Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the
JKO Scheme

Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme

30 November 2022

Alexander Vidal

Stanley Osher

Papers citing "Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme"

11 / 11 papers shown

Title
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization Kelvin Kan Xingjian Li Stanley Osher 96 2 0 30 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 44 0 0 03 Jan 2025
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN Andrzej Bedychaj Jacek Tabor Marek Śmieja GAN 47 0 0 31 Dec 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
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
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
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 34 24 0 29 Dec 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 54 0 04 Dec 2021
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting Youngsuk Park Danielle C. Maddix Franccois-Xavier Aubet Kelvin K. Kan Jan Gasthaus Yuyang Wang UQCV AI4TS 94 37 0 12 Nov 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020