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Hopfield networks (HNs) and Restricted Boltzmann Machines (RBMs) are two important models at the interface of statistical physics, machine learning, and neuroscience.
On the Nonorthogonality Problem
Per Olov Löwdin · 1970
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Infinite-ranged models of spin-glasses
Scott Kirkpatrick and David Sherrington · 1978
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Neural networks and physical systems with emergent collective computational abilities
J J Hopfield · 1982
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A learning algorithm for boltzmann machines
David H Ackley, Geoffrey E Hinton, and Terrence J. Sejnowski · 1985
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Spin-glass models of neural networks
Daniel J. Amit, Hanoch Gutfreund, and H. Sompolinsky · 1985
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Collective computational properties of neural networks: New learning mechanisms
L. Personnaz, I. Guyon, and G. Dreyfus · 1986
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Associative recall of memory without errors
I. Kanter and H. Sompolinsky · 1987
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Modeling Brain Function: The World of Attractor Neural Networks
Daniel J. Amit · 1989
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Matrix Algorithms, Volume 1: Basic Decompositions
James R. Schott and G. W. Stewart · 1999
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Annealed importance sampling
Radford M. Neal · 2001
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Training products of experts by minimizing contrastive divergence
Geoffrey E. Hinton · 2002
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On contrastive divergence learning
Miguel A Carreira-Perpinan and Geoffrey E Hinton · 2005
Cited alongside, same era.
Reducing the dimensionality of data with neural networks
G. E. Hinton and R. R. Salakhutdinov · 2006
Cited alongside, same era.
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton, Simon Osindero, and Yee Whye Teh · 2006
Cited alongside, same era.
Restricted boltzmann machines for collaborative filtering
Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey Hinton · 2007
Cited alongside, same era.
Parallel retrieval of correlated patterns: From Hopfield networks to Boltzmann machines
Elena Agliari, Adriano Barra, Andrea De Antoni, and Andrea Galluzzi · 2012
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On the equivalence of Hopfield networks and Boltzmann Machines
Adriano Barra, Alberto Bernacchia, Enrica Santucci, and Pierluigi Contucci · 2012
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A practical guide to training restricted boltzmann machines
Geoffrey E. Hinton · 2012
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Algorithms for hierarchical clustering: An overview
Fionn Murtagh and Pedro Contreras · 2012
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Neural Networks Retrieving Boolean Patterns in a Sea of Gaussian Ones
Elena Agliari, Adriano Barra, Chiara Longo, and Daniele Tantari · 2017
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Gaussian-binary restricted Boltzmann machines for modeling natural image statistics
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About the ergodic regime in the analogical Hopfield neural networks: Moments of the partition function
Adriano Barra and Francesco Guerra · 2008
Cited alongside, same era.
Deep Boltzmann machines
Ruslan Salakhutdinov and Geoffrey Hinton · 2009
Cited alongside, same era.
Scikit-learn: Machine learning in Python
Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, and Édouard Duchesnay · 2011
Cited alongside, same era.
Jan Melchior, Nan Wang, and Laurenz Wiskott · 2017
Later among the works it cites.
Mean-field message-passing equations in the Hopfield model and its generalizations
Marc Mézard · 2017
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A high-bias, low-variance introduction to Machine Learning for physicists, 2019
Pankaj Mehta, Marin Bukov, Ching Hao Wang, Alexandre G.R. Day, Clint Richardson, Charles K Fisher, and David J Schwab · 2019
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Boltzmann machines as generalized hopfield networks: A review of recent results and outlooks
Chiara Marullo and Elena Agliari · 2021
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