360 citations · 1.1k across the 14 of their papers we have counts for
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A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi +3
The development of quantum-classical hybrid (QCH) algorithms is critical to achieve state-of-the-art computational models. A QCH variational autoencoder (QVAE) was introduced in Re…
PixelVAE++: Improved PixelVAE with Discrete Prior
Hossein Sadeghi, Evgeny Andriyash, Walter Vinci +2
Constructing powerful generative models for natural images is a challenging task. PixelCNN models capture details and local information in images very well but have limited recepti…
Undirected Graphical Models as Approximate Posteriors
Arash Vahdat, Evgeny Andriyash, William G. Macready
The representation of the approximate posterior is a critical aspect of effective variational autoencoders (VAEs). Poor choices for the approximate posterior have a detrimental imp…