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20242026
most citedQuantitative convergence of trained quantum neural networks to a Gaussian process

2 citations · 2 across the 5 of their papers we have counts for

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quant-ph2026

Lazy training of quantum physics informed neural networks

Anderson Melchor Hernandez, Giacomo De Palma

We study the gradient-flow training dynamics of quantum physics-informed neural networks (QPINNs) for the solution of second-order elliptic partial differential equations with Diri…

stat.ME2026

A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks

Diogenes de Jesus Ramirez, Anderson Melchor Hernandez, Isabel Cristina Ramirez +1

In this work, we propose a modified Bayesian Information Criterion (BIC) specifically designed for mixture models and hierarchical structures. This criterion incorporates the deter…