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Learning through atypical "phase transitions" in overparameterized
  neural networks

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
ArXivPDFHTML

Papers citing "Learning through atypical "phase transitions" in overparameterized neural networks"

6 / 6 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
46
4
0
20 Feb 2025
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
30
2
0
09 Oct 2024
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
Raffaele Marino
F. Ricci-Tersenghi
23
14
0
10 May 2023
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of
  Flat Regions in the Landscape Geometry
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
199
24
0
07 Feb 2022
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
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
85
152
0
02 Mar 2020
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