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L. Buffoni

12 papers hereh-index 171.5k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn4
  • quant-ph4
  • cond-mat.stat-mech1
  • cs.AI1
  • cs.LG1
  • q-bio.NC1
same name
  • L. Buffoni — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
classical algorithms 1graph algorithms 1graph neural networks 1maximum clique problem 1quantum computing 1

From the 1 of 12 linked papers with an AI index.

activity
20242026
most citedA short review on the maximum clique problem algorithms with classical, AI, and quantum methods

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2025

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.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

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.