Search Results for author: Anna Vaughan

Found 5 papers, 2 papers with code

Practical Conditional Neural Processes Via Tractable Dependent Predictions

no code implementations16 Mar 2022 Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner

Existing approaches which model output dependencies, such as Neural Processes (NPs; Garnelo et al., 2018b) or the FullConvGNP (Bruinsma et al., 2021), are either complicated to train or prohibitively expensive.

Decision Making Meta-Learning

Unsupervised Change Detection of Extreme Events Using ML On-Board

1 code implementation4 Nov 2021 Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi

In this paper, we introduce RaVAEn, a lightweight, unsupervised approach for change detection in satellite data based on Variational Auto-Encoders (VAEs) with the specific purpose of on-board deployment.

Change Detection Management +1

Practical Conditional Neural Process Via Tractable Dependent Predictions

no code implementations ICLR 2022 Stratis Markou, James Requeima, Wessel Bruinsma, Anna Vaughan, Richard E Turner

Existing approaches which model output dependencies, such as Neural Processes (NPs; Garnelo et al., 2018) or the FullConvGNP (Bruinsma et al., 2021), are either complicated to train or prohibitively expensive.

Decision Making Meta-Learning

Convolutional conditional neural processes for local climate downscaling

1 code implementation20 Jan 2021 Anna Vaughan, Will Tebbutt, J. Scott Hosking, Richard E. Turner

A new model is presented for multisite statistical downscaling of temperature and precipitation using convolutional conditional neural processes (convCNPs).

Gaussian Processes

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