121 citations · 560 across the 19 of their papers we have counts for
3 papers · 1 filter
Improving latent variable descriptiveness with AutoGen
Alex Mansbridge, Roberto Fierimonte, Ilya Feige +1
Powerful generative models, particularly in Natural Language Modelling, are commonly trained by maximizing a variational lower bound on the data log likelihood. These models often…
Gaussian mixture models with Wasserstein distance
Benoit Gaujac, Ilya Feige, David Barber
Generative models with both discrete and continuous latent variables are highly motivated by the structure of many real-world data sets. They present, however, subtleties in traini…
JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics
Anders Andreassen, Ilya Feige, Christopher Frye +1
In applications of machine learning to particle physics, a persistent challenge is how to go beyond discrimination to learn about the underlying physics. To this end, a powerful to…