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cs.LG2018
The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning
Jiaming Zeng, Adam Lesnikowski, Jose M. Alvarez
One of the main challenges of deep learning tools is their inability to capture model uncertainty. While Bayesian deep learning can be used to tackle the problem, Bayesian neural n…
cs.LG2016
How Much Did it Rain? Predicting Real Rainfall Totals Based on Radar Data
Adam Lesnikowski
We applied a variety of parametric and non-parametric machine learning models to predict the probability distribution of rainfall based on 1M training examples over a single year a…