Evgeny Andriyash

According to our database, Evgeny Andriyash authored at least 11 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Undirected Graphical Models as Approximate Posteriors.

Arash Vahdat, Evgeny Andriyash, William G. Macready

Proceedings of the 37th International Conference on Machine Learning, 2020

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

PixelVAE++: Improved PixelVAE with Discrete Prior.

Hossein Sadeghi, Evgeny Andriyash, Walter Vinci, Lorenzo Buffoni, Mohammad H. Amin

CoRR, 2019

Learning Undirected Posteriors by Backpropagation through MCMC Updates.

Arash Vahdat, Evgeny Andriyash, William G. Macready

CoRR, 2019

2018

Improved Gradient-Based Optimization Over Discrete Distributions.

Evgeny Andriyash, Arash Vahdat, William G. Macready

CoRR, 2018

Quantum Variational Autoencoder.

Amir Khoshaman, Walter Vinci, Brandon Denis, Evgeny Andriyash, Mohammad H. Amin

CoRR, 2018

DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors.

Arash Vahdat, Evgeny Andriyash, William G. Macready

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DVAE++: Discrete Variational Autoencoders with Overlapping Transformations.

Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman, Evgeny Andriyash

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Global Warming: Temperature Estimation in Annealers.

Jack Raymond, Sheir Yarkoni, Evgeny Andriyash

Frontiers ICT, 2016

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