Exploring Bayesian Optimization as a tool for exploitation of configurational spaces in Neuroscience
Using Auto-regressive models to identify out-of-distribution brain data to identify disorders
A scikit-learn style implementation of Tippings's RVM algorithm.
Deploying classical ML models for very-high-dimensional data. Top-10 on PAC2019 competition.
I like to take generative models and try to build creative things with it.
Using neural networks to simulate human performance and interpret the model's trained weights