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cs.LG2026
Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment
Rodrigo Pereira David, Luciano Araujo Dourado Filho, Daniel Marques da Silva +1
Decarbonizing road transport requires consistent and transparent methods for comparing CO2 emissions across vehicle technologies. This paper proposes a machine learning-based frame…
cs.LG2026
Tubular Riemannian Laplace Approximations for Bayesian Neural Networks
Rodrigo Pereira David
Laplace approximations are among the simplest and most practical methods for approximate Bayesian inference in neural networks, yet their Euclidean formulation struggles with the h…