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For Manifold Learning, Deep Neural Networks can be Locality Sensitive
  Hash Functions

For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions

11 March 2021
Nishanth Dikkala
Gal Kaplun
Rina Panigrahy
ArXivPDFHTML

Papers citing "For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions"

2 / 2 papers shown
Title
Fitting an immersed submanifold to data via Sussmann's orbit theorem
Fitting an immersed submanifold to data via Sussmann's orbit theorem
Joshua Hanson
Maxim Raginsky
20
4
0
03 Apr 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global
  Optimality with Unconstrained Features
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jinxin Zhou
Xiao Li
Tian Ding
Chong You
Qing Qu
Zhihui Zhu
35
101
0
02 Mar 2022
1