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Activation function dependence of the storage capacity of treelike
  neural networks
v1v2v3 (latest)

Activation function dependence of the storage capacity of treelike neural networks

21 July 2020
Jacob A. Zavatone-Veth
Cengiz Pehlevan
ArXiv (abs)PDFHTML

Papers citing "Activation function dependence of the storage capacity of treelike neural networks"

11 / 11 papers shown
Title
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
B. Annesi
Enrico M. Malatesta
Francesco Zamponi
131
5
0
09 Oct 2024
Solution space and storage capacity of fully connected two-layer neural
  networks with generic activation functions
Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions
Sota Nishiyama
Masayuki Ohzeki
121
2
0
20 Apr 2024
Exact objectives of random linear programs and mean widths of random
  polyhedrons
Exact objectives of random linear programs and mean widths of random polyhedrons
M. Stojnic
57
0
0
06 Mar 2024
Fixed width treelike neural networks capacity analysis -- generic
  activations
Fixed width treelike neural networks capacity analysis -- generic activations
M. Stojnic
94
3
0
08 Feb 2024
\emph{Lifted} RDT based capacity analysis of the 1-hidden layer treelike
  \emph{sign} perceptrons neural networks
\emph{Lifted} RDT based capacity analysis of the 1-hidden layer treelike \emph{sign} perceptrons neural networks
M. Stojnic
95
1
0
13 Dec 2023
Capacity of the treelike sign perceptrons neural networks with one
  hidden layer -- RDT based upper bounds
Capacity of the treelike sign perceptrons neural networks with one hidden layer -- RDT based upper bounds
M. Stojnic
107
4
0
13 Dec 2023
Long Sequence Hopfield Memory
Long Sequence Hopfield Memory
Hamza Tahir Chaudhry
Jacob A. Zavatone-Veth
Dmitry Krotov
Cengiz Pehlevan
164
20
0
07 Jun 2023
Neural networks learn to magnify areas near decision boundaries
Neural networks learn to magnify areas near decision boundaries
Jacob A. Zavatone-Veth
Sheng Yang
Julian Rubinfien
Cengiz Pehlevan
MLTAI4CE
125
6
0
26 Jan 2023
Contrasting random and learned features in deep Bayesian linear
  regression
Contrasting random and learned features in deep Bayesian linear regression
Jacob A. Zavatone-Veth
William L. Tong
Cengiz Pehlevan
BDLMLT
158
30
0
01 Mar 2022
On neural network kernels and the storage capacity problem
On neural network kernels and the storage capacity problem
Jacob A. Zavatone-Veth
Cengiz Pehlevan
77
7
0
12 Jan 2022
Properties of the geometry of solutions and capacity of multi-layer
  neural networks with Rectified Linear Units activations
Properties of the geometry of solutions and capacity of multi-layer neural networks with Rectified Linear Units activations
Carlo Baldassi
Enrico M. Malatesta
R. Zecchina
MLT
236
48
0
17 Jul 2019
1