Distribution learning via neural differential equations: a nonparametric
statistical perspective

Distribution learning via neural differential equations: a nonparametric statistical perspective

3 September 2023

Youssef Marzouk

Papers citing "Distribution learning via neural differential equations: a nonparametric statistical perspective"

14 / 14 papers shown

Title
On the minimax optimality of Flow Matching through the connection to kernel density estimation Lea Kunkel Mathias Trabs 29 0 0 17 Apr 2025
A friendly introduction to triangular transport M. Ramgraber Daniel Sharp M. Le Provost Youssef Marzouk 58 0 0 27 Mar 2025
Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration Emily C. Ehrhardt Hanno Gottschalk Tobias Riedlinger 39 0 0 13 Mar 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 39 0 0 03 Jan 2025
Kernel Approximation of Fisher-Rao Gradient Flows Jia Jie Zhu Alexander Mielke 44 5 0 27 Oct 2024
Diffeomorphic Measure Matching with Kernels for Generative Modeling Biraj Pandey Bamdad Hosseini Pau Batlle H. Owhadi 15 3 0 12 Feb 2024
Density estimation using the perceptron P. R. Gerber Tianze Jiang Yury Polyanskiy Rui Sun 19 0 0 29 Dec 2023
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 16 2 0 20 Nov 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 96 15 0 26 Oct 2023
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden DiffM 244 261 0 15 Mar 2023
Diffusion Models are Minimax Optimal Distribution Estimators Kazusato Oko Shunta Akiyama Taiji Suzuki DiffM 61 84 0 03 Mar 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,296 0 02 Sep 2022
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 112 95 0 10 Dec 2020
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M. Giordano Richard Nickl 26 57 0 16 Oct 2019