On the Validity of Bayesian Neural Networks for Uncertainty Estimation. - John Mitros; Brian Mac Namee (AICS, 2019)

A Categorisation of Post-hoc Explanations for Predictive Models. - John Mitros; Brian Mac Namee (CoRR, 2019)

Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. - John Mitros; Arjun Pakrashi; Brian Mac Namee (ECCV Workshops (1), 2020)

On the Importance of Regularisation and Auxiliary Information in OOD Detection. - John Mitros; Brian Mac Namee (ICONIP (6), 2021)

On the Importance of Regularisation & Auxiliary Information in OOD Detection. - John Mitros; Brian Mac Namee (CoRR, 2021)

Generalization vs. Memorization in the Presence of Statistical Biases in Transformers. - John Mitros (CoRR, 2024)