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Binary perceptron: efficient algorithms can find solutions in a rare
  well-connected cluster

Binary perceptron: efficient algorithms can find solutions in a rare well-connected cluster

4 November 2021
Emmanuel Abbe
Shuangping Li
Allan Sly
    MQ
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Papers citing "Binary perceptron: efficient algorithms can find solutions in a rare well-connected cluster"

5 / 5 papers shown
Title
High-dimensional manifold of solutions in neural networks: insights from statistical physics
High-dimensional manifold of solutions in neural networks: insights from statistical physics
Enrico M. Malatesta
51
4
0
20 Feb 2025
Fl RDT based ultimate lowering of the negative spherical perceptron
  capacity
Fl RDT based ultimate lowering of the negative spherical perceptron capacity
M. Stojnic
18
4
0
27 Dec 2023
Binary perceptrons capacity via fully lifted random duality theory
Binary perceptrons capacity via fully lifted random duality theory
M. Stojnic
13
5
0
29 Nov 2023
Learning through atypical "phase transitions" in overparameterized
  neural networks
Learning through atypical "phase transitions" in overparameterized neural networks
Carlo Baldassi
Clarissa Lauditi
Enrico M. Malatesta
R. Pacelli
Gabriele Perugini
R. Zecchina
26
26
0
01 Oct 2021
Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric
  Perceptron
Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron
Emmanuel Abbe
Shuangping Li
Allan Sly
41
40
0
25 Feb 2021
1