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Phase transitions in the mini-batch size for sparse and dense two-layer
  neural networks

Phase transitions in the mini-batch size for sparse and dense two-layer neural networks

10 May 2023
Raffaele Marino
F. Ricci-Tersenghi
ArXivPDFHTML

Papers citing "Phase transitions in the mini-batch size for sparse and dense two-layer neural networks"

10 / 10 papers shown
Title
Unsupervised detection of semantic correlations in big data
Unsupervised detection of semantic correlations in big data
Santiago Acevedo
Alex Rodriguez
A. Laio
65
2
0
04 Nov 2024
Role of Delay in Brain Dynamics
Role of Delay in Brain Dynamics
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ido Kanter
AI4CE
19
2
0
15 Oct 2024
Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT
  Problem: Does the LLM Solve the Problem Itself or Call an External SAT
  Solver?
Fast Analysis of the OpenAI O1-Preview Model in Solving Random K-SAT Problem: Does the LLM Solve the Problem Itself or Call an External SAT Solver?
Raffaele Marino
ReLM
LRM
24
2
0
17 Sep 2024
A spring-block theory of feature learning in deep neural networks
A spring-block theory of feature learning in deep neural networks
Chengzhi Shi
Liming Pan
Ivan Dokmanić
AI4CE
28
1
0
28 Jul 2024
A Short Review on Novel Approaches for Maximum Clique Problem: from
  Classical algorithms to Graph Neural Networks and Quantum algorithms
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms
Raffaele Marino
L. Buffoni
Bogdan Zavalnij
GNN
19
5
0
13 Mar 2024
Engineered Ordinary Differential Equations as Classification Algorithm
  (EODECA): thorough characterization and testing
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing
Raffaele Marino
L. Buffoni
Lorenzo Chicchi
Lorenzo Giambagli
Duccio Fanelli
14
1
0
22 Dec 2023
Complex Recurrent Spectral Network
Complex Recurrent Spectral Network
Lorenzo Chicchi
Lorenzo Giambagli
L. Buffoni
Raffaele Marino
Duccio Fanelli
14
6
0
12 Dec 2023
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis
  dynamics in discrete optimization and inference problems
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
Maria Chiara Angelini
A. Cavaliere
Raffaele Marino
F. Ricci-Tersenghi
37
5
0
11 Sep 2023
Parallel Learning by Multitasking Neural Networks
Parallel Learning by Multitasking Neural Networks
E. Agliari
Andrea Alessandrelli
Adriano Barra
F. Ricci-Tersenghi
14
7
0
08 Aug 2023
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
191
1,007
0
26 Mar 2018
1