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Scientific American
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May 20, 2016
Machines Who Learn
Yoshua Bengio
Progress in Brain Research
|
October 11, 2007
On the challenge of learning complex functions
Yoshua Bengio
IEEE Transactions on Neural Networks
|
May 29, 2009
A hybrid pareto mixture for conditional asymmetric fat-tailed distributions
Julie Carreau, Yoshua Bengio
Neural Networks : the Official Journal of the International Neural Network Society
|
January 18, 2015
Editorial introduction to the Neural Networks special issue on Deep Learning of Representations
Yoshua Bengio, Honglak Lee
Frontiers in Computational Neuroscience
|
May 20, 2017
Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
Benjamin Scellier, Yoshua Bengio
Neural Computation
|
December 22, 2018
Equivalence of Equilibrium Propagation and Recurrent Backpropagation
Benjamin Scellier, Yoshua Bengio
Neural Networks : the Official Journal of the International Neural Network Society
|
July 12, 2019
Depth with nonlinearity creates no bad local minima in ResNets
Kenji Kawaguchi, Yoshua Bengio
Science (New York, N.Y.)
|
September 11, 2025
Illusions of AI consciousness
Yoshua Bengio, Eric Elmoznino
Neural Computation
|
November 21, 2008
Justifying and generalizing contrastive divergence
Yoshua Bengio, Olivier Delalleau
Neural Computation
|
February 8, 2008
Representational power of restricted boltzmann machines and deep belief networks
Nicolas Le Roux, Yoshua Bengio
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of 8
Search research articles
Search
Showing results (1-10 of 76) with videos related to
Sort By:
Page
of 8
Scientific American
|
May 20, 2016
Machines Who Learn
Yoshua Bengio
Progress in Brain Research
|
October 11, 2007
On the challenge of learning complex functions
Yoshua Bengio
IEEE Transactions on Neural Networks
|
May 29, 2009
A hybrid pareto mixture for conditional asymmetric fat-tailed distributions
Julie Carreau, Yoshua Bengio
Neural Networks : the Official Journal of the International Neural Network Society
|
January 18, 2015
Editorial introduction to the Neural Networks special issue on Deep Learning of Representations
Yoshua Bengio, Honglak Lee
Frontiers in Computational Neuroscience
|
May 20, 2017
Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
Benjamin Scellier, Yoshua Bengio
Neural Computation
|
December 22, 2018
Equivalence of Equilibrium Propagation and Recurrent Backpropagation
Benjamin Scellier, Yoshua Bengio
Neural Networks : the Official Journal of the International Neural Network Society
|
July 12, 2019
Depth with nonlinearity creates no bad local minima in ResNets
Kenji Kawaguchi, Yoshua Bengio
Science (New York, N.Y.)
|
September 11, 2025
Illusions of AI consciousness
Yoshua Bengio, Eric Elmoznino
Neural Computation
|
November 21, 2008
Justifying and generalizing contrastive divergence
Yoshua Bengio, Olivier Delalleau
Neural Computation
|
February 8, 2008
Representational power of restricted boltzmann machines and deep belief networks
Nicolas Le Roux, Yoshua Bengio
Page
of 8