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Neural networks with redundant representation: detecting the
  undetectable

Neural networks with redundant representation: detecting the undetectable

28 November 2019
E. Agliari
Francesco Alemanno
Adriano Barra
M. Centonze
A. Fachechi
ArXiv (abs)PDFHTML

Papers citing "Neural networks with redundant representation: detecting the undetectable"

12 / 12 papers shown
Title
Beyond Disorder: Unveiling Cooperativeness in Multidirectional Associative Memories
Andrea Alessandrelli
Adriano Barra
Andrea Ladiana
Andrea Lepre
F. Ricci-Tersenghi
90
0
0
06 Mar 2025
Fundamental operating regimes, hyper-parameter fine-tuning and
  glassiness: towards an interpretable replica-theory for trained restricted
  Boltzmann machines
Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines
A. Fachechi
E. Agliari
Miriam Aquaro
Anthony Coolen
Menno Mulder
AI4CE
75
1
0
14 Jun 2024
Dense Hopfield Networks in the Teacher-Student Setting
Dense Hopfield Networks in the Teacher-Student Setting
Robin Thériault
Daniele Tantari
AAML
67
4
0
08 Jan 2024
Find the Lady: Permutation and Re-Synchronization of Deep Neural
  Networks
Find the Lady: Permutation and Re-Synchronization of Deep Neural Networks
Carl De Sousa Trias
Mihai P. Mitrea
Attilio Fiandrotti
Marco Cagnazzo
Sumanta Chaudhuri
Enzo Tartaglione
73
1
0
19 Dec 2023
Unsupervised and Supervised learning by Dense Associative Memory under
  replica symmetry breaking
Unsupervised and Supervised learning by Dense Associative Memory under replica symmetry breaking
L. Albanese
Andrea Alessandrelli
A. Annibale
Adriano Barra
50
0
0
15 Dec 2023
Regularization, early-stopping and dreaming: a Hopfield-like setup to
  address generalization and overfitting
Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting
E. Agliari
Francesco Alemanno
Miriam Aquaro
A. Fachechi
55
11
0
01 Aug 2023
Dense Hebbian neural networks: a replica symmetric picture of supervised
  learning
Dense Hebbian neural networks: a replica symmetric picture of supervised learning
E. Agliari
L. Albanese
Francesco Alemanno
Andrea Alessandrelli
Adriano Barra
F. Giannotti
Daniele Lotito
D. Pedreschi
43
16
0
25 Nov 2022
Dense Hebbian neural networks: a replica symmetric picture of
  unsupervised learning
Dense Hebbian neural networks: a replica symmetric picture of unsupervised learning
E. Agliari
L. Albanese
Francesco Alemanno
Andrea Alessandrelli
Adriano Barra
F. Giannotti
Daniele Lotito
D. Pedreschi
49
11
0
25 Nov 2022
Recurrent neural networks that generalize from examples and optimize by
  dreaming
Recurrent neural networks that generalize from examples and optimize by dreaming
Miriam Aquaro
Francesco Alemanno
Ido Kanter
Fabrizio Durante
E. Agliari
Adriano Barra
CLL
81
5
0
17 Apr 2022
Differentiable Physics: A Position Piece
Differentiable Physics: A Position Piece
Bharath Ramsundar
Dilip Krishnamurthy
V. Viswanathan
PINNAI4CE
65
15
0
14 Sep 2021
The emergence of a concept in shallow neural networks
The emergence of a concept in shallow neural networks
E. Agliari
Francesco Alemanno
Adriano Barra
G. D. Marzo
53
41
0
01 Sep 2021
Interpolating between boolean and extremely high noisy patterns through
  Minimal Dense Associative Memories
Interpolating between boolean and extremely high noisy patterns through Minimal Dense Associative Memories
Francesco Alemanno
M. Centonze
A. Fachechi
15
6
0
02 Dec 2019
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