{"total":30,"rows":[{"id":"2311.04056","title":"Multi-View Causal Representation Learning with Partial Observability","created":"2023-11-07","cited_by_count":74,"area":null},{"id":"2302.06232","title":"Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data","created":"2023-02-13","cited_by_count":43,"area":null},{"id":"2106.07115","title":"Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective","created":"2021-06-14","cited_by_count":37,"area":null},{"id":"2310.03311","title":"Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses","created":"2023-10-05","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":"2507.09028","title":"From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research","created":"2025-07-11","cited_by_count":6,"area":null},{"id":"2111.09964","title":"Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking -- An Application to COVID-19 severity","created":"2021-11-18","cited_by_count":5,"area":null},{"id":"2302.07930","title":"Interpretable Deep Learning Methods for Multiview Learning","created":"2023-02-15","cited_by_count":5,"area":null},{"id":"2204.09045","title":"SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration","created":"2022-04-17","cited_by_count":3,"area":null},{"id":"2304.04692","title":"Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction","created":"2023-04-10","cited_by_count":2,"area":null},{"id":"2311.15954","title":"A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors","created":"2023-11-27","cited_by_count":2,"area":null},{"id":"2508.13901","title":"Multimodal Data Storage and Retrieval for Embodied AI: A Survey","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2602.19367","title":"Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces","created":"2026-02-22","cited_by_count":2,"area":null},{"id":"2305.19726","title":"Learning Representations without Compositional Assumptions","created":"2023-05-31","cited_by_count":1,"area":null},{"id":"2402.16383","title":"Self Supervised Correlation-based Permutations for Multi-View Clustering","created":"2024-02-26","cited_by_count":1,"area":null},{"id":"2502.18756","title":"Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data","created":"2025-02-26","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":"2512.05169","title":"Advanced Unsupervised Learning: A Comprehensive Overview of Multi-View Clustering Techniques","created":"2025-12-04","cited_by_count":1,"area":null},{"id":"2104.13000","title":"Multi-view Deep One-class Classification: A Systematic Exploration","created":"2021-04-27","cited_by_count":0,"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":"2206.04949","title":"Deep Multi-View Semi-Supervised Clustering with Sample Pairwise Constraints","created":"2022-06-10","cited_by_count":0,"area":null},{"id":"2211.13309","title":"How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?","created":"2022-11-23","cited_by_count":0,"area":null},{"id":"2312.01238","title":"A deep learning pipeline for cross-sectional and longitudinal multiview data integration","created":"2023-12-02","cited_by_count":0,"area":null},{"id":"2409.13887","title":"Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2504.11610","title":"Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2508.04393","title":"Generative Flexible Latent Structure Regression (GFLSR) model","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2512.11901","title":"CLARGA: Multimodal Graph Representation Learning over Arbitrary Sets of Modalities","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2602.07794","title":"Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models","created":"2026-02-08","cited_by_count":0,"area":null},{"id":"2604.00921","title":"Representation Selection via Cross-Model Agreement using Canonical Correlation Analysis","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2605.13312","title":"Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis","created":"2026-05-13","cited_by_count":0,"area":null}],"next_cursor":null}