Gauthier Gidel

A single gradient step finds adversarial examples on random two-layers neural networks

A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.

Online Adversarial Attacks.

Linear Lower Bounds and Conditioning of Differentiable Games

Adversarial Example Games.

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks

Adversarial Example Games

A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.

Accelerating Smooth Games by Manipulating Spectral Shapes.

Lower Bounds and Conditioning of Differentiable Games.

A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games

A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.

Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates

Negative Momentum for Improved Game Dynamics

Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks

Reducing Noise in GAN Training with Variance Reduced Extragradient

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

Negative Momentum for Improved Game Dynamics

Frank-Wolfe Splitting via Augmented Lagrangian Method

A Variational Inequality Perspective on Generative Adversarial Networks

Parametric Adversarial Divergences are Good Task Losses for Generative Modeling