Quantum Inspired Training for Boltzmann Machines

An introduction to variational methods for graphical models

Michael I Jordan, Zoubin Ghahramani, Tommi S Jaakkola, and Lawrence K Saul · 1999

Earlier work this paper cites.

Training products of experts by minimizing contrastive divergence

Geoffrey Hinton · 2002

Earlier work this paper cites.

A new learning algorithm for mean field boltzmann machines

Max Welling and Geoffrey E Hinton · 2002

Earlier work this paper cites.

Fractional belief propagation

Wim Wiegerinck, Tom Heskes, et al · 2003

Earlier work this paper cites.

Tree-reweighted belief propagation algorithms and approximate ml estimation by pseudo-moment matching

Martin J Wainwright, Tommi S Jaakkola, and Alan S Willsky · 2003

Earlier work this paper cites.

Bayesian learning in undirected graphical models: approximate mcmc algorithms

Iain Murray and Zoubin Ghahramani · 2004

Cited alongside, same era.

Divergence measures and message passing

Tom Minka · 2005

Cited alongside, same era.

Learning deep architectures for ai

Yoshua Bengio · 2009

Cited alongside, same era.

Using fast weights to improve persistent contrastive divergence

Tijmen Tieleman and Geoffrey Hinton · 2009

Cited alongside, same era.

Sampling from the thermal quantum gibbs state and evaluating partition functions with a quantum computer

David Poulin and Pawel Wocjan · 2009

Cited alongside, same era.

On the convergence properties of contrastive divergence

Ilya Sutskever and Tijmen Tieleman · 2010

Later among the works it cites.

Learning a better representation of speech soundwaves using restricted boltzmann machines

Navdeep Jaitly and Geoffrey Hinton · 2011

Later among the works it cites.

Quantum rejection sampling

Maris Ozols, Martin Roetteler, and Jérémie Roland · 2013

Later among the works it cites.

Quantum deep learning

Original

Nathan Wiebe, Ashish Kapoor, and Krysta M Svore · 2014

Later among the works it cites.

The shape boltzmann machine: a strong model of object shape

SM Ali Eslami, Nicolas Heess, Christopher KI Williams, and John Winn · 2014

Later among the works it cites.