Konstantin T. Matchev

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Unsupervised Classification

Nonparametric Estimation

Machine Learning

Exploratory Data Analysis

Top Venues

Mach. Learn. Sci. Technol.

Publications

Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner
Exploring the Truth and Beauty of Theory Landscapes with Machine Learning. CoRR (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2024)
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) (2024)
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) (2024)
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 (2023)
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 (2023)
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 (2023)
Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
Oracle-Preserving Latent Flows. Symmetry 15 (7) (2023)
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 (2023)
Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
Oracle-Preserving Latent Flows. CoRR (2023)
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
Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner
Seeking Truth and Beauty in Flavor Physics with Machine Learning. CoRR (2023)
Konstantin T. Matchev, Prasanth Shyamsundar
InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification. Mach. Learn. Sci. Technol. 3 (2) (2022)
Konstantin T. Matchev, Katia Matcheva, Alexander Roman
Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra. CoRR (2022)
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 (2022)
Kyoungchul Kong, Konstantin T. Matchev, Stephen Mrenna, Prasanth Shyamsundar
New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation. CoRR (2022)
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)
Konstantin T. Matchev, Katia Matcheva, Alexander Roman
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression. CoRR (2021)
Doojin Kim, Kyoungchul Kong, Konstantin T. Matchev, Myeonghun Park, Prasanth Shyamsundar
Deep-Learned Event Variables for Collider Phenomenology. CoRR (2021)
Konstantin T. Matchev, Prasanth Shyamsundar
InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification. CoRR (2020)
Jyotiranjan Beuria, AseshKrishna Datta, Dipsikha Debnath, Konstantin T. Matchev
LHC collider phenomenology of minimal universal extra dimensions. Comput. Phys. Commun. 226 (2018)