A Geometric View of Optimal Transportation and Generative Model

16 October 2017

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

21 / 21 papers shown

Title
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation Luwei Sun Dongrui Shen Han Feng 43 2 0 16 Jul 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 39 4 0 20 Jan 2024
Score Mismatching for Generative Modeling Senmao Ye Fei Liu DiffM 28 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 22 6 0 10 May 2023
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives Na Lei Zezeng Li Zebin Xu Ying Li X. Gu AI4CE 19 20 0 11 Nov 2022
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications Tristan Milne Étienne Bilocq A. Nachman OT 29 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 122 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 34 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 16 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 Ran He 41 32 0 05 Nov 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 29 27 0 24 Dec 2019
Optimal Transport Based Generative Autoencoders Oliver Zhang Ruei-Sung Lin Yuchuan Gou GAN DRL 24 2 0 16 Oct 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 131 101 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 16 17 0 08 Jun 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 43 0 19 Feb 2019
Particle Flow Bayes' Rule Xinshi Chen H. Dai Le Song 14 9 0 02 Feb 2019
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 35 120 0 21 Jun 2018
Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets Zhiwu Huang Jiqing Wu Luc Van Gool GAN 50 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 189 1,942 0 24 Oct 2016