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20182025
most citedInferring astrophysical X-ray polarization with deep learning

2 citations · 2 across the 1 of their papers we have counts for

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hep-ph2021

A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications

The DarkMachines High Dimensional Sampling Group, Csaba Balázs, Melissa van Beekveld +18

Optimisation problems are ubiquitous in particle and astrophysics, and involve locating the optimum of a complicated function of many parameters that may be computationally expensi…

hep-ph2020

Combining outlier analysis algorithms to identify new physics at the LHC

Melissa van Beekveld, Sascha Caron, Luc Hendriks +7

The lack of evidence for new physics at the Large Hadron Collider so far has prompted the development of model-independent search techniques. In this study, we compare the anomaly…

hep-ph2020

Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report

G. Brooijmans, A. Buckley, S. Caron +87

This report presents the activities of the `New Physics' working group for the `Physics at TeV Colliders' workshop (Les Houches, France, 10--28 June, 2019). These activities includ…

hep-ph2019

Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer

Sydney Otten, Sascha Caron, Wieske de Swart +6

We present a study for the generation of events from a physical process with deep generative models. The simulation of physical processes requires not only the production of physic…

hep-ph2018

DeepXS: Fast approximation of MSSM electroweak cross sections at NLO

Sydney Otten, Krzysztof Rolbiecki, Sascha Caron +3

We present a deep learning solution to the prediction of particle production cross sections over a complicated, high-dimensional parameter space. We demonstrate the applicability b…