Maria Spiropulu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Optimization Process

Detection Algorithm

Probability Ranking Principle

Top Venues

Mach. Learn. Sci. Technol.

Publications

Joaquin Chung, Anirudh Ramesh, Shariful Islam, Gregory S. Kanter, Cristián Peña, Si Xie, Raju Valivarthi, Neil Sinclair, Panagiotis Spentzouris, Maria Spiropulu, Prem Kumar, Raj Kettimuthu
Orchestration of Entanglement Distribution over a Q-LAN using the IEQNET Controller. OFC (2024)
Chang Sun, Thea Klæboe Årrestad, Vladimir Loncar, Jennifer Ngadiuba, Maria Spiropulu
Gradient-based Automatic Per-Weight Mixed Precision Quantization for Neural Networks On-Chip. CoRR (2024)
Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder. CoRR (2023)
Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation. CoRR (2023)
Jordan M. Thomas, Gregory S. Kanter, Si Xie, Joaquín Chung, Raju Valivarthi, Cristián Peña, Rajkumar Kettimuthu, Panagiotis Spentzouris, Maria Spiropulu, Prem Kumar
Optimization of Classical Light Wavelengths Coexisting with C-band Quantum Networks for Minimal Noise Impact. OFC (2023)
Daniel Jafferis, Alexander Zlokapa, Joseph D. Lykken, David K. Kolchmeyer, Samantha I. Davis, Nikolai Lauk, Hartmut Neven, Maria Spiropulu
Traversable wormhole dynamics on a quantum processor. Nat. 612 (7938) (2022)
Eric A. Moreno, Bartlomiej Borzyszkowski, Maurizio Pierini, Jean-Roch Vlimant, Maria Spiropulu
Source-agnostic gravitational-wave detection with recurrent autoencoders. Mach. Learn. Sci. Technol. 3 (2) (2022)
Eric A. Moreno, Jean-Roch Vlimant, Maria Spiropulu, Bartlomiej Borzyszkowski, Maurizio Pierini
Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders. CoRR (2021)
Joosep Pata, Javier M. Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks. CoRR (2021)
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 Neubauer, Gage DeZoort, Savannah Thais, Aditi Chauhan, Alex Schuy, Shih-Chieh Hsu, Alexandra Ballow, Alina Lazar
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR (2021)
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu
Charged particle tracking with quantum annealing optimization. Quantum Mach. Intell. 3 (2) (2021)
Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent, Justas Balcas, Maria Spiropulu
Diolkos: improving ethernet throughput through dynamic port selection. CF (2021)
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
Track Seeding and Labelling with Embedded-space Graph Neural Networks. CoRR (2020)
Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC. Comput. Softw. Big Sci. 3 (1) (2019)
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu
Charged particle tracking with quantum annealing-inspired optimization. CoRR (2019)
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
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. CoRR (2019)
Joosep Pata, Maria Spiropulu
hepaccelerate: Fast Analysis of Columnar Collider Data. CoRR (2019)
Alexander Zlokapa, Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
Quantum adiabatic machine learning with zooming. CoRR (2019)
Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
Topology classification with deep learning to improve real-time event selection at the LHC. CoRR (2018)
Jesus Arjona Martinez, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
Pileup mitigation at the Large Hadron Collider with Graph Neural Networks. CoRR (2018)
Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
Variational Autoencoders for New Physics Mining at the Large Hadron Collider. CoRR (2018)
Dustin Anderson, Jean-Roch Vlimant, Maria Spiropulu
An MPI-Based Python Framework for Distributed Training with Keras. CoRR (2017)
Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu
Next-Generation Exascale Network Integrated Architecture for Global Science [Invited]. JOCN 9 (2) (2017)
Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
Solving a Higgs optimization problem with quantum annealing for machine learning. Nat. 550 (7676) (2017)
Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu
SDN next generation integrated architecture for HEP and global science. OFC (2016)