380 citations · 1.1k across the 43 of their papers we have counts for
4 papers · 2 filters
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Andres Potapczynski, Gabriel Loaiza-Ganem, John P. Cunningham
The Gumbel-Softmax is a continuous distribution over the simplex that is often used as a relaxation of discrete distributions. Because it can be readily interpreted and easily repa…
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
Gabriel Loaiza-Ganem, John P. Cunningham
Variational autoencoders (VAE) have quickly become a central tool in machine learning, applicable to a broad range of data types and latent variable models. By far the most common…
Approximating exponential family models (not single distributions) with a two-network architecture
Sean R. Bittner, John P. Cunningham
Recently much attention has been paid to deep generative models, since they have been used to great success for variational inference, generation of complex data types, and more. I…
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data
Gabriel Loaiza-Ganem, Sean M. Perkins, Karen E. Schroeder +2
Gaussian processes are the leading class of distributions on random functions, but they suffer from well known issues including difficulty scaling and inflexibility with respect to…