning with Stochastic Differential Equations
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Joel Jennings
Wenbo Gong
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254
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A Review and Roadmap of Deep Causal Model from Different Causal
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Keqing Du
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389
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Causal Feature Selection via Transfer Entropy
Causal Feature Selection via Transfer EntropyIEEE International Joint Conference on Neural Network (IJCNN), 2023
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Alberto Maria Metelli
Marcello Restelli
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240
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