Papers citing 'Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning'

Title
Online Time Series Forecasting with Theoretical Guarantees Zijian Li Changze Zhou Minghao Fu Sanjay Manjunath Fan Feng Guangyi Chen Yingyao Hu Ruichu Cai Kun Zhang AI4TS OOD 108 0 0 21 Oct 2025
Learning Robust Intervention Representations with Delta Embeddings Panagiotis Alimisis Christos Diou OOD CML 120 0 0 06 Aug 2025
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning Patrik Reizinger Bálint Mucsányi Siyuan Guo Benjamin Eysenbach Bernhard Schölkopf Wieland Brendel SSL 142 1 0 19 Jul 2025
Causal View of Time Series Imputation: Some Identification Results on Missing MechanismInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zijian Li Boyan Xu Zhifeng Hao AI4TS CML 313 0 0 12 May 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Christian Schroeder de Witt Matthias Bethge Seong Joon Oh OCL 2.0K 3 0 09 Apr 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System Juan L. Gamella Simon Bing Jakob Runge CML 407 2 0 27 Feb 2025
Time Series Domain Adaptation via Latent Invariant Causal Mechanism Ruichu Cai Junxian Huang Zhenhui Yang Zijian Li Emadeldeen Eldele Min Wu Gang Hua OOD CML BDL AI4TS 251 0 0 23 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2025 Ruichu Cai Haiqin Huang Zhifang Jiang Zijian Li Changze Zhou Yuequn Liu Yuming Liu Zijian Li AI4TS CML 277 3 0 18 Feb 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 312 1 0 22 Jan 2025
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Charles Arnal Alexia Jolicoeur-Martineau Kartik Ahuja Pascal Vincent 404 9 0 08 Oct 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 518 12 0 22 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 220 4 0 30 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 263 3 0 25 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence Zijian Li Yifan Shen Kaitao Zheng Ruichu Cai Xiangchen Song Biwei Huang Zhengmao Zhu Guan-Hong Chen Kun Zhang CML 374 11 0 24 May 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 351 0 0 16 Feb 2024
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations Yuejiang Liu Ahmad Rahimi Po-Chien Luan Frano Rajic Alexandre Alahi 354 6 0 07 Dec 2023
Object-Centric Multiple Object TrackingIEEE International Conference on Computer Vision (ICCV), 2023 Zixu Zhao Jiaze Wang Max Horn Yizhuo Ding Tong He ... Bernt Schiele Yanwei Fu Francesco Locatello Zheng Zhang Tianjun Xiao VOT OCL 282 9 0 01 Sep 2023
Learning Linear Causal Representations from Interventions under General Nonlinear MixingNeural Information Processing Systems (NeurIPS), 2023 Simon Buchholz Goutham Rajendran Elan Rosenfeld Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar CML 310 76 0 04 Jun 2023
Interventional Causal Representation LearningInternational Conference on Machine Learning (ICML), 2022 Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 324 114 0 24 Sep 2022