{"total":21,"rows":[{"id":"2411.00113","title":"A Geometric Framework for Understanding Memorization in Generative Models","created":"2024-10-31","cited_by_count":40,"area":null},{"id":"2501.10928","title":"Generative Physical AI in Vision: A Survey","created":"2025-01-19","cited_by_count":24,"area":null},{"id":"2408.16046","title":"Scaling Up Diffusion and Flow-based XGBoost Models","created":"2024-08-28","cited_by_count":5,"area":null},{"id":"2510.12311","title":"Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics","created":"2025-10-14","cited_by_count":5,"area":null},{"id":"2506.01599","title":"Connecting Neural Models Latent Geometries with Relative Geodesic Representations","created":"2025-06-02","cited_by_count":4,"area":null},{"id":"2510.21033","title":"Iso-Riemannian Optimization on Learned Data Manifolds","created":"2025-10-23","cited_by_count":4,"area":null},{"id":"2505.24665","title":"Learning Geometry and Topology via Multi-Chart Flows","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2503.09679","title":"DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2406.17125","title":"A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2509.08515","title":"Variational Rank Reduction Autoencoders for Generative Thermal Design","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2603.02452","title":"Manifold Aware Denoising Score Matching (MAD)","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2604.06701","title":"Bi-Lipschitz Autoencoder With Injectivity Guarantee","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2409.05459","title":"Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation","created":"2024-09-09","cited_by_count":0,"area":null},{"id":"2502.01920","title":"Anomaly Detection via Autoencoder Composite Features and NCE","created":"2025-02-04","cited_by_count":0,"area":null},{"id":"2510.01988","title":"PepCompass: Navigating peptide embedding spaces using Riemannian Geometry","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2511.19499","title":"Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection","created":"2025-11-23","cited_by_count":0,"area":null},{"id":"2601.17047","title":"A Contrastive Pre-trained Foundation Model for Deciphering Imaging Noisomics across Modalities","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2605.21692","title":"Representation Gap: Explaining the Unreasonable Effectiveness of Neural Networks from a Geometric Perspective","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2606.15442","title":"The Reverse Telescoping Coordinate System for Positive Definite Matrices: Geometry, Computation, and Generative Modeling","created":"2026-06-13","cited_by_count":0,"area":null},{"id":"2606.15760","title":"The Data Manifold under the Microscope","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2609.34070","title":"FLARE: Flow Matching with Local Axis-Angle Representations for Stochastic Micromagnetic Evolution","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}