no code implementations • 24 Nov 2023 • Seth Nabarro, Mark van der Wilk, Andrew J Davison
We propose an approach to do learning in Gaussian factor graphs.
no code implementations • 10 Jun 2021 • Seth Nabarro, Stoil Ganev, Adrià Garriga-Alonso, Vincent Fortuin, Mark van der Wilk, Laurence Aitchison
Here, we provide several approaches to developing principled Bayesian neural networks incorporating data augmentation.
1 code implementation • 23 Dec 2020 • Sourabh Kulkarni, Mario Michael Krell, Seth Nabarro, Csaba Andras Moritz
The statistical inference framework is implemented and compared on Intel Xeon CPU, NVIDIA Tesla V100 GPU and the Graphcore Mk1 IPU, and the results are discussed in the context of their computational architectures.
1 code implementation • 7 Dec 2020 • Michael Laskin, Luke Metz, Seth Nabarro, Mark Saroufim, Badreddine Noune, Carlo Luschi, Jascha Sohl-Dickstein, Pieter Abbeel
Deep learning models trained on large data sets have been widely successful in both vision and language domains.
no code implementations • 28 Jun 2018 • Seth Nabarro, Tristan Fletcher, John Shawe-Taylor
Accurately predicting when and where ambulance call-outs occur can reduce response times and ensure the patient receives urgent care sooner.