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astro-ph.IM2026
Monte Carlo conformal prediction for quantifying uncertainty in radio galaxy classification under ambiguous ground truth
Alex Walls, James Barry, Devina Mohan +1
Dramatically increasing data volumes are forcing astronomers to adopt automated methods for the identification and classification of astronomical objects. Although deep-learning mo…
astro-ph.IM2025
Natural gradient descent for improving variational inference based classification of radio galaxies
Devina Mohan, Anna M. M. Scaife
Bayesian neural networks (BNNs) are most commonly optimised with first-order optimisers such as stochastic gradient descent. However, when optimising for parameters of probabilisti…