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20232026
most citedCharging a quantum spin network towards Heisenberg-limited precision

3 citations · 5 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Learning-Based Reconstruction of Optical Properties in Bilayered Media from Single-distance Time-Resolved Reflectance Measurements

Caterina Amendola, Giulia Maffeis, Lorenzo Buffoni +8

The inverse problem of reconstructing optical properties, specifically absorption and scattering coefficients, in layered biological media from time-domain reflectance measurements…

cs.LG2024

Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise

Lorenzo Chicchi, Duccio Fanelli, Diego Febbe +4

The Continuous-Variable Firing Rate (CVFR) model, widely used in neuroscience to describe the intertangled dynamics of excitatory biological neurons, is here trained and tested as…

cs.LG2024

Estimating Global Input Relevance and Enforcing Sparse Representations with a Scalable Spectral Neural Network Approach

Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe +3

In machine learning practice it is often useful to identify relevant input features. Isolating key input elements, ranked according their respective degree of relevance, can help t…

cs.LG2023

Complex Recurrent Spectral Network

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni +2

This paper presents a novel approach to advancing artificial intelligence (AI) through the development of the Complex Recurrent Spectral Network (-RSN), an innovative v…

cs.LG2023

Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing

Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi +2

EODECA (Engineered Ordinary Differential Equations as Classification Algorithm) is a novel approach at the intersection of machine learning and dynamical systems theory, presenting…