Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines. - Dmytro Korenkevych; Yanbo Xue; Zhengbing Bian; Fabián A. Chudak; William G. Macready; Jason Rolfe; Evgeny Andriyash (CoRR, 2016)

Global Warming: Temperature Estimation in Annealers. - Jack Raymond; Sheir Yarkoni; Evgeny Andriyash (Frontiers ICT, 2016)

DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. - Arash Vahdat; William G. Macready; Zhengbing Bian; Amir Khoshaman; Evgeny Andriyash (ICML, 2018)

DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. - Arash Vahdat; Evgeny Andriyash; William G. Macready (NeurIPS, 2018)

Quantum Variational Autoencoder. - Amir Khoshaman; Walter Vinci; Brandon Denis; Evgeny Andriyash; Mohammad H. Amin (CoRR, 2018)

Improved Gradient-Based Optimization Over Discrete Distributions. - Evgeny Andriyash; Arash Vahdat; William G. Macready (CoRR, 2018)

Learning Undirected Posteriors by Backpropagation through MCMC Updates. - Arash Vahdat; Evgeny Andriyash; William G. Macready (CoRR, 2019)

PixelVAE++: Improved PixelVAE with Discrete Prior. - Hossein Sadeghi; Evgeny Andriyash; Walter Vinci; Lorenzo Buffoni; Mohammad H. Amin (CoRR, 2019)

A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers. - Walter Vinci; Lorenzo Buffoni; Hossein Sadeghi; Amir Khoshaman; Evgeny Andriyash; Mohammad H. Amin (CoRR, 2019)

Undirected Graphical Models as Approximate Posteriors. - Arash Vahdat; Evgeny Andriyash; William G. Macready (ICML, 2020)

A path towards quantum advantage in training deep generative models with quantum annealers. - Walter Winci; Lorenzo Buffoni; Hossein Sadeghi; Amir Khoshaman; Evgeny Andriyash; Mohammad H. Amin (Mach. Learn. Sci. Technol., 2020)