{"total":18,"rows":[{"id":"2405.13888","title":"Marrying Causal Representation Learning with Dynamical Systems for Science","created":"2024-05-22","cited_by_count":23,"area":null},{"id":"2409.03142","title":"Causal Temporal Representation Learning with Nonstationary Sparse Transition","created":"2024-09-05","cited_by_count":13,"area":null},{"id":"2405.16083","title":"From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals","created":"2024-05-25","cited_by_count":4,"area":null},{"id":"2601.21135","title":"TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning","created":"2026-01-29","cited_by_count":4,"area":null},{"id":"2502.12603","title":"Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2509.17784","title":"Revealing Multimodal Causality with Large Language Models","created":"2025-09-22","cited_by_count":3,"area":null},{"id":"2603.14483","title":"Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention","created":"2026-03-15","cited_by_count":3,"area":null},{"id":"2510.18281","title":"Online Time Series Forecasting with Theoretical Guarantees","created":"2025-10-21","cited_by_count":2,"area":null},{"id":"2602.05033","title":"Causal Representation Meets Stochastic Modeling under Generic Geometry","created":"2026-02-04","cited_by_count":2,"area":null},{"id":"2505.07180","title":"Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism","created":"2025-05-12","cited_by_count":1,"area":null},{"id":"2509.23027","title":"Understanding Catastrophic Interference: On the Identifibility of Latent Representations","created":"2025-09-27","cited_by_count":1,"area":null},{"id":"2605.05524","title":"MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2605.06315","title":"End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2406.03337","title":"Identifying latent state transition in non-linear dynamical systems","created":"2024-06-05","cited_by_count":0,"area":null},{"id":"2507.05412","title":"Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2606.28228","title":"Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts","created":"2026-06-26","cited_by_count":0,"area":null},{"id":"2609.33273","title":"Towards Identifiable Representations under Misspecified Structure","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2610.03452","title":"Causal Representation Learning with Instantaneous and Lagged Relations via Nonstationarity","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}