Konstantin T. Matchev

37 papers Journal 35Unranked 2

Year	Rank	Type	Title / 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`	ASTER - Agentic Science Toolkit for Exoplanet Research. CoRR Emilie Panek, Alexander Roman, Gaurav Shukla, Leonardo Pagliaro, Katia Matcheva, Konstantin T. Matchev
2026	J	`jnl`	Hunting for "Oddballs" with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders. CoRR Alexander Roman, Emilie Panek, Roy T. Forestano, Eyup B. Unlu, Katia Matcheva, Konstantin T. Matchev
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`	Supervised Machine Learning Methods with Uncertainty Quantification for Exoplanet Atmospheric Retrievals from Transmission Spectroscopy. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
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`	Exploring the Truth and Beauty of Theory Landscapes with Machine Learning. CoRR Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner
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`	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`	Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup Unlu, Sarunas Verner
2023	J	`jnl`	Deep learning symmetries and their Lie groups, algebras, and subalgebras from first principles. Mach. Learn. Sci. Technol. Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Discovering Sparse Representations of Lie Groups with Machine Learning. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Identifying the Group-Theoretic Structure of Machine-Learned Symmetries. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Alexander Roman, Eyup B. Unlu, Sarunas Verner
2023	J	`jnl`	Oracle-Preserving Latent Flows. CoRR Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023	J	`jnl`	Oracle-Preserving Latent Flows. Symmetry Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023	—	`conf`	Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model. PKDD/ECML Workshops (5) Eyup B. Unlu, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva
2023	J	`jnl`	Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model. CoRR Eyup B. Unlu, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva
2023	J	`jnl`	Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection. CoRR Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu
2023	J	`jnl`	Seeking Truth and Beauty in Flavor Physics with Machine Learning. CoRR Konstantin T. Matchev, Katia Matcheva, Pierre Ramond, Sarunas Verner
2023	J	`jnl`	Z 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`	InClass nets: independent classifier networks for nonparametric estimation of conditional independence mixture models and unsupervised classification. Mach. Learn. Sci. Technol. Konstantin T. Matchev, Prasanth Shyamsundar
2022	J	`jnl`	Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression. CoRR Zhongtian Dong, Kyoungchul Kong, Konstantin T. Matchev, Katia Matcheva
2022	J	`jnl`	New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation. CoRR Kyoungchul Kong, Konstantin T. Matchev, Stephen Mrenna, Prasanth Shyamsundar
2022	J	`jnl`	Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra. CoRR Konstantin T. Matchev, Katia Matcheva, Alexander Roman
2021	J	`jnl`	Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression. CoRR Konstantin T. Matchev, Katia Matcheva, Alexander Roman
2021	J	`jnl`	Deep-Learned Event Variables for Collider Phenomenology. CoRR Doojin Kim, Kyoungchul Kong, Konstantin T. Matchev, Myeonghun Park, Prasanth Shyamsundar
2021	—	`conf`	Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification. CoRR Konstantin T. Matchev, Prasanth Shyamsundar
2018	J	`jnl`	LHC collider phenomenology of minimal universal extra dimensions. Comput. Phys. Commun. Jyotiranjan Beuria, AseshKrishna Datta, Dipsikha Debnath, Konstantin T. Matchev