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Learning representations of irregular particle-detector geometry with distance-weighted graph networks
Free accessSpringer Verlag | 2019| -
The DNNLikelihood: enhancing likelihood distribution with Deep Learning
Free accessSpringer Verlag | 2020| -
Phenomenology of Minimal Unified Tree Level Gauge Mediation at the LHC
Free accessSpringer Verlag | 2013| -
MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
Free accessSpringer Verlag | 2021| -
Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider
Free accessSpringer Verlag | 2019| -
Variational autoencoders for new physics mining at the Large Hadron Collider
Free accessSpringer Verlag | 2019| -
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
Free accessSpringer Verlag | 2022| -
Facial control of gas-phase enantioselectivity of strapped tetra-amide macrocycles
Springer Verlag | 2011| -
JEDI-net: a jet identification algorithm based on interaction networks
Free accessSpringer Verlag | 2020| -
Calorimetry with deep learning: particle simulation and reconstruction for collider physics
Free accessSpringer Verlag | 2020| -
New UTfit analysis of the unitarity triangle in the Cabibbo–Kobayashi–Maskawa scheme
Springer Verlag | 2023|
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