165 citations · 913 across the 13 of their papers we have counts for
4 papers · 1 filter
Measuring the Effects of Data Parallelism on Neural Network Training
Christopher J. Shallue, Jaehoon Lee, Joseph Antognini +3
Recent hardware developments have dramatically increased the scale of data parallelism available for neural network training. Among the simplest ways to harness next-generation har…
Velocity-resolved reverberation mapping of five bright Seyfert 1 galaxies
G. De Rosa, M. M. Fausnaugh, C. J. Grier +99
We present the first results from a reverberation-mapping campaign undertaken during the first half of 2012, with additional data on one AGN (NGC 3227) from a 2014 campaign. Our ma…
PCA of high dimensional random walks with comparison to neural network training
Joseph M. Antognini, Jascha Sohl-Dickstein
One technique to visualize the training of neural networks is to perform PCA on the parameters over the course of training and to project to the subspace spanned by the first few P…
Synthesizing Diverse, High-Quality Audio Textures
Joseph Antognini, Matt Hoffman, Ron J. Weiss
Texture synthesis techniques based on matching the Gram matrix of feature activations in neural networks have achieved spectacular success in the image domain. In this paper we ext…