253 citations · 263 across the 3 of their papers we have counts for
3 papers
cs.LG2016★ 253 cited
Variational Lossy Autoencoder
Xi Chen, Diederik P. Kingma, Tim Salimans +5
Representation learning seeks to expose certain aspects of observed data in a learned representation that's amenable to downstream tasks like classification. For instance, a good r…
stat.AP2014
A Bayesian Particle Filtering Method For Brain Source Localisation
Xi Chen, Simo Särkkä, Simon Godsill
In this paper, we explore the multiple source localisation problem in the cerebral cortex using magnetoencephalography (MEG) data. We model neural currents as point-wise dipolar so…
math.OC2010★ 10 cited
A Smoothing Stochastic Gradient Method for Composite Optimization
Qihang Lin, Xi Chen, Javier Pena
We consider the unconstrained optimization problem whose objective function is composed of a smooth and a non-smooth conponents where the smooth component is the expectation a rand…