{"total":34,"rows":[{"id":"2311.04056","title":"Multi-View Causal Representation Learning with Partial Observability","created":"2023-11-07","cited_by_count":74,"area":null},{"id":"2303.09166","title":"Identifiability Results for Multimodal Contrastive Learning","created":"2023-03-16","cited_by_count":61,"area":null},{"id":"2305.17225","title":"Causal Component Analysis","created":"2023-05-26","cited_by_count":56,"area":null},{"id":"2306.04898","title":"Understanding Masked Autoencoders via Hierarchical Latent Variable Models","created":"2023-06-08","cited_by_count":39,"area":null},{"id":"2310.15709","title":"Causal Representation Learning Made Identifiable by Grouping of Observational Variables","created":"2023-10-24","cited_by_count":32,"area":null},{"id":"2306.07916","title":"Identification of Nonlinear Latent Hierarchical Models","created":"2023-06-13","cited_by_count":27,"area":null},{"id":"2405.13888","title":"Marrying Causal Representation Learning with Dynamical Systems for Science","created":"2024-05-22","cited_by_count":23,"area":null},{"id":"2311.08815","title":"Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations","created":"2023-11-15","cited_by_count":17,"area":null},{"id":"2312.14066","title":"Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering","created":"2023-12-21","cited_by_count":12,"area":null},{"id":"2406.13371","title":"Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment","created":"2024-06-19","cited_by_count":12,"area":null},{"id":"2504.10143","title":"On the Value of Cross-Modal Misalignment in Multimodal Representation Learning","created":"2025-04-14","cited_by_count":10,"area":null},{"id":"2504.13101","title":"Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research","created":"2025-04-17","cited_by_count":9,"area":null},{"id":"2206.06593","title":"On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis","created":"2022-06-14","cited_by_count":7,"area":null},{"id":"2309.07200","title":"Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck","created":"2023-09-13","cited_by_count":6,"area":null},{"id":"2312.13455","title":"Revisiting Deep Generalized Canonical Correlation Analysis","created":"2023-12-20","cited_by_count":6,"area":null},{"id":"2305.08164","title":"Latent Processes Identification From Multi-View Time Series","created":"2023-05-14","cited_by_count":5,"area":null},{"id":"2401.09671","title":"Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach","created":"2024-01-18","cited_by_count":5,"area":null},{"id":"2509.23548","title":"Disentanglement of Variations with Multimodal Generative Modeling","created":"2025-09-28","cited_by_count":4,"area":null},{"id":"2510.17040","title":"Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability","created":"2025-10-19","cited_by_count":4,"area":null},{"id":"2409.19422","title":"Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures","created":"2024-09-28","cited_by_count":3,"area":null},{"id":"2210.07532","title":"Provable Subspace Identification Under Post-Nonlinear Mixtures","created":"2022-10-14","cited_by_count":2,"area":null},{"id":"2411.03755","title":"Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions","created":"2024-11-06","cited_by_count":2,"area":null},{"id":"2605.17827","title":"Content-Style Identification via Differential Independence","created":"2026-05-18","cited_by_count":2,"area":null},{"id":"2209.02876","title":"Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes","created":"2022-09-07","cited_by_count":1,"area":null},{"id":"2408.12091","title":"Unsupervised discovery of the shared and private geometry in multi-view data","created":"2024-08-22","cited_by_count":1,"area":null},{"id":"2510.04758","title":"Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2603.21510","title":"Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2109.12400","title":"Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis","created":"2021-09-25","cited_by_count":0,"area":null},{"id":"2405.19760","title":"Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding","created":"2024-05-30","cited_by_count":0,"area":null},{"id":"2510.24672","title":"Eigenfunction Extraction for Ordered Representation Learning","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2602.23785","title":"Provable Subspace Identification of Nonlinear Multi-view CCA","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2605.07407","title":"Emergent Symbolic Structure in Health Foundation Models: Extraction, Alignment, and Cross-Modal Transfer","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.17918","title":"Domain Transfer Becomes Identifiable via a Single Alignment","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2609.37789","title":"Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}