From 3af37dc009caeee8e947fbfc0443c156e7d585f2 Mon Sep 17 00:00:00 2001 From: Roman Novak Date: Sun, 19 Jan 2020 16:09:10 -0800 Subject: [PATCH] Add papers to README PiperOrigin-RevId: 290535134 --- README.md | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index a8b81c1f..c6394ea2 100644 --- a/README.md +++ b/README.md @@ -355,16 +355,23 @@ a small dataset using a small learning rate. ## Papers -Neural tangents has been used in the following papers: +Neural Tangents has been used in the following papers: + + +* [Disentangling Trainability and Generalization in Deep Learning](https://arxiv.org/abs/1912.13053) \ +Lechao Xiao, Jeffrey Pennington, Samuel S. Schoenholz + +* [Information in Infinite Ensembles of Infinitely-Wide Neural Networks](https://arxiv.org/abs/1911.09189) \ +Ravid Shwartz-Ziv, Alexander A. Alemi + +* [Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel.](https://arxiv.org/abs/1905.13654) \ +Soufiane Hayou, Arnaud Doucet, Judith Rousseau * [Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent.](https://arxiv.org/abs/1902.06720) \ Jaehoon Lee*, Lechao Xiao*, Samuel S. Schoenholz, Yasaman Bahri, Roman Novak, Jascha Sohl-Dickstein, Jeffrey Pennington -* [Training Dynamics of Deep Networks using Stochastic Gradient Descent via Neural Tangent Kernel.](https://arxiv.org/abs/1905.13654) \ -Soufiane Hayou, Arnaud Doucet, Judith Rousseau - Please let us know if you make use of the code in a publication and we'll add it to the list!