Maria Spiropulu

36 papers A 1Misc 1Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs. FPGA Chang Sun, Zhiqiang Que, Thea Aarrestad, Vladimir Loncar, Jennifer Ngadiuba, Wayne Luk, Maria Spiropulu
2026	J	`jnl`	da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs. ACM Trans. Reconfigurable Technol. Syst. Chang Sun, Zhiqiang Que, Vladimir Loncar, Wayne Luk, Maria Spiropulu
2025	J	`jnl`	An Evaluation of Representation Learning Methods in Particle Physics Foundation Models. CoRR Michael Chen, Raghav Kansal, Abhijith Gandrakota, Zichun Hao, Jennifer Ngadiuba, Maria Spiropulu
2025	J	`jnl`	Fast Jet Tagging with MLP-Mixers on FPGAs. CoRR Chang Sun, Jennifer Ngadiuba, Maurizio Pierini, Maria Spiropulu
2025	J	`jnl`	Fast jet tagging with MLP-Mixers on FPGAs. Mach. Learn. Sci. Technol. Chang Sun, Jennifer Ngadiuba, Maurizio Pierini, Maria Spiropulu
2025	J	`jnl`	JEDI-linear: Fast and Efficient Graph Neural Networks for Jet Tagging on FPGAs. CoRR Zhiqiang Que, Chang Sun, Sudarshan Paramesvaran, Emyr John Clement, Katerina Karakoulaki, Christopher Brown, Lauri Laatu, Arianna Cox, Alexander D. Tapper, Wayne Luk, Maria Spiropulu
2025	J	`jnl`	RINO: Renormalization Group Invariance with No Labels. CoRR Zichun Hao, Raghav Kansal, Abhijith Gandrakota, Chang Sun, Jennifer Ngadiuba, Javier M. Duarte, Maria Spiropulu
2025	J	`jnl`	Reply to: Experiments implementing small commuting models lack gravitational features. Nat. Daniel Jafferis, Alexander Zlokapa, Joseph D. Lykken, David K. Kolchmeyer, Samantha I. Davis, Hartmut Neven, Maria Spiropulu
2025	J	`jnl`	Sub-microsecond Transformers for Jet Tagging on FPGAs. CoRR Lauri Laatu, Chang Sun, Arianna Cox, Abhijith Gandrakota, Benedikt Maier, Jennifer Ngadiuba, Zhiqiang Que, Wayne Luk, Maria Spiropulu, Alexander D. Tapper
2025	J	`jnl`	da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs. CoRR Chang Sun, Zhiqiang Que, Vladimir Loncar, Wayne Luk, Maria Spiropulu
2024	J	`jnl`	Gradient-based Automatic Per-Weight Mixed Precision Quantization for Neural Networks On-Chip. CoRR Chang Sun, Thea Klæboe Årrestad, Vladimir Loncar, Jennifer Ngadiuba, Maria Spiropulu
2024	—	`conf`	Orchestration of Entanglement Distribution over a Q-LAN using the IEQNET Controller. OFC 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
2024	Misc	`conf`	The QUANT-NET Testbed Development and Preliminary Results. QCE 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
2023	J	`jnl`	Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation. CoRR Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2023	J	`jnl`	Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder. CoRR Ryan Liu, Abhijith Gandrakota, Jennifer Ngadiuba, Maria Spiropulu, Jean-Roch Vlimant
2023	—	`conf`	Optimization of Classical Light Wavelengths Coexisting with C-band Quantum Networks for Minimal Noise Impact. OFC Jordan M. Thomas, Gregory S. Kanter, Si Xie, Joaquin Chung, Raju Valivarthi, Cristián Peña, Rajkumar Kettimuthu, Panagiotis Spentzouris, Maria Spiropulu, Prem Kumar
2022	J	`jnl`	Source-agnostic gravitational-wave detection with recurrent autoencoders. Mach. Learn. Sci. Technol. Eric A. Moreno, Bartlomiej Borzyszkowski, Maurizio Pierini, Jean-Roch Vlimant, Maria Spiropulu
2022	J	`jnl`	Traversable wormhole dynamics on a quantum processor. Nat. Daniel Jafferis, Alexander Zlokapa, Joseph D. Lykken, David K. Kolchmeyer, Samantha I. Davis, Nikolai Lauk, Hartmut Neven, Maria Spiropulu
2021	J	`jnl`	Charged particle tracking with quantum annealing optimization. Quantum Mach. Intell. Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu
2021	—	`conf`	Diolkos: improving ethernet throughput through dynamic port selection. CF Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent, Justas Balcas, Maria Spiropulu
2021	J	`jnl`	MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks. CoRR Joosep Pata, Javier M. Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu
2021	J	`jnl`	Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. CoRR 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
2021	J	`jnl`	Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders. CoRR Eric A. Moreno, Jean-Roch Vlimant, Maria Spiropulu, Bartlomiej Borzyszkowski, Maurizio Pierini
2020	J	`jnl`	Track Seeding and Labelling with Embedded-space Graph Neural Networks. CoRR 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
2019	J	`jnl`	Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics. CoRR 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
2019	J	`jnl`	Charged particle tracking with quantum annealing-inspired optimization. CoRR Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu
2019	J	`jnl`	Quantum adiabatic machine learning with zooming. CoRR Alexander Zlokapa, Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
2019	J	`jnl`	Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC. Comput. Softw. Big Sci. Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2019	J	`jnl`	hepaccelerate: Fast Analysis of Columnar Collider Data. CoRR Joosep Pata, Maria Spiropulu
2018	J	`jnl`	Pileup mitigation at the Large Hadron Collider with Graph Neural Networks. CoRR Jesus Arjona Martinez, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2018	J	`jnl`	Topology classification with deep learning to improve real-time event selection at the LHC. CoRR Thong Q. Nguyen, Daniel Weitekamp III, Dustin Anderson, Roberto Castello, Olmo Cerri, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2018	J	`jnl`	Variational Autoencoders for New Physics Mining at the Large Hadron Collider. CoRR Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant
2017	J	`jnl`	An MPI-Based Python Framework for Distributed Training with Keras. CoRR Dustin Anderson, Jean-Roch Vlimant, Maria Spiropulu
2017	J	`jnl`	Next-Generation Exascale Network Integrated Architecture for Global Science [Invited]. JOCN Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu
2017	J	`jnl`	Solving a Higgs optimization problem with quantum annealing for machine learning. Nat. Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
2016	—	`conf`	SDN next generation integrated architecture for HEP and global science. OFC Harvey B. Newman, Maria Spiropulu, Justas Balcas, Dorian Kcira, Iosif Legrand, Azher Mughal, Jean-Roch Vlimant, Ramiro Voicu