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2020 – today
- 2024
[j5]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:
A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks. Axioms 13(3): 160 (2024)- [j4]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:
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics. Axioms 13(3): 187 (2024) - [j3]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:
ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. Axioms 13(3): 188 (2024) - [j2]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:
Quantum Vision Transformers for Quark-Gluon Classification. Axioms 13(5): 323 (2024) - [i16]Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner:
Exploring the Truth and Beauty of Theory Landscapes with Machine Learning. CoRR abs/2401.11513 (2024) - [i15]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:
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics. CoRR abs/2402.00776 (2024) - [i14]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:
Quantum Vision Transformers for Quark-Gluon Classification. CoRR abs/2405.10284 (2024) - 2023
- [j1]Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu:
Oracle-Preserving Latent Flows. Symmetry 15(7): 1352 (2023) - [i13]Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup Unlu, Sarunas Verner:
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles. CoRR abs/2301.05638 (2023) - [i12]Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu:
Oracle-Preserving Latent Flows. CoRR abs/2302.00806 (2023) - [i11]Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner:
Discovering Sparse Representations of Lie Groups with Machine Learning. CoRR abs/2302.05383 (2023) - [i10]Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner:
Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6. CoRR abs/2307.04891 (2023) - [i9]Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu:
Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection. CoRR abs/2308.07604 (2023) - [i8]Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner:
Identifying the Group-Theoretic Structure of Machine-Learned Symmetries. CoRR abs/2309.07860 (2023) - [i7]Eyup B. Unlu, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva:
Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model. CoRR abs/2310.10521 (2023) - [i6]Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner:
Seeking Truth and Beauty in Flavor Physics with Machine Learning. CoRR abs/2311.00087 (2023) - [i5]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:
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks. CoRR abs/2311.18672 (2023) - [i4]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:
Z2 × Z2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. CoRR abs/2311.18744 (2023) - 2022
- [i3]Konstantin T. Matchev, Katia Matcheva, Alexander Roman:
Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra. CoRR abs/2201.02696 (2022) - [i2]Zhongtian Dong, Kyoungchul Kong, Konstantin T. Matchev, Katia Matcheva:
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression. CoRR abs/2211.08420 (2022) - 2021
- [c1]Kai Hou Yip, Quentin Changeat, Ingo P. Waldmann, Eyup B. Unlu, Roy T. Forestano, Alexander Roman, Katia Matcheva, Konstantin T. Matchev, Stefan Stefanov, Ondrej Podsztavek, Mario Morvan, Nikolaos Nikolaou, Ahmed F. Al-Refaie, Clare Jenner, Chris Johnson, Angelos Tsiaras, Billy Edwards, Catarina Alves de Oliveira, Jeyan Thiyagalingam, Pierre-Olivier Lagage, James Cho, Giovanna Tinetti:
Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. NeurIPS (Competition and Demos) 2021: 1-17 - [i1]Konstantin T. Matchev, Katia Matcheva, Alexander Roman:
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression. CoRR abs/2112.11600 (2021)
Coauthor Index
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