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07/15/2021
On the Importance of Regularisation Auxiliary Information in OOD Detection
Neural networks are often utilised in critical domain applications (e.g....
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09/03/2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings
Deep neural networks have been successful in diverse discriminative clas...
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12/03/2019
On the Validity of Bayesian Neural Networks for Uncertainty Estimation
Deep neural networks (DNN) are versatile parametric models utilised succ...
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04/04/2019