Sergei Gleyzer

33 papers Journal 32Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI Agents for Variational Quantum Circuit Design.
CoRR
Marco Knipfer, Alexander Roman, Konstantin T. Matchev, Katia Matcheva, Sergei Gleyzer
2026 J jnl
GNN For Muon Particle Momentum estimation.
CoRR
Vishak K. Bhat, Eric A. F. Reinhardt, Sergei Gleyzer
2026 J jnl
The Pareto Frontiers of Magic and Entanglement: The Case of Two Qubits.
CoRR
Alexander Roman, Marco Knipfer, Jogi Suda Neto, Konstantin T. Matchev, Katia Matcheva, Sergei Gleyzer
2025 J jnl
FlowLensing: Simulating Gravitational Lensing with Flow Matching.
CoRR
Hamees Sayed, Pranath Reddy, Michael W. Toomey, Sergei Gleyzer
2025 J jnl
Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States.
CoRR
Mahmud Ashraf Shamim, Eric A. F. Reinhardt, Talal Ahmed Chowdhury, Sergei Gleyzer, Paulo T. Araujo
2024 J jnl
A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks.
Axioms
Roy T. Forestano, Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2024 J jnl
A Machine Learning Approach to Detecting Albedo Anomalies on the Lunar Surface.
CoRR
Sofia Strukova, Sergei Gleyzer, Patrick Peplowski, Jason P. Terry
2024 J jnl
Deep learning-based spatiotemporal multi-event reconstruction for delay line detectors.
Mach. Learn. Sci. Technol.
Marco Knipfer, Stefan Meier, Tobias Volk, Jonas Heimerl, Peter Hommelhoff, Sergei Gleyzer
2024 J jnl
DiffLense: a conditional diffusion model for super-resolution of gravitational lensing data.
Mach. Learn. Sci. Technol.
Pranath Reddy, Michael W. Toomey, Hanna Parul, Sergei Gleyzer
2024 J jnl
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics.
Axioms
Eyup B. Unlu, Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva
2024 J jnl
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics.
CoRR
Eyup B. Unlu, Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva
2024 J jnl
Lie-Equivariant Quantum Graph Neural Networks.
CoRR
Jogi Suda Neto, Roy T. Forestano, Sergei Gleyzer, Kyoungchul Kong, Konstantin T. Matchev, Katia Matcheva
2024 J jnl
Quantum Attention for Vision Transformers in High Energy Physics.
CoRR
Alessandro Tesi, Gopal Ramesh Dahale, Sergei Gleyzer, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva
2024 J jnl
Quantum Diffusion Model for Quark and Gluon Jet Generation.
CoRR
Mariia Baidachna, Rey Guadarrama, Gopal Ramesh Dahale, Tom Magorsch, Isabel Pedraza, Konstantin T. Matchev, Katia Matcheva, Kyoungchul Kong, Sergei Gleyzer
2024 J jnl
Quantum Vision Transformers for Quark-Gluon Classification.
Axioms
Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2024 J jnl
Quantum Vision Transformers for Quark-Gluon Classification.
CoRR
Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2024 J jnl
SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions.
CoRR
Eric A. F. Reinhardt, P. R. Dinesh, Sergei Gleyzer
2024 J jnl
SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions.
Frontiers Artif. Intell.
Eric A. F. Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer
2024 J jnl
ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.
Axioms
Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023 J jnl
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks.
CoRR
Roy T. Forestano, Marçal Comajoan Cara, Gopal Ramesh Dahale, Zhongtian Dong, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023 J jnl
Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors.
CoRR
Marco Knipfer, Stefan Meier, Jonas Heimerl, Peter Hommelhoff, Sergei Gleyzer
2023 J jnl
Kinematic Evidence of an Embedded Protoplanet in HD 142666 Identified by Machine Learning.
CoRR
J. P. Terry, C. Hall, Sean Abreau, Sergei Gleyzer
2023 J jnl
SYMBA: symbolic computation of squared amplitudes in high energy physics with machine learning.
Mach. Learn. Sci. Technol.
Abdulhakim Alnuqaydan, Sergei Gleyzer, Harrison Prosper
2023 J jnl
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CoRR
Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2022 J jnl
Locating Hidden Exoplanets in ALMA Data Using Machine Learning.
CoRR
Jason P. Terry, Cassandra Hall, Sean Abreau, Sergei Gleyzer
2022 J jnl
SYMBA: Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning.
CoRR
Abdulhakim Alnuqaydan, Sergei Gleyzer, Harrison Prosper
2021 J jnl
End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data.
CoRR
Michael Andrews, Bjorn Burkle, Yi-Fan Chen, Davide DiCroce, Sergei Gleyzer, Ulrich Heintz, Meenakshi Narain, Manfred Paulini, Nikolas Pervan, Yusef Shafi, Wei Sun, Kun Yang
2021 J jnl
Graph Generative Models for Fast Detector Simulations in High Energy Physics.
CoRR
Ali Hariri, Darya Dyachkova, Sergei Gleyzer
2020 J jnl
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC.
Comput. Softw. Big Sci.
Michael Andrews, Manfred Paulini, Sergei Gleyzer, Barnabás Póczos
2019 J jnl
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data.
CoRR
Michael Andrews, John Alison, Sitong An, Patrick Bryant, Bjorn Burkle, Sergei Gleyzer, Meenakshi Narain, Manfred Paulini, Barnabás Póczos, Emanuele Usai
2018 J jnl
End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC.
CoRR
Michael Andrews, Manfred Paulini, Sergei Gleyzer, Barnabás Póczos
2018 J jnl
Machine Learning in High Energy Physics Community White Paper.
CoRR
Sergei Gleyzer, Paul Seyfert, Steven Schramm
2017 — conf
Accelerating High-energy Physics Exploration with Deep Learning.
PEARC
Dave Ojika, Darin Acosta, Ann Gordon-Ross, Andrew Carnes, Sergei Gleyzer