2.6k citations · 12.9k across the 87 of their papers we have counts for
9 papers · 1 filter
Towards hardware acceleration for parton densities estimation
Stefano Carrazza, Juan Cruz-Martinez, Jesús Urtasun-Elizari +1
In this proceedings we describe the computational challenges associated to the determination of parton distribution functions (PDFs). We compare the performance of the convolution…
libGroomRL: Reinforcement Learning for Jets
Stefano Carrazza, Frédéric A. Dreyer
In these proceedings, we present a library allowing for straightforward calls in C++ to jet grooming algorithms trained with deep reinforcement learning. The RL agent is trained wi…
Lund jet images from generative and cycle-consistent adversarial networks
Stefano Carrazza, Frédéric A. Dreyer
We introduce a generative model to simulate radiation patterns within a jet using the Lund jet plane. We show that using an appropriate neural network architecture with a stochasti…
Towards a new generation of parton densities with deep learning models
Stefano Carrazza, Juan Cruz-Martinez
We present a new regression model for the determination of parton distribution functions (PDF) using techniques inspired from deep learning projects. In the context of the NNPDF me…
Parton Distributions with Theory Uncertainties: General Formalism and First Phenomenological Studies
The NNPDF Collaboration, Rabah Abdul Khalek, Richard D. Ball +11
We formulate a general approach to the inclusion of theoretical uncertainties, specifically those related to the missing higher order uncertainty (MHOU), in the determination of pa…
Modelling conditional probabilities with Riemann-Theta Boltzmann Machines
Stefano Carrazza, Daniel Krefl, Andrea Papaluca
The probability density function for the visible sector of a Riemann-Theta Boltzmann machine can be taken conditional on a subset of the visible units. We derive that the correspon…