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nucl-th2026
Nuclear-physics-guided Gaussian Processes
Javier Rozalén Sarmiento, Hristijan Kochankovski, Arnau Rios +1
Gaussian Process Regression is a powerful nonparametric Bayesian method that provides both predictions and principled uncertainty estimates in closed form. The majority of past app…
nucl-th2024
Fermionic Neural Networks through the lens of Group Theory
J. Rozalén Sarmiento, A. Rios
We present an overview of the method of Neural Quantum States applied to the many-body problem of atomic nuclei. Through the lens of group representation theory, we focus on the pr…