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03/25/2023
Autoregressive Conditional Neural Processes
Conditional neural processes (CNPs; Garnelo et al., 2018a) are attractiv...
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11/18/2022
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement
Deploying environmental measurement stations can be a costly and time-co...
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10/29/2022
Ice Core Dating using Probabilistic Programming
Ice cores record crucial information about past climate. However, before...
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03/28/2022
Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning
The modelling of small-scale processes is a major source of error in cli...
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01/20/2021
Convolutional conditional neural processes for local climate downscaling
A new model is presented for multisite statistical downscaling of temper...
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10/07/2020
Ensembling geophysical models with Bayesian Neural Networks
Ensembles of geophysical models improve projection accuracy and express ...
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11/14/2019