A Geometric View of Optimal Transportation and Generative Model

A Geometric View of Optimal Transportation and Generative Model

16 October 2017

Papers citing "A Geometric View of Optimal Transportation and Generative Model"

16 / 16 papers shown

Title
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation Luwei Sun Dongrui Shen Han Feng 29 2 0 16 Jul 2024
Score Mismatching for Generative Modeling Senmao Ye Fei Liu DiffM 20 8 0 20 Sep 2023
Compressing neural network by tensor network with exponentially fewer variational parameters Yong Qing Ke Li P. Zhou Shi-Ju Ran 14 6 0 10 May 2023
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications Tristan Milne Étienne Bilocq A. Nachman OT 12 3 0 02 Nov 2022
Machine Learning Algebraic Geometry for Physics Jiakang Bao Yang-Hui He Elli Heyes Edward Hirst AI4CE 19 12 0 21 Apr 2022
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 119 65 0 06 Oct 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 18 47 0 03 Jun 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 13 48 0 02 Mar 2021
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection Hao Zhu Chaoyou Fu Qianyi Wu Wayne Wu Chao Qian R. He 31 32 0 05 Nov 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 30 300 0 08 Jan 2020
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 13 27 0 24 Dec 2019
Optimal Transport Based Generative Autoencoders Oliver Zhang Ruei-Sung Lin Yuchuan Gou GAN DRL 13 2 0 16 Oct 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 115 100 0 28 Sep 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 13 17 0 08 Jun 2019
Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets Zhiwu Huang Jiqing Wu Luc Van Gool GAN 34 4 0 05 Dec 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,940 0 24 Oct 2016