4 citations · 11 across the 9 of their papers we have counts for
4 papers · 1 filter
TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era
Sascha Caron, Nadezhda Dobreva, Antonio Ferrer Sánchez +5
High-Energy Physics experiments are facing a multi-fold data increase with every new iteration. This is certainly the case for the upcoming High-Luminosity LHC upgrade. Such increa…
Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering
Uraz Odyurt, Nadezhda Dobreva, Zef Wolffs +6
Track reconstruction is a vital aspect of High-Energy Physics (HEP) and plays a critical role in major experiments. In this study, we delve into unexplored avenues for particle tra…
Model Parallelism on Distributed Infrastructure: A Literature Review from Theory to LLM Case-Studies
Felix Brakel, Uraz Odyurt, Ana-Lucia Varbanescu
Neural networks have become a cornerstone of machine learning. As the trend for these to get more and more complex continues, so does the underlying hardware and software infrastru…
Towards Seamless Serverless Computing Across an Edge-Cloud Continuum
Emilian Simion, Yuandou Wang, Hsiang-ling Tai +2
Serverless computing has emerged as an attractive paradigm due to the efficiency of development and the ease of deployment without managing any underlying infrastructure. Neverthel…