| |
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Otten, S.; Rolbiecki, K.; Caron, S.; Kim, J.S.; Ruiz de Austri, R.; Tattersall, J. |
DeepXS: fast approximation of MSSM electroweak cross sections at NLO |
2020 |
European Physical Journal C |
80 |
12 - 9pp |
|
|
|
Otten, S.; Caron, S.; de Swart, W.; van Beekveld, M.; Hendriks, L.; van Leeuwen, C.; Podareanu, D.; Ruiz de Austri, R.; Verheyen, R. |
Event generation and statistical sampling for physics with deep generative models and a density information buffer |
2021 |
Nature Communications |
12 |
2985 - 16pp |
|
|
|
Caron, S.; Ruiz de Austri, R.; Zhang, Z.Y. |
Mixture-of-Theories training: can we find new physics and anomalies better by mixing physical theories? |
2023 |
Journal of High Energy Physics |
03 |
004 - 37pp |
|
|
|
Caron, S.; Kim, J.S.; Rolbiecki, K.; Ruiz de Austri, R.; Stienen, B. |
The BSM-AI project: SUSY-AI-generalizing LHC limits on supersymmetry with machine learning |
2017 |
European Physical Journal C |
77 |
257 - 25pp |
|
|
|
Caron, S.; Gomez-Vargas, G.A.; Hendriks, L.; Ruiz de Austri, R. |
Analyzing gamma rays of the Galactic Center with deep learning |
2018 |
Journal of Cosmology and Astroparticle Physics |
05 |
058 - 24pp |
|
