Elizaveta Semenova
Stan team case study writer and expert in using Gaussian Processes on spatio-temporal data
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Aug 13, 2020 • 1h 2min
#21 Gaussian Processes, Bayesian Neural Nets & SIR Models, with Elizaveta Semenova
Elizaveta Semenova, a postdoctorate in Bayesian Machine Learning, discusses her work on Gaussian Processes for studying the spread of Malaria and fitting dose-response curves in pharmaceutical tests. She also talks about her latest paper on Bayesian neural networks for drug toxicity prediction and the interesting link between BNNs and Gaussian Processes.
