{"total":15,"rows":[{"id":"2212.14424","title":"Normalizing flow neural networks by JKO scheme","created":"2022-12-29","cited_by_count":39,"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":"2304.13534","title":"A mean-field games laboratory for generative modeling","created":"2023-04-26","cited_by_count":28,"area":null},{"id":"2305.11857","title":"Computing high-dimensional optimal transport by flow neural networks","created":"2023-05-19","cited_by_count":8,"area":null},{"id":"2505.13499","title":"Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency","created":"2025-05-16","cited_by_count":8,"area":null},{"id":"2409.16471","title":"Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems","created":"2024-09-24","cited_by_count":7,"area":null},{"id":"2501.18793","title":"OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization","created":"2025-01-30","cited_by_count":7,"area":null},{"id":"2401.15482","title":"Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations","created":"2024-01-27","cited_by_count":3,"area":null},{"id":"2409.00644","title":"Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach","created":"2024-09-01","cited_by_count":3,"area":null},{"id":"2501.17450","title":"A Constraint-Preserving Neural Network Approach for Solving Mean-Field Games Equilibrium","created":"2025-01-29","cited_by_count":1,"area":null},{"id":"2308.13815","title":"Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport","created":"2023-08-26","cited_by_count":0,"area":null},{"id":"2504.03209","title":"PIONM: A Generalized Approach to Solving Density-Constrained Mean-Field Games Equilibrium under Modified Boundary Conditions","created":"2025-04-04","cited_by_count":0,"area":null},{"id":"2601.07013","title":"Conditional Normalizing Flows for Forward and Backward Joint State and Parameter Estimation","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2604.17954","title":"Complex normalizing flows can almost be information K\\\"ahler-Ricci flows","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2608.18282","title":"Self-supervised In-context Operator Learning for Stochastic Mean-Field Control","created":"2026-08-18","cited_by_count":0,"area":null}],"next_cursor":null}