{"total":26,"rows":[{"id":"2306.02235","title":"Learning Linear Causal Representations from Interventions under General Nonlinear Mixing","created":"2023-06-04","cited_by_count":92,"area":null},{"id":"2403.03867","title":"On the Origins of Linear Representations in Large Language Models","created":"2024-03-06","cited_by_count":79,"area":null},{"id":"2206.10044","title":"Identifiability of deep generative models without auxiliary information","created":"2022-06-20","cited_by_count":70,"area":null},{"id":"2311.00866","title":"Generalizing Nonlinear ICA Beyond Structural Sparsity","created":"2023-11-01","cited_by_count":34,"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":"2402.09236","title":"Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models","created":"2024-02-14","cited_by_count":29,"area":null},{"id":"2311.04128","title":"Generative learning for nonlinear dynamics","created":"2023-11-07","cited_by_count":22,"area":null},{"id":"2303.15244","title":"Manifold Learning by Mixture Models of VAEs for Inverse Problems","created":"2023-03-27","cited_by_count":17,"area":null},{"id":"2301.08187","title":"A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs","created":"2023-01-19","cited_by_count":9,"area":null},{"id":"2406.07141","title":"Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention","created":"2024-06-11","cited_by_count":9,"area":null},{"id":"2409.12952","title":"The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations","created":"2024-09-19","cited_by_count":5,"area":null},{"id":"2212.14376","title":"Long-horizon video prediction using a dynamic latent hierarchy","created":"2022-12-29","cited_by_count":4,"area":null},{"id":"2509.23602","title":"Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery","created":"2025-09-28","cited_by_count":4,"area":null},{"id":"2603.23547","title":"PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA","created":"2026-03-20","cited_by_count":4,"area":null},{"id":"2307.05704","title":"A Causal Ordering Prior for Unsupervised Representation Learning","created":"2023-07-11","cited_by_count":3,"area":null},{"id":"2207.11164","title":"Generalized Identifiability Bounds for Mixture Models with Grouped Samples","created":"2022-07-22","cited_by_count":2,"area":null},{"id":"2302.03807","title":"A Prototype-Oriented Clustering for Domain Shift with Source Privacy","created":"2023-02-08","cited_by_count":2,"area":null},{"id":"2410.10180","title":"Gaussian Mixture Vector Quantization with Aggregated Categorical Posterior","created":"2024-10-14","cited_by_count":2,"area":null},{"id":"2310.10559","title":"Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2507.07291","title":"Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2509.02154","title":"Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling","created":"2025-09-02","cited_by_count":1,"area":null},{"id":"2605.15507","title":"PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2206.03555","title":"A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction","created":"2022-06-07","cited_by_count":0,"area":null},{"id":"2405.18655","title":"CAVACHON: a hierarchical variational autoencoder to integrate multi-modal single-cell data","created":"2024-05-28","cited_by_count":0,"area":null},{"id":"2509.20976","title":"An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2608.15757","title":"Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering","created":"2026-08-16","cited_by_count":0,"area":null}],"next_cursor":null}