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Particle-level event classification for LHC trigger, with e-to-end sorting RNNs.
Free accessBASE | 2017| -
MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
Free accessSpringer Verlag | 2021| -
MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
Free accessOnline Contents | 2021| -
MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
Free accessDOAJ | 2021| -
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
Free accessArXiv | 2021| -
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder
Free accessArXiv | 2023| -
Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
Free accessArXiv | 2020| -
Variational autoencoders for new physics mining at the Large Hadron Collider
Free accessOnline Contents | 2019| -
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
Free accessArXiv | 2018| -
Variational autoencoders for new physics mining at the Large Hadron Collider
Free accessSpringer Verlag | 2019| -
Variational autoencoders for new physics mining at the Large Hadron Collider
Free accessDOAJ | 2019|
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