Maria Spiropulu

Orcid: 0000-0001-8172-7081

According to our database1, Maria Spiropulu authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Gradient-based Automatic Per-Weight Mixed Precision Quantization for Neural Networks On-Chip.
CoRR, 2024

Orchestration of Entanglement Distribution over a Q-LAN using the IEQNET Controller.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder.
CoRR, 2023

Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation.
CoRR, 2023

Optimization of Classical Light Wavelengths Coexisting with C-band Quantum Networks for Minimal Noise Impact.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

2022
Traversable wormhole dynamics on a quantum processor.
Nat., 2022

Source-agnostic gravitational-wave detection with recurrent autoencoders.
Mach. Learn. Sci. Technol., 2022

2021
Charged particle tracking with quantum annealing optimization.
Quantum Mach. Intell., 2021

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.
CoRR, 2021

MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks.
CoRR, 2021

Diolkos: improving ethernet throughput through dynamic port selection.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

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

2019
Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC.
Comput. Softw. Big Sci., December, 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

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

Next-Generation Exascale Network Integrated Architecture for Global Science [Invited].
JOCN, 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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