The Sparse Manifold Transform

23 June 2018

Papers citing "The Sparse Manifold Transform"

9 / 9 papers shown

Title
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems David A. Klindt Sophia Sanborn Francisco Acosta Frédéric Poitevin Nina Miolane MILM FAtt 44 7 0 17 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology Zeyu Yun Juexiao Zhang Bruno A. Olshausen Yann LeCun 31 0 0 06 Oct 2023
A polar prediction model for learning to represent visual transformations P. Fiquet Eero P. Simoncelli 36 4 0 06 Mar 2023
Minimalistic Unsupervised Learning with the Sparse Manifold Transform Yubei Chen Zeyu Yun Y. Ma Bruno A. Olshausen Yann LeCun 52 8 0 30 Sep 2022
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing Ahsan Adeel Mario Franco Mohsin Raza K. Ahmed 23 9 0 15 Jul 2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning Kyle L. Luther H. S. Seung SSL 22 0 0 06 Jun 2022
Two Sparsities Are Better Than One: Unlocking the Performance Benefits of Sparse-Sparse Networks Kevin Lee Hunter Lawrence Spracklen Subutai Ahmad 21 20 0 27 Dec 2021
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations Subutai Ahmad Luiz Scheinkman 25 96 0 27 Mar 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016