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A. Stephen McGough

2 accepted papers

2024

Insights from the Use of Previously Unseen Neural Architecture Search Datasets

CVPR 2024poster

The boundless possibility of neural networks which can be used to solve a problem - each with different performance - leads to a situation where a Deep Learning expert is required to identify the best neural network. This goes against the hope of removing the need for experts. Neural Architecture Se…

2018

Black-Box Variational Inference for Stochastic Differential Equations

ICML 2018oral

Parameter inference for stochastic differential equations is challenging due to the presence of a latent diffusion process. Working with an Euler-Maruyama discretisation for the diffusion, we use variational inference to jointly learn the parameters and the diffusion paths. We use a standard mean-fi…