On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow

4 November 2020

Papers citing "On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow"

20 / 20 papers shown

Title
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data Jose Cribeiro-Ramallo Federico Matteucci Paul Enciu Alexander Jenke Vadim Arzamasov Thorsten Strufe Klemens Böhm 21 0 0 10 Apr 2025
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 18 2 0 20 Nov 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 15 0 0 04 Jul 2023
Non-parametric online market regime detection and regime clustering for multidimensional and path-dependent data structures Zacharia Issa Blanka Horvath 29 4 0 27 Jun 2023
A Theory of Unsupervised Speech Recognition Liming Wang M. Hasegawa-Johnson Chang-Dong Yoo SSL 23 2 0 09 Jun 2023
GANs Settle Scores! Siddarth Asokan Nishanth Shetty Aadithya Srikanth C. Seelamantula 32 0 0 02 Jun 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 24 4 0 01 Jun 2023
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks Evan Becker Parthe Pandit S. Rangan A. Fletcher GAN 19 1 0 14 May 2023
Generative Modeling with Flow-Guided Density Ratio Learning Alvin Heng Abdul Fatir Ansari Harold Soh 6 1 0 07 Mar 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Bo-wen Li Ding Zhao OOD 32 2 0 04 Feb 2023
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows Mingxuan Yi Zhanxing Zhu Song Liu GAN 22 13 0 02 Feb 2023
Dynamic Flows on Curved Space Generated by Labeled Data Xinru Hua Truyen V. Nguyen Tam Le Jose H. Blanchet Viet Anh Nguyen 33 9 0 31 Jan 2023
Effective Dynamics of Generative Adversarial Networks S. Durr Youssef Mroueh Yuhai Tu Shenshen Wang GAN 25 3 0 08 Dec 2022
Proximal Mean Field Learning in Shallow Neural Networks Alexis M. H. Teter Iman Nodozi A. Halder FedML 35 1 0 25 Oct 2022
Instability and Local Minima in GAN Training with Kernel Discriminators Evan Becker Parthe Pandit S. Rangan A. Fletcher GAN 27 8 0 21 Aug 2022
GANs as Gradient Flows that Converge Yu‐Jui Huang Yuchong Zhang 11 2 0 05 May 2022
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 26 12 0 26 Nov 2021
On the Optimization Landscape of Maximum Mean Discrepancy A. Itai Amir Globerson A. Wiesel 14 1 0 26 Oct 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 29 26 0 10 Jun 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