Maria Spiropulu

According to our database, Maria Spiropulu authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Chang Sun, Thea Klæboe Årrestad, Vladimir Loncar, Jennifer Ngadiuba, Maria Spiropulu

CoRR, 2024

The QUANT-NET Testbed Development and Preliminary Results.

Damian Schon, Prathwiraj Umesh, You-Wei Cheah, Se-Young Yu, Ezra Kissel, Raju Valivarthi, Erhan Saglamyurek, Lavanya Ramakrishnan, Wenji Wu, Alp Sipahigil, Maria Spiropulu, Hartmut Häffner, Inder Monga

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Orchestration of Entanglement Distribution over a Q-LAN using the IEQNET Controller.

Joaquin Chung, Md Anirudh Ramesh, Shariful Islam, Gregory S. Kanter, Cristián Peña, Si Xie, Raju Valivarthi, Neil Sinclair, Panagiotis Spentzouris, Maria Spiropulu, Prem Kumar, Raj Kettimuthu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023

Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder.

Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant

CoRR, 2023

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

Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant

CoRR, 2023

Optimization of Classical Light Wavelengths Coexisting with C-band Quantum Networks for Minimal Noise Impact.

Jordan M. Thomas, Gregory S. Kanter, Si Xie, Joaquin Chung, Raju Valivarthi, Cristián Peña, Rajkumar Kettimuthu, Panagiotis Spentzouris, Maria Spiropulu, Prem Kumar

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

2022

Traversable wormhole dynamics on a quantum processor.

Daniel Jafferis, Alexander Zlokapa, Joseph D. Lykken, David K. Kolchmeyer, Samantha I. Davis, Nikolai Lauk, Hartmut Neven, Maria Spiropulu

Nat., 2022

Source-agnostic gravitational-wave detection with recurrent autoencoders.

Eric A. Moreno, Bartlomiej Borzyszkowski, Maurizio Pierini, Jean-Roch Vlimant, Maria Spiropulu

Mach. Learn. Sci. Technol., 2022

2021

Charged particle tracking with quantum annealing optimization.

Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu

Quantum Mach. Intell., 2021

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline.

Xiangyang Ju, Daniel Murnane, Paolo Calafiura, Nicholas Choma, Sean Conlon, Steven Farrell, Yaoyuan Xu, Maria Spiropulu, Jean-Roch Vlimant, Adam Aurisano, Jeremy Hewes, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Markus Atkinson, Mark S. Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar

CoRR, 2021

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

Joosep Pata, Javier M. Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu

CoRR, 2021

Diolkos: improving ethernet throughput through dynamic port selection.

Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent, Justas Balcas, Maria Spiropulu

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020

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

Nicholas Choma, Daniel Murnane, Xiangyang Ju, Paolo Calafiura, Sean Conlon, Steven Farrell, Prabhat, Giuseppe Cerati, Lindsey Gray, Thomas Klijnsma, Jim Kowalkowski, Panagiotis Spentzouris, Jean-Roch Vlimant, Maria Spiropulu, Adam Aurisano, Jeremy Hewes, Aristeidis Tsaris, Kazuhiro Terao, Tracy L. Usher

CoRR, 2020

2019

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC.

Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

Comput. Softw. Big Sci., December, 2019

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

Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander G. Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang

CoRR, 2019

Quantum adiabatic machine learning with zooming.

Alexander Zlokapa, Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu

CoRR, 2019

Charged particle tracking with quantum annealing-inspired optimization.

Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu

CoRR, 2019

hepaccelerate: Fast Analysis of Columnar Collider Data.

Joosep Pata, Maria Spiropulu

CoRR, 2019

2018

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

Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

CoRR, 2018

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

Jesus Arjona Martinez, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant

CoRR, 2018

2017

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

Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu

Nat., 2017

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

Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu

JOCN, 2017

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

Dustin Anderson, Jean-Roch Vlimant, Maria Spiropulu

CoRR, 2017

2016

SDN next generation integrated architecture for HEP and global science.

Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016