{"total":33,"rows":[{"id":"2402.07747","title":"Optimal score estimation via empirical Bayes smoothing","created":"2024-02-12","cited_by_count":61,"area":null},{"id":"2310.17582","title":"Convergence of flow-based generative models via proximal gradient descent in Wasserstein space","created":"2023-10-26","cited_by_count":34,"area":null},{"id":"2312.05579","title":"Conditional Stochastic Interpolation for Generative Learning","created":"2023-12-09","cited_by_count":9,"area":null},{"id":"2608.13520","title":"The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity","created":"2026-08-13","cited_by_count":9,"area":null},{"id":"2310.03546","title":"Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models","created":"2023-10-05","cited_by_count":8,"area":null},{"id":"2410.16710","title":"Influential Language Data Selection via Gradient Trajectory Pursuit","created":"2024-10-22","cited_by_count":7,"area":null},{"id":"2512.06797","title":"Optimal and Diffusion Transports in Machine Learning","created":"2025-12-07","cited_by_count":6,"area":null},{"id":"2512.10857","title":"Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants","created":"2025-12-11","cited_by_count":6,"area":null},{"id":"2502.06200","title":"On the query complexity of sampling from non-log-concave distributions","created":"2025-02-10","cited_by_count":5,"area":null},{"id":"2501.00565","title":"Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion","created":"2024-12-31","cited_by_count":4,"area":null},{"id":"2502.09130","title":"Finite-Time Analysis of Discrete-Time Stochastic Interpolants","created":"2025-02-13","cited_by_count":4,"area":null},{"id":"2512.06702","title":"Pathway to $O(\\sqrt{d})$ Complexity bound under Wasserstein metric of flow-based models","created":"2025-12-07","cited_by_count":4,"area":null},{"id":"2512.24152","title":"Fast Score-Based Sampling via Log-Concave Reductions","created":"2025-12-30","cited_by_count":4,"area":null},{"id":"2601.21951","title":"Diffusion Path Samplers via Sequential Monte Carlo","created":"2026-01-29","cited_by_count":4,"area":null},{"id":"2404.03272","title":"Cryptographic Hardness of Score Estimation","created":"2024-04-04","cited_by_count":3,"area":null},{"id":"2508.14351","title":"A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations","created":"2025-08-20","cited_by_count":3,"area":null},{"id":"2512.23643","title":"Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks","created":"2025-12-29","cited_by_count":3,"area":null},{"id":"2505.13410","title":"Joint stochastic localization and applications","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2510.04460","title":"Perspectives on Stochastic Localization","created":"2025-10-06","cited_by_count":2,"area":null},{"id":"2412.07972","title":"Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Models","created":"2024-12-10","cited_by_count":1,"area":null},{"id":"2508.07333","title":"Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants","created":"2025-08-10","cited_by_count":1,"area":null},{"id":"2508.15069","title":"Sampling by averaging: A multiscale approach to score estimation","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2510.00367","title":"CINDES: Classification induced neural density estimator and simulator","created":"2025-10-01","cited_by_count":1,"area":null},{"id":"2607.02915","title":"BFMT: Enhancing Search Capabilities of Tree Sampler via Bootstrap Flow-Map Tree","created":"2026-07-03","cited_by_count":1,"area":null},{"id":"2502.08628","title":"Concentration Inequalities for Stochastic Optimization of Unbounded Objective Functions with Application to Denoising Score Matching","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2507.11236","title":"Improved sampling algorithms and functional inequalities for non-log-concave distributions","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2602.03999","title":"Functional Stochastic Localization","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2603.18817","title":"Seasoning Generative Models for a Generalization Aftertaste","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2605.06172","title":"Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2607.26955","title":"Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2609.28338","title":"Local Geometric Mixing via Dobrushin Contraction with Applications to Diffusion Path Monte Carlo and the Proximal Sampler","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.15078","title":"On the Theoretical Limits of Learning Unconstrained Interatomic Potentials","created":"2026-10-10","cited_by_count":0,"area":null},{"id":"2610.17159","title":"A Generalized McDiarmid Inequality: Sample Reuse and Non-Uniform Unbounded Differences","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}