Wasserstein Proximal of GANs

13 February 2021

A. Lin

Wuchen Li

Stanley Osher

Guido Montúfar

GAN

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Papers citing "Wasserstein Proximal of GANs"

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Title
Wasserstein proximal operators describe score-based generative models and resolve memorization Benjamin J. Zhang Siting Liu Wuchen Li M. Katsoulakis Stanley J. Osher DiffM 32 8 0 09 Feb 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myungjoo Kang 41 6 0 08 Feb 2024
Adaptive Annealed Importance Sampling with Constant Rate Progress Shirin Goshtasbpour Victor Cohen F. Pérez-Cruz 19 7 0 27 Jun 2023
Neural FIM for learning Fisher Information Metrics from point cloud data O. Fasina Guilluame Huguet Alexander Tong Yanlei Zhang Guy Wolf Maximilian Nickel Ian M. Adelstein Smita Krishnaswamy 30 3 0 01 Jun 2023
Achieving High Accuracy with PINNs via Energy Natural Gradients Johannes Müller Marius Zeinhofer 13 4 0 25 Feb 2023
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels Fabian Altekrüger J. Hertrich Gabriele Steidl 27 13 0 27 Jan 2023
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong Xi Wang Yong Lin Tong Zhang 24 19 0 25 Nov 2022
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning Keaton Hamm Nick Henscheid Shujie Kang 16 16 0 13 Apr 2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games Chao Ma Lexing Ying MLT 27 11 0 15 Feb 2022
Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems L. Nurbekyan Wanzhou Lei Yunbo Yang 15 12 0 13 Feb 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 54 0 04 Dec 2021
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 29 21 0 21 Oct 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 40 52 0 01 Jun 2021
Learning High Dimensional Wasserstein Geodesics Shu Liu Shaojun Ma Yongxin Chen H. Zha Haomin Zhou 17 8 0 05 Feb 2021
Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games A. Lin Samy Wu Fung Wuchen Li L. Nurbekyan Stanley J. Osher 16 71 0 24 Feb 2020
Wasserstein information matrix Wuchen Li Jiaxi Zhao 16 27 0 24 Oct 2019
Wasserstein Diffusion Tikhonov Regularization A. Lin Yonatan Dukler Wuchen Li Guido Montúfar 13 2 0 15 Sep 2019
Accelerated Information Gradient flow Yifei Wang Wuchen Li 17 55 0 04 Sep 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 24 42 0 19 Feb 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning Casey Chu Jose H. Blanchet Peter Glynn GAN 11 26 0 30 Jan 2019