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researcher

Chiara Vercellino

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • quant-ph2
  • cs.LG1
ORCID 0000-0002-0562-3157

identity via Semantic Scholar / OpenAlex

most citedDeep Learning for real-time neural decoding of grasp

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2025

Quantum Reservoir Computing for Credit Card Default Prediction on a Neutral Atom Platform

Giacomo Vitali, Chiara Vercellino, Paolo Viviani +9

In this paper, we define and benchmark a hybrid quantum-classical machine learning pipeline by performing a binary classification task applied to a real-world financial use case. S…

quant-ph2025

Assessing the Elephant in the Room in Scheduling for Current Hybrid HPC-QC Clusters

Paolo Viviani, Roberto Rocco, Matteo Barbieri +14

Quantum computing resources are among the most promising candidates for extending the computational capabilities of High-Performance Computing (HPC) systems. As a result, HPC-quant…

cs.LG2023★ 1 cited

Deep Learning for real-time neural decoding of grasp

Paolo Viviani, Ilaria Gesmundo, Elios Ghinato +9

Neural decoding involves correlating signals acquired from the brain to variables in the physical world like limb movement or robot control in Brain Machine Interfaces. In this con…

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