Maria Spiropulu

According to our database1, Maria Spiropulu authored at least 11 papers between 2016 and 2020.

Collaborative distances:

Timeline

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Bibliography

2020
Track Seeding and Labelling with Embedded-space Graph Neural Networks.
CoRR, 2020

2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.
CoRR, 2019

Quantum adiabatic machine learning with zooming.
CoRR, 2019

Charged particle tracking with quantum annealing-inspired optimization.
CoRR, 2019

hepaccelerate: Fast Analysis of Columnar Collider Data.
CoRR, 2019

2018
Variational Autoencoders for New Physics Mining at the Large Hadron Collider.
CoRR, 2018

Pileup mitigation at the Large Hadron Collider with Graph Neural Networks.
CoRR, 2018

Topology classification with deep learning to improve real-time event selection at the LHC.
CoRR, 2018

2017
Solving a Higgs optimization problem with quantum annealing for machine learning.
Nat., 2017

An MPI-Based Python Framework for Distributed Training with Keras.
CoRR, 2017

2016
SDN next generation integrated architecture for HEP and global science.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016


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