Hyperparameter Tuning: Finding the Sweet Spot
Training deep learning models is a bit like tuning a car, you've got a bunch of knobs to adjust, and finding the sweet spot takes patience and know-how.
Gelator Transparency Classification using Kernel Ridge Regression
Applying kernel ridge regression to perform binary classification on the transparency of anionic/cationic gelators under different experimental conditions (sparse data regime).
Where Did COVID-19 Start in the State of New York?
Using maximum entropy reweighting and simulation-based inference, we bias an epidemic simulator to match sparse CSSE case counts and infer the most probable source of New York's COVID-19 outbreak.
