Normalizing flow neural networks by JKO scheme

29 December 2022

Yao Xie

Papers citing "Normalizing flow neural networks by JKO scheme"

22 / 22 papers shown

Title
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Sebastian Kaltenbach Petros Koumoutsakos Bjoern H. Menze DiffM 28 1 0 14 Apr 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick "Tree" Miller Robert Lee Paarth Shah Rares Ambrus Haruki Nishimura Masha Itkina OffRL 89 2 0 11 Mar 2025
Adversarial Transform Particle Filters Chengxin Gong Wei Lin Cheng Zhang 54 0 0 10 Feb 2025
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Rafał Karczewski Markus Heinonen Vikas K. Garg DiffM 47 0 0 09 Feb 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity Shuailong Zhu Xiaohui Chen 77 0 0 28 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 44 0 0 03 Jan 2025
Posterior sampling via Langevin dynamics based on generative priors Vishal Purohit Matthew Repasky Jianfeng Lu Qiang Qiu Yao Xie Xiuyuan Cheng DiffM 28 1 0 02 Oct 2024
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 84 2 0 24 Sep 2024
Critically Damped Third-Order Langevin Dynamics Benjamin Sterling Monica Bugallo 33 0 0 12 Sep 2024
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models Gen Li Yuting Wei Yuejie Chi Yuxin Chen DiffM 35 22 0 05 Aug 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 36 1 0 29 Jul 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myungjoo Kang 43 6 0 08 Feb 2024
Transformer Neural Autoregressive Flows Massimiliano Patacchiola Aliaksandra Shysheya Katja Hofmann Richard Turner TPM 12 1 0 03 Jan 2024
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 18 2 0 20 Nov 2023
Flow-based Distributionally Robust Optimization Chen Xu Jonghyeok Lee Xiuyuan Cheng Yao Xie OOD 36 4 0 30 Oct 2023
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space Xiuyuan Cheng Jianfeng Lu Yixin Tan Yao Xie 108 15 0 26 Oct 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 40 4 0 19 May 2023
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 54 0 04 Dec 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 100 0 28 Sep 2019
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,450 0 21 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016