Stefano Carrazza | DeepAI

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∙ 09/14/2023

Benchmarking machine learning models for quantum state classification

Quantum computing is a growing field where the information is processed ...

0 Edoardo Pedicillo, et al. ∙

∙ 03/10/2023

Product Jacobi-Theta Boltzmann machines with score matching

The estimation of probability density functions is a non trivial task th...

0 Andrea Pasquale, et al. ∙

∙ 10/13/2021

Style-based quantum generative adversarial networks for Monte Carlo events

We propose and assess an alternative quantum generator architecture in t...

0 Carlos Bravo-Prieto, et al. ∙

∙ 09/28/2021

A framework for quantitative analysis of Computed Tomography images of viral pneumonitis: radiomic features in COVID and non-COVID patients

Purpose: to optimize a pipeline of clinical data gathering and CT images...

0 Giulia Zorzi, et al. ∙

∙ 12/15/2020

PDFFlow: hardware accelerating parton density access

We present PDFFlow, a new software for fast evaluation of parton distrib...

0 Marco Rossi, et al. ∙

∙ 09/14/2020

PDFFlow: parton distribution functions on GPU

We present PDFFlow, a new software for fast evaluation of parton distrib...

0 Stefano Carrazza, et al. ∙

∙ 09/03/2020

Qibo: a framework for quantum simulation with hardware acceleration

We present Qibo, a new open-source software for fast evaluation of quant...

0 Stavros Efthymiou, et al. ∙

∙ 02/28/2020

VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

We present VegasFlow, a new software for fast evaluation of high dimensi...

0 Stefano Carrazza, et al. ∙

∙ 09/23/2019

Towards hardware acceleration for parton densities estimation

In this proceedings we describe the computational challenges associated ...

0 Stefano Carrazza, et al. ∙

∙ 09/03/2019

Lund jet images from generative and cycle-consistent adversarial networks

We introduce a generative model to simulate radiation patterns within a ...

6 Stefano Carrazza, et al. ∙

∙ 05/27/2019

Modelling conditional probabilities with Riemann-Theta Boltzmann Machines

The probability density function for the visible sector of a Riemann-The...

0 Stefano Carrazza, et al. ∙

∙ 03/22/2019

Jet grooming through reinforcement learning

We introduce a novel implementation of a reinforcement learning (RL) alg...

0 Stefano Carrazza, et al. ∙

∙ 07/08/2018

Machine Learning in High Energy Physics Community White Paper

Machine learning is an important research area in particle physics, begi...

0 Kim Albertsson, et al. ∙

∙ 04/20/2018

Sampling the Riemann-Theta Boltzmann Machine

We show that the visible sector probability density function of the Riem...

0 Stefano Carrazza, et al. ∙

∙ 12/20/2017

Riemann-Theta Boltzmann Machine

A general Boltzmann machine with continuous visible and discrete integer...

0 Daniel Krefl, et al. ∙

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