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Evgeny Andriyash
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2020 – today
- 2020
- [j2]Walter Winci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin:
A path towards quantum advantage in training deep generative models with quantum annealers. Mach. Learn. Sci. Technol. 1(4): 45028 (2020) - [c3]Arash Vahdat, Evgeny Andriyash, William G. Macready:
Undirected Graphical Models as Approximate Posteriors. ICML 2020: 9680-9689
2010 – 2019
- 2019
- [i7]Arash Vahdat, Evgeny Andriyash, William G. Macready:
Learning Undirected Posteriors by Backpropagation through MCMC Updates. CoRR abs/1901.03440 (2019) - [i6]Hossein Sadeghi, Evgeny Andriyash, Walter Vinci, Lorenzo Buffoni, Mohammad H. Amin:
PixelVAE++: Improved PixelVAE with Discrete Prior. CoRR abs/1908.09948 (2019) - [i5]Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir Khoshaman, Evgeny Andriyash, Mohammad H. Amin:
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers. CoRR abs/1912.02119 (2019) - 2018
- [c2]Arash Vahdat, William G. Macready, Zhengbing Bian, Amir Khoshaman, Evgeny Andriyash:
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations. ICML 2018: 5042-5051 - [c1]Arash Vahdat, Evgeny Andriyash, William G. Macready:
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. NeurIPS 2018: 1869-1878 - [i4]Amir Khoshaman, Walter Vinci, Brandon Denis, Evgeny Andriyash, Mohammad H. Amin:
Quantum Variational Autoencoder. CoRR abs/1802.05779 (2018) - [i3]Arash Vahdat, Evgeny Andriyash, William G. Macready:
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors. CoRR abs/1805.07445 (2018) - [i2]Evgeny Andriyash, Arash Vahdat, William G. Macready:
Improved Gradient-Based Optimization Over Discrete Distributions. CoRR abs/1810.00116 (2018) - 2016
- [j1]Jack Raymond, Sheir Yarkoni, Evgeny Andriyash:
Global Warming: Temperature Estimation in Annealers. Frontiers ICT 3: 23 (2016) - [i1]Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian, Fabián A. Chudak, William G. Macready, Jason Rolfe, Evgeny Andriyash:
Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines. CoRR abs/1611.04528 (2016)
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