166 citations · 309 across the 26 of their papers we have counts for
3 papers · 1 filter
Uncertainty Quantification and Deep Ensembles
Rahul Rahaman, Alexandre H. Thiery
Deep Learning methods are known to suffer from calibration issues: they typically produce over-confident estimates. These problems are exacerbated in the low data regime. Although…
Manifold lifting: scaling MCMC to the vanishing noise regime
Khai Xiang Au, Matthew M. Graham, Alexandre H. Thiery
Standard Markov chain Monte Carlo methods struggle to explore distributions that are concentrated in the neighbourhood of low-dimensional structures. These pathologies naturally oc…
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning
Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda +16
Since the introduction of optical coherence tomography (OCT), it has been possible to study the complex 3D morphological changes of the optic nerve head (ONH) tissues that occur al…