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researcher

Marco Zanetti

4 papers hereh-index 3232 citations9 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.acc-ph2
  • cs.PF1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.PF2026

A Latency-Constrained, Gated Recurrent Unit (GRU) Implementation in the Versal AI Engine

M. Sapkas, A. Triossi, M. Zanetti

This work explores the use of the AMD Xilinx Versal Adaptable Intelligent Engine (AIE) to accelerate Gated Recurrent Unit (GRU) inference for latency constrained applications. We p…

stat.ML2025

Learning to Validate Generative Models: a Goodness-of-Fit Approach

Pietro Cappelli, Gaia Grosso, Marco Letizia +2

Generative models are increasingly central to scientific workflows, yet their systematic use and interpretation require a proper understanding of their limitations through rigorous…

physics.acc-ph2025

MuCol Milestone Report No. 7: Consolidated Parameters

Rebecca Taylor, Antoine Chancé, Dario Augusto Giove +459

This document is comprised of a collection of consolidated parameters for the key parts of the muon collider. These consolidated parameters follow on from the October 2024 Prelimin…

physics.acc-ph2025

The Muon Collider

Carlotta Accettura, Simon Adrian, Rohit Agarwal +450

Muons offer a unique opportunity to build a compact high-energy electroweak collider at the 10 TeV scale. A Muon Collider enables direct access to the underlying simplicity of the…

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