Otten, Sydney

1. Machine Learning in High Energy Physics Community White Paper
   2018/07/08 by Kim Albertsson, Albertsson, Kim, Piero Altoè +224 · 13 citations
   Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neutrino Physics Research #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
2. Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
   2025/01/09 by Kristian González Barman, Kristian G. Barman, Sascha Caron +47 · 2 voices · 10 citations
   Computer Science · Decision Sciences · #Scientific Computing and Data Management #Topic Modeling #cs.AI #hep-ph #physics.comp-ph #physics.data-an #physics.hist-ph
3. Combining outlier analysis algorithms to identify new physics at the LHC
   2020/10/15 by van Beekveld, Melissa, Caron, Sascha, Hendriks, Luc +7 · 3 citations
   #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph)
4. Event Generation and Statistical Sampling for Physics with Deep\n Generative Models and a Density Information Buffer
   2019/01/03 by Sydney Otten, S. Caron, Otten, Sydney +15 · 2 citations
   Computer Science · Decision Sciences · #Big Data Technologies and Applications #Computational Physics and Python Applications #Data Analysis #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)