Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions

12 July 2021

Papers citing "Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions"

9 / 9 papers shown

Title
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 77 30 0 02 Feb 2022
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks Tolga Ergen Mert Pilanci 32 16 0 18 Oct 2021
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program Yifei Wang Mert Pilanci MLT MDE 55 11 0 13 Oct 2021
Parallel Deep Neural Networks Have Zero Duality Gap Yifei Wang Tolga Ergen Mert Pilanci 79 10 0 13 Oct 2021
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs Tolga Ergen Mert Pilanci OffRL MLT 32 32 0 11 Oct 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 34 26 0 10 Jun 2021
EigenGAN: Layer-Wise Eigen-Learning for GANs Zhenliang He Meina Kan Shiguang Shan GAN 49 50 0 26 Apr 2021
Convex Geometry and Duality of Over-parameterized Neural Networks Tolga Ergen Mert Pilanci MLT 42 54 0 25 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018