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Fabio Durastante

10 papers hereh-index 449 citations14 works total

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

author position
  • first author4
  • middle author4
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • math.NA7
  • cs.SI1
  • physics.soc-ph1
  • quant-ph1
same name
  • Fabio Durastante — 12 papers, h 9
  • Fabio Durastante — 4 papers, h 3
  • Fabio Durastante — 4 papers, h 2
  • Fabio Durastante — 3 papers, h 1

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

activity
20202026
most citedNonlocal PageRank

15 citations · 20 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

math.NA2026

Steering dynamic network centrality via control theory

Fabio Durastante, Beatrice Meini, Luca Saluzzi

Time-evolving networks, or temporal networks, play a crucial role in modeling dynamic interactions across various domains, including biology, social sciences, and information techn…

math.NA2026

An Equivalence result for sketched Anderson Acceleration and sketched GMRES

Alberto Bucci, Fabio Durastante

In this paper we present an equivalence result between a randomized version of Anderson Acceleration and of randomized GMRES for linear problems. Namely, we extend the classical re…

quant-ph2026

Pauli-Sparse regularised Counterdiabatic Shortcuts for Linear-Ramp QAOA

Stefano Cipolla, Fabio Durastante

Combinatorial optimization is a leading target for quantum algorithms, but finite-depth QAOA can suffer from strong diabatic errors when the interpolation Hamiltonian has small, or…

math.NA2026

Nearest Reversible Markov Chains with Sparsity Constraints: An Optimization Approach

Stefano Cipolla, Fabio Durastante, Miryam Gnazzo +1

Reversibility is a key property of Markov chains, central to algorithms such as Metropolis-Hastings and other MCMC methods. Yet many applications yield non-reversible chains, motiv…

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