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01/06/2023
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
Objective: Gaussian Processes (GP)-based filters, which have been effect...
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11/07/2022
Nested sampling statistical errors
Nested sampling (NS) is a popular algorithm for Bayesian computation. We...
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01/27/2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
Nested networks or slimmable networks are neural networks whose architec...
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11/14/2020
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data
Depression and post-traumatic stress disorder (PTSD) are psychiatric con...
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08/30/2019
Fast Scenario Reduction for Power Systems by Deep Learning
Scenario reduction is an important topic in stochastic programming probl...
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05/29/2019
