Search Results for author: Stephane Deny

Found 4 papers, 1 papers with code

Addressing the Topological Defects of Disentanglement

no code implementations1 Jan 2021 Diane Bouchacourt, Mark Ibrahim, Stephane Deny

A core challenge in Machine Learning is to disentangle natural factors of variation in data (e. g. object shape vs pose).

Disentanglement

The emergence of multiple retinal cell types through efficient coding of natural movies

no code implementations NeurIPS 2018 Samuel Ocko, Jack Lindsey, Surya Ganguli, Stephane Deny

Also, we train a nonlinear encoding model with a rectifying nonlinearity to efficiently encode naturalistic movies, and again find emergent receptive fields resembling those of midget and parasol cells that are now further subdivided into ON and OFF types.

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