1.2k citations · 7.5k across the 116 of their papers we have counts for
13 papers · 1 filter
Accelerating GAN training using highly parallel hardware on public cloud
Renato Cardoso, Dejan Golubovic, Ignacio Peluaga Lozada +3
With the increasing number of Machine and Deep Learning applications in High Energy Physics, easy access to dedicated infrastructure represents a requirement for fast and efficient…
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
Cenk Tüysüz, Carla Rieger, Kristiane Novotny +6
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminos…
Fast Simulation of a High Granularity Calorimeter by Generative Adversarial Networks
Gul Rukh Khattak, Sofia Vallecorsa, Federico Carminati +1
We present the 3DGAN for the simulation of a future high granularity calorimeter output as three-dimensional images. We prove the efficacy of Generative Adversarial Networks (GANs)…
Convolutional LSTM models to estimate network traffic
Joanna Waczynska, Edoardo Martelli, Sofia Vallecorsa +2
Network utilisation efficiency can, at least in principle, often be improved by dynamically re-configuring routing policies to better distribute on-going large data transfers. Unfo…
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
Florian Rehm, Sofia Vallecorsa, Kerstin Borras +1
The precise simulation of particle transport through detectors remains a key element for the successful interpretation of high energy physics results. However, Monte Carlo based si…
Higgs analysis with quantum classifiers
Vasileios Belis, Samuel González-Castillo, Christina Reissel +4
We have developed two quantum classifier models for the classification problem, both of which fall into the category of hybrid quantum-classical algorithms fo…
Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
Su Yeon Chang, Steven Herbert, Sofia Vallecorsa +2
Generative models, and Generative Adversarial Networks (GAN) in particular, are being studied as possible alternatives to Monte Carlo simulations. It has been proposed that, in cer…
Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations
Florian Rehm, Sofia Vallecorsa, Kerstin Borras +1
In particle physics the simulation of particle transport through detectors requires an enormous amount of computational resources, utilizing more than 50% of the resources of the C…
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
Florian Rehm, Sofia Vallecorsa, Vikram Saletore +5
Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computation…
Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
Agastya P. Bhati, Shunzhou Wan, Dario Alfè +26
The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottle…
Deep Learning strategies for ProtoDUNE raw data denoising
Marco Rossi, Sofia Vallecorsa
In this work, we investigate different machine learning-based strategies for denoising raw simulation data from the ProtoDUNE experiment. The ProtoDUNE detector is hosted by CERN a…
Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors
Su Yeon Chang, Sofia Vallecorsa, Elías F. Combarro +1
Deep Neural Networks (DNNs) come into the limelight in High Energy Physics (HEP) in order to manipulate the increasing amount of data encountered in the next generation of accelera…
Performance of Particle Tracking Using a Quantum Graph Neural Network
Cenk Tüysüz, Kristiane Novotny, Carla Rieger +7
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminos…