STDP-compatible approximation of backpropagation in an energy-based model
We show that Langevin Markov chain Monte Carlo inference in an energy-based model with
latent variables has the property that the early steps of inference, starting from a stationary …
latent variables has the property that the early steps of inference, starting from a stationary …
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model.
Y Bengio, T Mesnard, A Fischer, S Zhang… - Neural Computation, 2017 - europepmc.org
We show that Langevin Markov chain Monte Carlo inference in an energy-based model with
latent variables has the property that the early steps of inference, starting from a stationary …
latent variables has the property that the early steps of inference, starting from a stationary …
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
Y Bengio, T Mesnard, A Fischer, S Zhang, Y Wu - Neural Computation, 2017 - cir.nii.ac.jp
抄録< jats: p> We show that Langevin Markov chain Monte Carlo inference in an energy-
based model with latent variables has the property that the early steps of inference, starting …
based model with latent variables has the property that the early steps of inference, starting …
Stdp-compatible approximation of backpropagation in an energy-based model
Y Bengio, T Mesnard, A Fischer, S Zhang, Y Wu - Neural Computation, 2017 - dl.acm.org
We show that Langevin Markov chain Monte Carlo inference in an energy-based model with
latent variables has the property that the early steps of inference, starting from a stationary …
latent variables has the property that the early steps of inference, starting from a stationary …
[PDF][PDF] STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
Y Bengio, T Mesnard, A Fischer, S Zhang, Y Wu - thomasmesnard.github.io
It has been hypothesized numerous times (Hinton & Sejnowski, 1986; Friston & Stephan,
2007; Berkes, Orban, Lengyel, & Fiser, 2011) that, given a state of sensory information …
2007; Berkes, Orban, Lengyel, & Fiser, 2011) that, given a state of sensory information …
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
Y Bengio, T Mesnard, A Fischer, S Zhang… - Neural Computation, 2017 - direct.mit.edu
Abstract We show that Langevin Markov chain Monte Carlo inference in an energy-based
model with latent variables has the property that the early steps of inference, starting from a …
model with latent variables has the property that the early steps of inference, starting from a …
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
Y Bengio, T Mesnard, A Fischer… - Neural …, 2017 - pubmed.ncbi.nlm.nih.gov
We show that Langevin Markov chain Monte Carlo inference in an energy-based model with
latent variables has the property that the early steps of inference, starting from a stationary …
latent variables has the property that the early steps of inference, starting from a stationary …