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05/26/2023
Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference
Deep neural networks (DNNs) have found successful applications in many f...
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04/04/2023
Incorporating Unlabelled Data into Bayesian Neural Networks
We develop a contrastive framework for learning better prior distributio...
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07/09/2019
Multivariate Time Series Imputation with Variational Autoencoders
Multivariate time series with missing values are common in many areas, f...
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01/23/2019
Deep Mean Functions for Meta-Learning in Gaussian Processes
Fitting machine learning models in the low-data limit is challenging. Th...
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06/06/2018
