8 citations · 9 across the 2 of their papers we have counts for
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quant-ph2019★ 8 cited
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…
cs.CV2019
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…