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DYNOTEARS: Structure Learning from Time-Series Data
v1v2 (latest)

DYNOTEARS: Structure Learning from Time-Series Data

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
2 February 2020
Roxana Pamfil
Nisara Sriwattanaworachai
Shaan Desai
Philip Pilgerstorfer
Paul Beaumont
K. Georgatzis
Bryon Aragam
    CMLAI4TSBDL
ArXiv (abs)PDFHTML

Papers citing "DYNOTEARS: Structure Learning from Time-Series Data"

50 / 140 papers shown
Spatio-Temporal Hierarchical Causal Models
Spatio-Temporal Hierarchical Causal Models
Xintong Li
Haoran Zhang
Xiao Zhou
271
0
0
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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
261
0
0
13 Nov 2025
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
Tingzhu Bi
Yicheng Pan
Xinrui Jiang
Huize Sun
Meng Ma
Ping Wang
CMLAI4TS
441
1
0
05 Nov 2025
DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
Dongze Wu
Feng Qiu
Yao Xie
AI4TSOODBDLAI4CE
432
0
0
04 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
443
1
0
28 Oct 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
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
The Robustness of Differentiable Causal Discovery in Misspecified ScenariosInternational Conference on Learning Representations (ICLR), 2025
Huiyang Yi
Yanyan He
Duxin Chen
Mingyu Kang
He Wang
Wenwu Yu
OODCML
223
2
0
14 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
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
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
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
Robust Causal Discovery in Real-World Time Series with Power-Laws
Robust Causal Discovery in Real-World Time Series with Power-Laws
Matteo Tusoni
Giuseppe Masi
Andrea Coletta
Aldo Glielmo
Viviana Arrigoni
N. Bartolini
AI4TS
211
0
0
16 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
Causal Graph Recovery in Neuroimaging through Answer Set Programming
Causal Graph Recovery in Neuroimaging through Answer Set Programming
Mohammadsajad Abavisani
Kseniya Solovyeva
David Danks
Vince D. Calhoun
Sergey Plis
CML
158
0
0
10 Jun 2025
Temporal Causal-based Simulation for Realistic Time-series Generation
Temporal Causal-based Simulation for Realistic Time-series Generation
Nikolaos Gkorgkolis
Nikolaos Kougioulis
Mingxue Wang
Bora Caglayan
Andrea Tonon
Dario Simionato
Ioannis Tsamardinos
CML
303
2
0
02 Jun 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
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-seriesInternational Conference on Learning Representations (ICLR), 2025
Gideon Stein
M. Shadaydeh
Jan Blunk
Niklas Penzel
Joachim Denzler
AI4TS
396
11
0
21 Mar 2025
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward ProfilesIEEE International Conference on Robotics and Automation (ICRA), 2025
Rhys Howard
Nick Hawes
Lars Kunze
CML
350
1
0
18 Mar 2025
Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention
Brain Effective Connectivity Estimation via Fourier Spatiotemporal AttentionKnowledge Discovery and Data Mining (KDD), 2025
Wen Xiong
Jinduo Liu
Junzhong Ji
Fenglong Ma
232
2
0
14 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
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
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
Dynamic Causal Structure Discovery and Causal Effect Estimation
Dynamic Causal Structure Discovery and Causal Effect EstimationKnowledge Discovery and Data Mining (KDD), 2025
Jianian Wang
Rui Song
CML
310
5
0
11 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
$ψ$DAG: Projected Stochastic Approximation Iteration for DAG
  Structure Learning
ψψψDAG: Projected Stochastic Approximation Iteration for DAG Structure Learning
Klea Ziu
Slavomír Hanzely
Loka Li
Kun Zhang
Martin Takáč
Dmitry Kamzolov
365
4
0
31 Oct 2024
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data
Yue Cheng
Jiajun Zhang
Weiwei Xing
Xiaoyu Guo
Yue Cheng
Witold Pedrycz
CML
665
1
0
25 Oct 2024
Revisiting Differentiable Structure Learning: Inconsistency of $\ell_1$
  Penalty and Beyond
Revisiting Differentiable Structure Learning: Inconsistency of ℓ1\ell_1ℓ1​ Penalty and Beyond
Kaifeng Jin
Ignavier Ng
Kun Zhang
Zhen Zhang
387
0
0
24 Oct 2024
ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations
ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations
Pavel Rytíř
Ales Wodecki
Georgios Korpas
Jakub Mareˇcek
CML
460
0
0
21 Oct 2024
Online Multi-modal Root Cause Identification in Microservice Systems
Online Multi-modal Root Cause Identification in Microservice Systems
Lecheng Zheng
Zhengzhang Chen
Haifeng Chen
277
1
0
13 Oct 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
Markov Equivalence and Consistency in Differentiable Structure Learning
Markov Equivalence and Consistency in Differentiable Structure LearningNeural Information Processing Systems (NeurIPS), 2024
Chang Deng
Kevin Bello
Pradeep Ravikumar
Bryon Aragam
CML
605
0
0
08 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
404
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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
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Cheng Zhong
Yang Zhang
Yingxue Wang
Hui Lin
Weiyao Lin
VGenCML
507
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Non-negative Weighted DAG Structure Learning
Non-negative Weighted DAG Structure LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Samuel Rey
S. S. Saboksayr
Gonzalo Mateos
CML
239
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12 Sep 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
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15 Aug 2024
Sortability of Time Series Data
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Jonas Wahl
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403
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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
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16 Jul 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
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10 Jul 2024
Causal Discovery-Driven Change Point Detection in Time Series
Causal Discovery-Driven Change Point Detection in Time Series
Shanyun Gao
Raghavendra Addanki
Tong Yu
Ryan Rossi
Murat Kocaoglu
AI4TS
347
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0
10 Jul 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated
  Time-series Forecasting
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
Harshavardhan Kamarthi
Lingkai Kong
Alexander Rodríguez
Chao Zhang
B Aditya Prakash
AI4TS
289
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02 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang
Duxin Chen
Ziyuan Pu
Jianxi Gao
Wenwu Yu
CML
527
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02 Jul 2024
Identifying Nonstationary Causal Structures with High-Order Markov
  Switching Models
Identifying Nonstationary Causal Structures with High-Order Markov Switching Models
Carles Balsells-Rodas
Yixin Wang
P. Mediano
Yingzhen Li
CML
236
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25 Jun 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
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CausalMMM: Learning Causal Structure for Marketing Mix Modeling
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Chang Gong
Di Yao
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307
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CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
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Wengen Li
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Causal Learning in Biomedical Applications: Krebs Cycle as a Benchmark
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ExDAG: an MIQP Algorithm for Learning DAGs
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Ales Wodecki
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281
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