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The emergence of a concept in shallow neural networks

The emergence of a concept in shallow neural networks

Neural Networks (NN), 2021
1 September 2021
E. Agliari
Francesco Alemanno
Adriano Barra
G. D. Marzo
ArXiv (abs)PDFHTML

Papers citing "The emergence of a concept in shallow neural networks"

17 / 17 papers shown
Title
Deep Learning Approaches with Explainable AI for Differentiating Alzheimer Disease and Mild Cognitive Impairment
Deep Learning Approaches with Explainable AI for Differentiating Alzheimer Disease and Mild Cognitive Impairment
Fahad Mostafa
Kannon Hossain
Hafiz Khan
67
0
0
27 Sep 2025
Geometric origin of adversarial vulnerability in deep learning
Geometric origin of adversarial vulnerability in deep learning
Yixiong Ren
Wenkang Du
Jianhui Zhou
Haiping Huang
AAMLGAN
151
0
0
01 Sep 2025
Neural Learning Rules from Associative Networks Theory
Neural Learning Rules from Associative Networks Theory
Daniele Lotito
185
0
0
11 Mar 2025
Role of Delay in Brain Dynamics
Role of Delay in Brain Dynamics
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ido Kanter
AI4CE
150
2
0
15 Oct 2024
Random Features Hopfield Networks generalize retrieval to previously
  unseen examples
Random Features Hopfield Networks generalize retrieval to previously unseen examples
Silvio Kalaj
Clarissa Lauditi
Gabriele Perugini
Carlo Lucibello
Enrico M. Malatesta
Matteo Negri
AAML
146
12
0
08 Jul 2024
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI
  Explanations in Pneumothorax Classification
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification
Han Yuan
Chuan Hong
Pengtao Jiang
Gangming Zhao
Nguyen Tuan Anh Tran
Xinxing Xu
Yet Yen Yan
Nan Liu
138
11
0
26 Mar 2024
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
102
0
0
15 Dec 2023
Parallel Learning by Multitasking Neural Networks
Parallel Learning by Multitasking Neural NetworksJournal of Statistical Mechanics: Theory and Experiment (J. Stat. Mech.), 2023
E. Agliari
Andrea Alessandrelli
Adriano Barra
F. Ricci-Tersenghi
183
9
0
08 Aug 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 overfittingNeural Networks (Neural Netw.), 2023
E. Agliari
Francesco Alemanno
Miriam Aquaro
A. Fachechi
205
19
0
01 Aug 2023
Statistical Mechanics of Learning via Reverberation in Bidirectional
  Associative Memories
Statistical Mechanics of Learning via Reverberation in Bidirectional Associative Memories
M. Centonze
Ido Kanter
Adriano Barra
115
3
0
17 Jul 2023
Hopfield model with planted patterns: a teacher-student self-supervised
  learning model
Hopfield model with planted patterns: a teacher-student self-supervised learning modelApplied Mathematics and Computation (Appl. Math. Comput.), 2023
Francesco Alemanno
L. Camanzi
Gianluca Manzan
Daniele Tantari
SSL
168
15
0
26 Apr 2023
Dense Hebbian neural networks: a replica symmetric picture of supervised
  learning
Dense Hebbian neural networks: a replica symmetric picture of supervised learningSocial Science Research Network (SSRN), 2022
E. Agliari
L. Albanese
Francesco Alemanno
Andrea Alessandrelli
Adriano Barra
F. Giannotti
Daniele Lotito
D. Pedreschi
147
21
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 learningSocial Science Research Network (SSRN), 2022
E. Agliari
L. Albanese
Francesco Alemanno
Andrea Alessandrelli
Adriano Barra
F. Giannotti
Daniele Lotito
D. Pedreschi
177
16
0
25 Nov 2022
Efficient shallow learning as an alternative to deep learning
Efficient shallow learning as an alternative to deep learningScientific Reports (Sci Rep), 2022
Yuval Meir
Ofek Tevet
Yarden Tzach
Shiri Hodassman
Ronit D. Gross
Ido Kanter
139
28
0
15 Nov 2022
Optimizing Connectivity through Network Gradients for Restricted Boltzmann Machines
Optimizing Connectivity through Network Gradients for Restricted Boltzmann MachinesNeural Networks (NN), 2022
A. C. N. D. Oliveira
Daniel R. Figueiredo
277
0
0
14 Sep 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
160
5
0
17 Apr 2022
Supervised Hebbian Learning
Supervised Hebbian LearningEurophysics letters (EPL), 2022
Francesco Alemanno
Miriam Aquaro
Ido Kanter
Adriano Barra
E. Agliari
SSL
151
33
0
02 Mar 2022
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