Elena Agliari


Titolo Pubblicato in Anno
Supervised Hebbian learning EUROPHYSICS LETTERS 2023
From Pavlov Conditioning to Hebb Learning NEURAL COMPUTATION 2023
The emergence of a concept in shallow neural networks NEURAL NETWORKS 2022
Outperforming RBM Feature-Extraction Capabilities by "Dreaming" Mechanism IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022
Nonlinear PDEs approach to statistical mechanics of dense associative memories JOURNAL OF MATHEMATICAL PHYSICS 2022
Boltzmann machines as generalized hopfield networks: A review of recent results and outlooks ENTROPY 2021
On the effective initialisation for restricted Boltzmann machines via duality with Hopfield model NEURAL NETWORKS 2021
Learning and Retrieval Operational Modes for Three-Layer Restricted Boltzmann Machines JOURNAL OF STATISTICAL PHYSICS 2021
Storing, learning and retrieving biased patterns APPLIED MATHEMATICS AND COMPUTATION 2021
A transport equation approach for deep neural networks with quenched random weights JOURNAL OF PHYSICS. A, MATHEMATICAL AND THEORETICAL 2021
Neural Networks with a Redundant Representation: Detecting the Undetectable PHYSICAL REVIEW LETTERS 2020
A statistical inference approach to reconstruct intercellular interactions in cell migration experiments SCIENCE ADVANCES 2020
Generalized Guerra’s interpolation schemes for dense associative neural networks NEURAL NETWORKS 2020
Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers SCIENTIFIC REPORTS 2020
Analysis of temporal correlation in heart rate variability through maximum entropy principle in a minimal pairwise glassy model SCIENTIFIC REPORTS 2020
Replica symmetry breaking in neural networks: A few steps toward rigorous results JOURNAL OF PHYSICS. A, MATHEMATICAL AND THEORETICAL 2020
Tolerance versus synaptic noise in dense associative memories THE EUROPEAN PHYSICAL JOURNAL PLUS 2020
Machine learning and statistical physics: preface JOURNAL OF PHYSICS. A, MATHEMATICAL AND THEORETICAL 2020
The relativistic Hopfield model with correlated patterns JOURNAL OF MATHEMATICAL PHYSICS 2020
Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones NEURAL NETWORKS 2019


  • PE1_12
  • PE1_21
  • PE3_15

Interessi di ricerca

My main field of reasearch is Statistical Mechanics.
In particular, I am interested in Neural networks, Machine Learning, Biological Cybernetics,​  and Mathematical Models and Methods  for Complex Systems. 


Statistical mechanics of disordered systems
artificial neural network
Applied Mathematics

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