Learning Temporally Causal Latent Processes from General Temporal Data

11 October 2021

Papers citing "Learning Temporally Causal Latent Processes from General Temporal Data"

50 / 63 papers shown

Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Biwei Huang OffRL CML 29 0 0 13 May 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zhengming Chen Boyan Xu Zhifeng Hao AI4TS CML 31 0 0 12 May 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 55 0 0 27 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting Ruichu Cai Haiqin Huang Zhifang Jiang Zijian Li Changze Zhou Yuequn Liu Yuming Liu Z. Hao AI4TS CML 58 1 0 18 Feb 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Biwei Huang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 50 0 0 21 Jan 2025
Information Subtraction: Learning Representations for Conditional Entropy Keng Hou Leong Yuxuan Xiu Wai Kin Chan 41 0 0 02 Jan 2025
Self-supervised contrastive learning performs non-linear system identification Rodrigo González Laiz Tobias Schmidt Steffen Schneider SSL 37 0 0 18 Oct 2024
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 34 3 0 09 Oct 2024
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 26 1 0 03 Oct 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song Zijian Li Guangyi Chen Yujia Zheng Yewen Fan Xinshuai Dong Kun Zhang CML 33 2 0 05 Sep 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Biwei Huang Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 38 1 0 30 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 35 1 0 30 Jun 2024
Identifying latent state transition in non-linear dynamical systems Çağlar Hızlı Çağatay Yıldız Matthias Bethge ST John Pekka Marttinen OOD 25 0 0 05 Jun 2024
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals Ruichu Cai Zhifan Jiang Zijian Li Weilin Chen Xuexin Chen Zhifeng Hao Yifan Shen Guan-Hong Chen Kun Zhang 40 1 0 25 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence Zijian Li Yifan Shen Kaitao Zheng Ruichu Cai Xiangchen Song Mingming Gong Zhengmao Zhu Guan-Hong Chen Kun Zhang CML 29 5 0 24 May 2024
Identifiable Latent Neural Causal Models Yuhang Liu Zhen Zhang Dong Gong Mingming Gong Biwei Huang A. Hengel Kun Zhang Javen Qinfeng Shi CML OOD 40 7 0 23 Mar 2024
Towards the Reusability and Compositionality of Causal Representations Davide Talon Phillip Lippe Stuart James Alessio Del Bue Sara Magliacane BDL CML 38 4 0 14 Mar 2024
A Sparsity Principle for Partially Observable Causal Representation Learning Danru Xu Dingling Yao Sébastien Lachapelle Perouz Taslakian Julius von Kügelgen Francesco Locatello Sara Magliacane CML 40 13 0 13 Mar 2024
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition Yuke Li Guangyi Chen Ben Abramowitz Stefano Anzellotti Donglai Wei TTA 40 1 0 20 Feb 2024
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation Zijian Li Ruichu Cai Zhenhui Yang Haiqin Huang Guan-Hong Chen Yifan Shen Zhengming Chen Xiangchen Song Kun Zhang OOD AI4TS 29 2 0 20 Feb 2024
Causal Representation Learning from Multiple Distributions: A General Setting Kun Zhang Shaoan Xie Ignavier Ng Yujia Zheng CML OOD 29 18 0 07 Feb 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process Guan-Hong Chen Yifan Shen Zhenhao Chen Xiangchen Song Yuewen Sun Weiran Yao Xiao Liu Kun Zhang CML 29 7 0 25 Jan 2024
Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing Jonas Wahl Urmi Ninad Jakob Runge CML OOD 49 3 0 06 Dec 2023
An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis Goutham Rajendran Patrik Reizinger Wieland Brendel Pradeep Ravikumar CML 37 8 0 29 Nov 2023
Doubly Robust Structure Identification from Temporal Data Emmanouil Angelis Francesco Quinzan Ashkan Soleymani P. Jaillet Stefan Bauer CML OOD 34 2 0 10 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 23 9 0 08 Nov 2023
Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions Simon Bing Urmi Ninad Jonas Wahl Jakob Runge CML 15 5 0 05 Nov 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity Yujia Zheng Kun Zhang CML 23 16 0 01 Nov 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity Xiangchen Song Weiran Yao Yewen Fan Xinshuai Dong Guan-Hong Chen Juan Carlos Niebles Eric P. Xing Kun Zhang CML OOD 36 12 0 28 Oct 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 33 9 0 24 Oct 2023
Identifiable Latent Polynomial Causal Models Through the Lens of Change Yuhang Liu Zhen Zhang Dong Gong Mingming Gong Biwei Huang A. Hengel Kun Zhang Javen Qinfeng Shi 25 13 0 24 Oct 2023
General Identifiability and Achievability for Causal Representation Learning Burak Varici Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 37 16 0 24 Oct 2023
Discovering Mixtures of Structural Causal Models from Time Series Data Sumanth Varambally Yi-An Ma Rose Yu 20 4 0 10 Oct 2023
Subspace Identification for Multi-Source Domain Adaptation Zijian Li Ruichu Cai Guan-Hong Chen Boyang Sun Z. Hao Kun Zhang 34 33 0 07 Oct 2023
Multi-Domain Causal Representation Learning via Weak Distributional Invariances Kartik Ahuja Amin Mansouri Yixin Wang CML OOD 21 10 0 04 Oct 2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition Shikai Fang Qingsong Wen Yingtao Luo Shandian Zhe Liang Sun AI4TS 14 5 0 28 Aug 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 44 28 0 16 Jun 2023
Identification of Nonlinear Latent Hierarchical Models Lingjing Kong Biwei Huang Feng Xie Eric P. Xing Yuejie Chi Kun Zhang CML 30 19 0 13 Jun 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Biwei Huang Zhengmao Zhu Hong Tian Mingming Gong Yang Yu Kun Zhang CML OffRL 31 12 0 11 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
Causal Component Analysis Wendong Liang Armin Kekić Julius von Kügelgen Simon Buchholz M. Besserve Luigi Gresele Bernhard Schölkopf CML 32 36 0 26 May 2023
On the Identifiability of Switching Dynamical Systems Carles Balsells-Rodas Yixin Wang Yingzhen Li 32 4 0 25 May 2023
Latent Processes Identification From Multi-View Time Series Zenan Huang Haobo Wang J. Zhao Nenggan Zheng AI4TS 24 4 0 14 May 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel L. Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 39 22 0 17 Apr 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 33 7 0 16 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 53 11 0 29 Jan 2023
Score-based Causal Representation Learning with Interventions Burak Varici Emre Acartürk Karthikeyan Shanmugam Abhishek Kumar A. Tajer CML 33 38 0 19 Jan 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 18 32 0 26 Nov 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 31 11 0 07 Nov 2022