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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Type: Journal Paper

Author : Benjamin Scellier; Yoshua Bengio

Year: 2017

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Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Type: Journal Paper

Author : Benjamin Scellier; Yoshua Bengio

Year: 2019

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Classification using discriminative restricted Boltzmann machines

Type: Journal Paper

Author : Hugo Larochelle; Yoshua Bengio

Year: 2008

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Justifying and Generalizing Contrastive Divergence

Type: Journal Paper

Author : Yoshua Bengio; Olivier Delalleau

Year: 2009

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Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

Type: Journal Paper

Author : Yoshua Bengio; Honglak Lee

Year: 2015

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AdaBoosting neural networks: Application to on-line character recognition

Type: Journal Paper

Author : Holger Schwenk; Yoshua Bengio

Year: 1997

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Pattern Recognition and Neural Networks

Type: Ebook

Author : Yann LeCun; Yoshua Bengio

Year: 1995

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Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

Type: Journal Paper

Author : Nicolas Le Roux; Yoshua Bengio

Year: 2008

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Deep Belief Networks Are Compact Universal Approximators

Type: Journal Paper

Author : Nicolas Le Roux; Yoshua Bengio

Year: 2010

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High-dimensional sequence transduction

Type: Journal Paper

Author : Nicolas Boulanger-Lewandowski; Yoshua Bengio; Pascal Vincent

Year: 2013

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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Classification using discriminative restricted Boltzmann machines

Justifying and Generalizing Contrastive Divergence

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

AdaBoosting neural networks: Application to on-line character recognition

Pattern Recognition and Neural Networks

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

Deep Belief Networks Are Compact Universal Approximators

High-dimensional sequence transduction

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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

Classification using discriminative restricted Boltzmann machines

Justifying and Generalizing Contrastive Divergence

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

AdaBoosting neural networks: Application to on-line character recognition

Pattern Recognition and Neural Networks

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

Deep Belief Networks Are Compact Universal Approximators

High-dimensional sequence transduction