Constraining the parameters of high-dimensional models with active learning

by Sascha Caron, Tom Heskes, Sydney Otten, Bob Stienen
Published 2019-11-01

DeepXS: fast approximation of MSSM electroweak cross sections at NLO

by Sydney Otten, Krzysztof Rolbiecki, Sascha Caron, Jong-Soo Kim, Roberto Ruiz de Austri, Jamie Tattersall
Published 2020-01-01

Combining outlier analysis algorithms to identify new physics at the LHC

by Melissa van Beekveld, Sascha Caron, Luc Hendriks, Paul Jackson, Adam Leinweber, Sydney Otten, Riley Patrick, Roberto Ruiz de Austri, Marco Santoni, Martin White
Published 2021-09-01

Event generation and statistical sampling for physics with deep generative models and a density information buffer

by Sydney Otten, Sascha Caron, Wieske de Swart, Melissa van Beekveld, Luc Hendriks, Caspar van Leeuwen, Damian Podareanu, Roberto Ruiz de Austri, Rob Verheyen
Published 2021-05-01

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

by The DarkMachines High Dimensional Sampling Group, Csaba Balázs, Melissa van Beekveld, Sascha Caron, Barry M. Dillon, Ben Farmer, Andrew Fowlie, Eduardo C. Garrido-Merchán, Will Handley, Luc Hendriks, Guðlaugur Jóhannesson, Adam Leinweber, Judita Mamužić, Gregory D. Martinez, Sydney Otten, Roberto Ruiz de Austri, Pat Scott, Zachary Searle, Bob Stienen, Joaquin Vanschoren, Martin White
Published 2021-05-01