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07/12/2022
Markovian Gaussian Process Variational Autoencoders
Deep generative models are widely used for modelling high-dimensional ti...
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05/24/2022
Convolutional Neural Processes for Inpainting Satellite Images
The widespread availability of satellite images has allowed researchers ...
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02/07/2022
Grassmann Stein Variational Gradient Descent
Stein variational gradient descent (SVGD) is a deterministic particle in...
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05/04/2021
Multi-resolution Spatial Regression for Aggregated Data with an Application to Crop Yield Prediction
We develop a new methodology for spatial regression of aggregated output...
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06/09/2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models
Bayesian quadrature (BQ) is a method for solving numerical integration p...
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04/23/2020
