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2110.00683
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Learning through atypical "phase transitions" in overparameterized neural networks
1 October 2021
Carlo Baldassi
Clarissa Lauditi
Enrico M. Malatesta
R. Pacelli
Gabriele Perugini
R. Zecchina
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Papers citing
"Learning through atypical "phase transitions" in overparameterized neural networks"
16 / 16 papers shown
Title
High-dimensional manifold of solutions in neural networks: insights from statistical physics
Enrico M. Malatesta
114
4
0
20 Feb 2025
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks
B. Annesi
Enrico M. Malatesta
Francesco Zamponi
92
3
0
09 Oct 2024
ClassiFIM: An Unsupervised Method To Detect Phase Transitions
Victor Kasatkin
E. Mozgunov
Nicholas Ezzell
Utkarsh Mishra
Itay Hen
Daniel Lidar
80
3
0
06 Aug 2024
Random Features Hopfield Networks generalize retrieval to previously unseen examples
Silvio Kalaj
Clarissa Lauditi
Gabriele Perugini
Carlo Lucibello
Enrico M. Malatesta
Matteo Negri
AAML
76
9
0
08 Jul 2024
The twin peaks of learning neural networks
Elizaveta Demyanenko
Christoph Feinauer
Enrico M. Malatesta
Luca Saglietti
62
0
0
23 Jan 2024
Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing
Raffaele Marino
L. Buffoni
Lorenzo Chicchi
Lorenzo Giambagli
Duccio Fanelli
98
1
0
22 Dec 2023
Complex Recurrent Spectral Network
Lorenzo Chicchi
Lorenzo Giambagli
L. Buffoni
Raffaele Marino
Duccio Fanelli
67
6
0
12 Dec 2023
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
124
5
0
11 Sep 2023
Eight challenges in developing theory of intelligence
Haiping Huang
98
7
0
20 Jun 2023
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks
Raffaele Marino
F. Ricci-Tersenghi
110
15
0
10 May 2023
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
Carlo Baldassi
Enrico M. Malatesta
Gabriele Perugini
R. Zecchina
MQ
92
13
0
26 Apr 2023
Storage and Learning phase transitions in the Random-Features Hopfield Model
M. Negri
Clarissa Lauditi
Gabriele Perugini
Carlo Lucibello
Enrico M. Malatesta
26
16
0
29 Mar 2023
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation
Simone Ciceri
Lorenzo Cassani
Matteo Osella
P. Rotondo
P. Pizzochero
M. Gherardi
76
7
0
09 Mar 2023
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino
Antonio Ferraro
Gabriele Perugini
Christoph Feinauer
Carlo Baldassi
R. Zecchina
265
26
0
07 Feb 2022
Quantum Approximate Optimization Algorithm applied to the binary perceptron
Pietro Torta
G. Mbeng
Carlo Baldassi
R. Zecchina
G. Santoro
44
8
0
19 Dec 2021
Equivalence between algorithmic instability and transition to replica symmetry breaking in perceptron learning systems
Yang Zhao
Junbin Qiu
Mingshan Xie
Haiping Huang
27
4
0
26 Nov 2021
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