{"total":28,"rows":[{"id":"2604.09784","title":"Discrete Flow Maps","created":"2026-04-10","cited_by_count":29,"area":null},{"id":"2411.18463","title":"Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension","created":"2024-11-26","cited_by_count":9,"area":null},{"id":"2602.07744","title":"Riemannian MeanFlow","created":"2026-02-08","cited_by_count":8,"area":null},{"id":"2605.10727","title":"Kernel-Gradient Drifting Models","created":"2026-05-11","cited_by_count":7,"area":null},{"id":"2605.21280","title":"Let EEG Models Learn EEG","created":"2026-05-20","cited_by_count":7,"area":null},{"id":"2606.08417","title":"Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics","created":"2026-06-07","cited_by_count":7,"area":null},{"id":"2406.04527","title":"Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data","created":"2024-06-06","cited_by_count":6,"area":null},{"id":"2605.05629","title":"Spherical Flows for Sampling Categorical Data","created":"2026-05-07","cited_by_count":6,"area":null},{"id":"2510.00352","title":"AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance","created":"2025-09-30","cited_by_count":5,"area":null},{"id":"2505.18150","title":"Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2503.10232","title":"Flows on convex polytopes","created":"2025-03-13","cited_by_count":3,"area":null},{"id":"2508.17345","title":"ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation","created":"2025-08-24","cited_by_count":3,"area":null},{"id":"2601.16955","title":"3D Molecule Generation from Rigid Motifs via SE(3) Flows","created":"2026-01-23","cited_by_count":3,"area":null},{"id":"2510.09685","title":"Deep Neural Networks Inspired by Differential Equations","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2603.04736","title":"Distribution-Conditioned Transport","created":"2026-03-05","cited_by_count":2,"area":null},{"id":"2605.07193","title":"Coupling Models for One-Step Discrete Generation","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2604.04427","title":"FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2607.21585","title":"Expanding Flow Maps","created":"2026-07-23","cited_by_count":1,"area":null},{"id":"2608.03967","title":"Information-Geometric Forward Policy Training in GFlowNets","created":"2026-08-04","cited_by_count":1,"area":null},{"id":"2412.11439","title":"Sampling Out-of-Distribution Chemical Spaces via Bayesian Flow","created":"2024-12-16","cited_by_count":0,"area":null},{"id":"2601.03184","title":"Decentralized Autoregressive Generation","created":"2026-01-06","cited_by_count":0,"area":null},{"id":"2601.22466","title":"EvoEGF-Mol: Evolving Exponential Geodesic Flow for Structure-based Drug Design","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2603.09793","title":"Information Theoretic Bayesian Optimization over the Probability Simplex","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2606.10543","title":"Flexible Flows for Biological Sequence Design","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2610.01315","title":"EP-Flow: Disordered Crystal Structure Prediction without Site-Level Annotations","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.04454","title":"One-Step Generation via Riemannian Wasserstein Gradient Flows","created":"2026-10-03","cited_by_count":0,"area":null},{"id":"2610.05071","title":"Discrete Action Matching: Learning Stochastic Dynamics from Samples via State Graphs","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.13225","title":"ReSFlow: Rectifying Categorical Flows on Statistical Manifolds for One-Step Generation","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}