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Danilo Jimenez Rezende

Showing results (1-10 of 5) with videos related to

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Frontiers in Computational Neuroscience|April 29, 2014
Stochastic variational learning in recurrent spiking networksDanilo Jimenez Rezende, Wulfram Gerstner
Journal of Neurophysiology|December 16, 2014
Inference of perceptual priors from path dynamics of passive self-motionMario Prsa, Danilo Jimenez-Rezende, Olaf Blanke
The Journal of Chemical Physics|October 22, 2020
Targeted free energy estimation via learned mappingsPeter Wirnsberger, Andrew J Ballard, George Papamakarios, et al.
Physical Review Letters|October 5, 2020
Equivariant Flow-Based Sampling for Lattice Gauge TheoryGurtej Kanwar, Michael S Albergo, Denis Boyda, et al.
Science (New York, N.Y.)|June 16, 2018
Neural scene representation and renderingS M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Computational Neuroscience|April 29, 2014
Stochastic variational learning in recurrent spiking networksDanilo Jimenez Rezende, Wulfram Gerstner
Journal of Neurophysiology|December 16, 2014
Inference of perceptual priors from path dynamics of passive self-motionMario Prsa, Danilo Jimenez-Rezende, Olaf Blanke
The Journal of Chemical Physics|October 22, 2020
Targeted free energy estimation via learned mappingsPeter Wirnsberger, Andrew J Ballard, George Papamakarios, et al.
Physical Review Letters|October 5, 2020
Equivariant Flow-Based Sampling for Lattice Gauge TheoryGurtej Kanwar, Michael S Albergo, Denis Boyda, et al.
Science (New York, N.Y.)|June 16, 2018
Neural scene representation and renderingS M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, et al.
Pageof 1