Andrew Stevens
4 papers · 2016–2017 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (8) πΊοΈ Taxonomy Completionist (16)
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Hot Topic Early Bird
Conferences
AISTATS (2)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(2)
image generation
(2)
image classification
(2)
dictionary learning
(2)
tensor decomposition
(1)
shape recognition
(1)
blind inpainting
(1)
variational autoencoder
(1)
deep generative model
(1)
bayesian deep learning
(1)
convolutional dictionary learning
(1)
bayesian support vector machine
(1)
monte carlo expectation-maximization
(1)
deconvolutional inference
(1)
weight uncertainty
(1)
latent code
(1)
deconvolutional network
(1)
shape classification
(1)
stochastic gradient mcmc
(1)
monte carlo em
(1)
Papers
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
AISTATS 2017
Variational Autoencoder for Deep Learning of Images, Labels and Captions
NIPS 2016
A Deep Generative Deconvolutional Image Model
AISTATS 2016
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
CVPR 2016