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Learning representations of irregular particle-detector geometry with distance-weighted graph networks
Free accessArXiv | 2019| -
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
Free accessArXiv | 2021| -
Shared mental models and intra-team psychophysiological patterns: a test of the juggling paradigm
British Library Online Contents | 2017| -
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider
Free accessArXiv | 2018| -
Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
Free accessArXiv | 2020| -
Pileup mitigation at the Large Hadron Collider with Graph Neural Networks
Free accessArXiv | 2018| -
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
Free accessArXiv | 2018| -
Progress towards an improved particle flow algorithm at CMS with machine learning
Free accessArXiv | 2023| -
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark
Free accessArXiv | 2020| -
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
Free accessArXiv | 2022| -
Topology classification with deep learning to improve real-time event selection at the LHC
Free accessArXiv | 2018| -
Improving Variational Autoencoders for New Physics Detection at the LHC with Normalizing Flows
Free accessArXiv | 2021| -
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics
Free accessArXiv | 2022| -
Rapid, hydrolysis-free, dilute-and-shoot method for the determination of buprenorphine, norbuprenorphine and their glucuronides in urine samples using UHPLC-MS/MS
British Library Online Contents | 2019| -
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
Free accessArXiv | 2023| -
Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC
Free accessArXiv | 2021|
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