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High-recall causal discovery for autocorrelated time series with latent
  confounders
v1v2v3 (latest)

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

3 July 2020
Andreas Gerhardus
J. Runge
    CMLAI4TS
ArXiv (abs)PDFHTMLGithub (1462★)

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

50 / 65 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
522
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
InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding
InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding
Ziyi Zhang
Shaogang Ren
Xiaoning Qian
N. Duffield
156
0
0
22 Oct 2025
Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks
Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks
Chenhua Shi
Joji Philip
Subhadip Bandyopadhyay
Jayanta Choudhury
70
0
0
02 Oct 2025
Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
Federico Cerutti
180
1
0
08 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
Transforming Causality: Transformer-Based Temporal Causal Discovery with Prior Knowledge Integration
Transforming Causality: Transformer-Based Temporal Causal Discovery with Prior Knowledge Integration
Jihua Huang
Yi Yao
Ajay Divakaran
AI4TS
113
0
0
21 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
263
0
0
15 Aug 2025
Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?
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
AI4TSLRM
328
4
0
05 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
140
0
0
03 Aug 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
Causal Identification in Time Series Models
Causal Identification in Time Series ModelsCLEaR (CLEaR), 2025
Erik Jahn
Karthik Karnik
Leonard J. Schulman
CMLAI4TS
318
1
0
28 Apr 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
407
1
0
16 Apr 2025
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasetsCLEaR (CLEaR), 2025
Christine W. Bang
Vanessa Didelez
CML
423
2
0
27 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
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
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis
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
328
3
0
11 Nov 2024
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
Unified Causality Analysis Based on the Degrees of Freedom
Unified Causality Analysis Based on the Degrees of FreedomPhysical Review E (Phys. Rev. E), 2024
András Telcs
M. T. Kurbucz
Antal Jakovác
CML
190
2
0
25 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
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
MECD: Unlocking Multi-Event Causal Discovery in Video ReasoningNeural Information Processing Systems (NeurIPS), 2024
Yun Xu
Huabin Liu
Tianyao He
Yihang Chen
Chaofan Gan
...
Cheng Zhong
Yang Zhang
Yingxue Wang
Hui Lin
Weiyao Lin
VGenCML
511
23
0
26 Sep 2024
Causal Discovery in Semi-Stationary Time Series
Causal Discovery in Semi-Stationary Time Series
Shanyun Gao
Raghavendra Addanki
Tong Yu
Ryan Rossi
Murat Kocaoglu
AI4TS
292
13
0
10 Jul 2024
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Chang Gong
Di Yao
Lei Zhang
Sheng Chen
Wenbin Li
Yueyang Su
Jingping Bi
308
12
0
24 Jun 2024
Large Language Models for Constrained-Based Causal Discovery
Large Language Models for Constrained-Based Causal Discovery
Kai-Hendrik Cohrs
Gherardo Varando
Emiliano Díaz
Vasileios Sitokonstantinou
Gustau Camps-Valls
295
24
0
11 Jun 2024
Weakly-supervised causal discovery based on fuzzy knowledge and complex
  data complementarity
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarityIEEE transactions on fuzzy systems (IEEE Trans. Fuzzy Syst.), 2024
Wenrui Li
Wei Zhang
Qinghao Zhang
Xuegong Zhang
Xiaowo Wang
295
6
0
14 May 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
Algorithmic Identification of Essential Exogenous Nodes for Causal
  Sufficiency in Brain Networks
Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
Abdolmahdi Bagheri
Mahdi Dehshiri
Babak N. Araabi
Alireza Akhondi-Asl
CML
375
2
0
08 Mar 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
774
18
0
28 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
Use of Prior Knowledge to Discover Causal Additive Models with
  Unobserved Variables and its Application to Time Series Data
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
347
2
0
14 Jan 2024
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
OODCML
536
2
0
10 Nov 2023
Assumption violations in causal discovery and the robustness of score
  matching
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
268
29
0
20 Oct 2023
Causal Feature Selection via Transfer Entropy
Causal Feature Selection via Transfer EntropyIEEE International Joint Conference on Neural Network (IJCNN), 2023
Paolo Bonetti
Alberto Maria Metelli
Marcello Restelli
CML
240
10
0
17 Oct 2023
Projecting infinite time series graphs to finite marginal graphs using
  number theory
Projecting infinite time series graphs to finite marginal graphs using number theory
Andreas Gerhardus
Jonas Wahl
Sofia Faltenbacher
Urmi Ninad
Jakob Runge
AI4TS
237
3
0
09 Oct 2023
CausalTime: Realistically Generated Time-series for Benchmarking of
  Causal Discovery
CausalTime: Realistically Generated Time-series for Benchmarking of Causal DiscoveryInternational Conference on Learning Representations (ICLR), 2023
Yuxiao Cheng
Ziqian Wang
Tingxiong Xiao
Qin Zhong
J. Suo
Kunlun He
AI4TSCML
289
31
0
03 Oct 2023
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel
  Internal Causality Scheme
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme
Yuanhao Liu
Dehui Du
Zihan Jiang
Anyan Huang
Yiyang Li
BDLCMLAI4TS
250
0
0
13 Sep 2023
Case Studies of Causal Discovery from IT Monitoring Time Series
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
CMLAI4TS
247
13
0
28 Jul 2023
Bootstrap aggregation and confidence measures to improve time series
  causal discovery
Bootstrap aggregation and confidence measures to improve time series causal discoveryCLEaR (CLEaR), 2023
Kevin Debeire
Jakob Runge
Andreas Gerhardus
Berlin
CMLAI4TS
292
12
0
15 Jun 2023
Foundations of Causal Discovery on Groups of Variables
Foundations of Causal Discovery on Groups of VariablesJournal of Causal Inference (JCI), 2023
Jonas Wahl
Urmi Ninad
Jakob Runge
CML
499
21
0
12 Jun 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the
  Presence of Latent Confounders
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent ConfoundersInternational Conference on Machine Learning (ICML), 2023
R. Y. Rohekar
Shami Nisimov
Yaniv Gurwicz
Gal Novik
CML
221
11
0
01 Jun 2023
Discovering Causal Relations and Equations from Data
Discovering Causal Relations and Equations from DataPhysics reports (Phys. Rep.), 2023
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINNAI4ClAI4CECML
291
125
0
21 May 2023
CUTS+: High-dimensional Causal Discovery from Irregular Time-series
CUTS+: High-dimensional Causal Discovery from Irregular Time-seriesAAAI Conference on Artificial Intelligence (AAAI), 2023
Yuxiao Cheng
Lianglong Li
Tingxiong Xiao
Zongren Li
Qionghai Dai
J. Suo
K. He
CMLBDLAI4TS
375
55
0
10 May 2023
Selecting Robust Features for Machine Learning Applications using
  Multidata Causal Discovery
Selecting Robust Features for Machine Learning Applications using Multidata Causal DiscoveryEnvironmental Data Science (EDS), 2023
S. SaranyaGanesh
Tom Beucler
Frederick Iat-Hin Tam
Milton S. Gomez
Jakob Runge
Andreas Gerhardus
482
13
0
11 Apr 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities
  and Challenges
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
413
42
0
10 Apr 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
Uzma Hasan
Emam Hossain
Md. Osman Gani
CMLAI4TS
708
56
0
27 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives
Causal Discovery from Temporal Data: An Overview and New PerspectivesACM Computing Surveys (ACM Comput. Surv.), 2023
Chang Gong
Di Yao
Chuzhe Zhang
Wenbin Li
Jingping Bi
AI4TSCML
455
65
0
17 Mar 2023
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Causal Temporal Graph Convolutional Neural Networks (CTGCN)
Abigail Langbridge
Fearghal O'Donncha
Amadou Ba
Fabio Lorenzi
Christopher Lohse
J. Ploennigs
GNN
283
4
0
16 Mar 2023
12
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