Katia Matcheva

Axioms, March, 2024

A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks.

[BibT_eX]

[DOI]

Axioms, March, 2024

ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.

[BibT_eX]

[DOI]

Axioms, March, 2024

Exploring the Truth and Beauty of Theory Landscapes with Machine Learning.

[BibT_eX]

[DOI]

Pierre Ramond

Sarunas Verner

CoRR, 2024

2023

Oracle-Preserving Latent Flows.

[BibT_eX]

[DOI]

Alexander Roman

Symmetry, July, 2023

Z<sub>2</sub> × Z<sub>2</sub> Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Seeking Truth and Beauty in Flavor Physics with Machine Learning.

[BibT_eX]

[DOI]

Pierre Ramond

Sarunas Verner

CoRR, 2023

Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model.

[BibT_eX]

[DOI]

CoRR, 2023

Identifying the Group-Theoretic Structure of Machine-Learned Symmetries.

[BibT_eX]

[DOI]

CoRR, 2023

Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Accelerated Discovery of Machine-Learned Symmetries: Deriving the Exceptional Lie Groups G2, F4 and E6.

[BibT_eX]

[DOI]

CoRR, 2023

Discovering Sparse Representations of Lie Groups with Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression.

[BibT_eX]

[DOI]

Zhongtian Dong

Kyoungchul Kong

CoRR, 2022

Unsupervised Machine Learning for Exploratory Data Analysis of Exoplanet Transmission Spectra.

[BibT_eX]

[DOI]

Alexander Roman

CoRR, 2022

2021

Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression.

[BibT_eX]

[DOI]