Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Gated networks: an inventory

Olivier Sigaud 1, 2 Clément Masson 3, 4 David Filliat 3, 4 Freek Stulp 3, 4
ISIR - Institut des Systèmes Intelligents et de Robotique
4 Flowers - Flowing Epigenetic Robots and Systems
Inria Bordeaux - Sud-Ouest, U2IS - Unité d'Informatique et d'Ingénierie des Systèmes
Abstract : Gated networks are networks that contain gating connections, in which the outputs of at least two neurons are multiplied. Initially, gated networks were used to learn relationships between two input sources, such as pixels from two images. More recently, they have been applied to learning activity recognition or multi-modal representations. The aims of this paper are threefold: 1) to explain the basic computations in gated networks to the non-expert, while adopting a standpoint that insists on their symmetric nature. 2) to serve as a quick reference guide to the recent literature, by providing an inventory of applications of these networks, as well as recent extensions to the basic architecture. 3) to suggest future research directions and applications.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [44 references]  Display  Hide  Download
Contributor : David Filliat <>
Submitted on : Friday, May 13, 2016 - 9:35:55 AM
Last modification on : Thursday, January 28, 2021 - 3:02:13 AM
Long-term archiving on: : Tuesday, August 16, 2016 - 9:19:33 AM


Files produced by the author(s)


  • HAL Id : hal-01313601, version 1
  • ARXIV : 1512.03201


Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp. Gated networks: an inventory. 2016. ⟨hal-01313601⟩



Record views


Files downloads