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12/04/2019
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
The development of quantum-classical hybrid (QCH) algorithms is critical...
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08/26/2019
PixelVAE++: Improved PixelVAE with Discrete Prior
Constructing powerful generative models for natural images is a challeng...
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01/11/2019
Learning Undirected Posteriors by Backpropagation through MCMC Updates
The representation of the posterior is a critical aspect of effective va...
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09/29/2018
Improved Gradient-Based Optimization Over Discrete Distributions
In many applications we seek to maximize an expectation with respect to ...
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05/18/2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Boltzmann machines are powerful distributions that have been shown to be...
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02/15/2018
Quantum Variational Autoencoder
Variational autoencoders (VAEs) are powerful generative models with the ...
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11/14/2016