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On the Cryptographic Hardness of Learning Single Periodic Neurons
v1v2 (latest)

On the Cryptographic Hardness of Learning Single Periodic Neurons

20 June 2021
M. Song
Ilias Zadik
Joan Bruna
    AAML
ArXiv (abs)PDFHTML

Papers citing "On the Cryptographic Hardness of Learning Single Periodic Neurons"

7 / 7 papers shown
Title
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions
Elisabetta Cornacchia
Dan Mikulincer
Elchanan Mossel
138
1
0
10 Feb 2025
Learning Single-Index Models with Shallow Neural Networks
Learning Single-Index Models with Shallow Neural Networks
A. Bietti
Joan Bruna
Clayton Sanford
M. Song
225
71
0
27 Oct 2022
Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice
  Problems
Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems
Stefan Tiegel
70
17
0
28 Jul 2022
Continuous LWE is as Hard as LWE & Applications to Learning Gaussian
  Mixtures
Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures
A. Gupte
Neekon Vafa
Vinod Vaikuntanathan
103
39
0
06 Apr 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen
Aravind Gollakota
Adam R. Klivans
Raghu Meka
68
31
0
10 Feb 2022
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik
M. Song
Alexander S. Wein
Joan Bruna
78
39
0
07 Dec 2021
Inference in High-Dimensional Linear Regression via Lattice Basis
  Reduction and Integer Relation Detection
Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection
D. Gamarnik
Eren C. Kizildaug
Ilias Zadik
59
11
0
24 Oct 2019
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