Toward Training Recurrent Neural Networks for Lifelong Learning

enthalten in: Neural computation | 2020

von Sodhani, S. | Chandar, S. | Bengio, Y.

Gated Orthogonal Recurrent Units : On Learning to Forget

enthalten in: Neural computation | 2019

von Jing, L. | Gulcehre, C. | Peurifoy, J. | +4

Equivalence of Equilibrium Propagation and Recurrent Backpropagation

enthalten in: Neural computation | 2019

von Scellier, B. | Bengio, Y.

Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes

enthalten in: Neural computation | 2018

von Gulcehre, C. | Chandar, S. | Cho, K. | +1

STDP-Compatible Approximation of Backpropagation in an Energy-Based Model

enthalten in: Neural computation | 2017

von Bengio, Y. | Mesnard, T. | Fischer, A. | +2

Suitability of V1 energy models for object classification

enthalten in: Neural computation | 2011

von Bergstra, J. | Bengio, Y. | Louradour, J.

Tractable multivariate binary density estimation and the restricted Boltzmann forest

enthalten in: Neural computation | 2010

von Larochelle, H. | Bengio, Y. | Turian, J.

Justifying and generalizing contrastive divergence

enthalten in: Neural computation | 2009

von Bengio, Y. | Delalleau, O.

Representational power of restricted boltzmann machines and deep belief networks

enthalten in: Neural computation | 2008

von Le Roux, N. | Bengio, Y.

Nonlocal estimation of manifold structure

enthalten in: Neural computation | 2006

von Bengio, Y. | Monperrus, M. | Larochelle, H.