Katia Matcheva
Orcid: 0000-0003-3074-998X
According to our database1,
Katia Matcheva
authored at least 21 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Axioms, March, 2024
A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks.
Axioms, March, 2024
ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.
Axioms, March, 2024
CoRR, 2024
2023
Z<sub>2</sub> × Z<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.
CoRR, 2023
Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection.
CoRR, 2023
Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6.
CoRR, 2023
Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles.
CoRR, 2023
Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
2022
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression.
CoRR, 2022
Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra.
CoRR, 2022
2021
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression.
CoRR, 2021
Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes.
Proceedings of the NeurIPS 2022 Competition Track, 2021