10 citations · 14 across the 6 of their papers we have counts for
6 papers
Establishing Baselines for Photonic Quantum Machine Learning: Insights from an Open, Collaborative Initiative
Cassandre Notton, Vassilis Apostolou, Agathe Senellart +28
The Perceval Challenge is an open, reproducible benchmark designed to assess the potential of photonic quantum computing for machine learning. Focusing on a reduced and hardware-fe…
Learning in Associative Networks through Pavlovian Dynamics
Daniele Lotito, Miriam Aquaro, Chiara Marullo
Hebbian learning theory is rooted in Pavlov's Classical Conditioning. While mathematical models of the former have been proposed and studied in the past decades, especially in spin…
On the Thermodynamics of Particles Obeying Monotone Statistics
Fabio Ciolli, Francesco Fidaleo, Chiara Marullo
The aim of the present paper is to provide a preliminary investigation of the thermodynamics of particles obeying monotone statistics. To render the potential physical applications…
Pavlov Learning Machines
Elena Agliari, Miriam Aquaro, Adriano Barra +2
As well known, Hebb's learning traces its origin in Pavlov's Classical Conditioning, however, while the former has been extensively modelled in the past decades (e.g., by Hopfield…
Non-linear PDEs approach to statistical mechanics of Dense Associative Memories
Elena Agliari, Alberto Fachechi, Chiara Marullo
Dense associative memories (DAM), are widespread models in artificial intelligence used for pattern recognition tasks; computationally, they have been proven to be robust against a…
The relativistic Hopfield model with correlated patterns
Elena Agliari, Alberto Fachechi, Chiara Marullo
In this work we introduce and investigate the properties of the "relativistic" Hopfield model endowed with temporally correlated patterns. First, we review the "relativistic" Hopfi…