Mutual Information Neural Estimators
Mutual Information As part of my work on Concept Bottleneck Models, I looked at mutual information and its estimation quite often! Mutual Information is a metric for measuring the …
Selected Projects
I enjoy making things. Here are a selection of projects that I have worked on over the years.
Tackling Information Leakage in Concept Bottleneck Models
Deep Neural Networks (DNNs) are powerful black boxes, but their lack of transparency makes them unsuitable for high-stakes domains like healthcare. Concept Bottleneck Models (CBMs) …
Adaptive Random Walk Metropolis with Spectral Preconditioning
High-Level Overview In Bayesian inference, we often need to sample from complex, high-dimensional posterior distributions that are non-conjugate. While MCMC algorithms like the …
Toward using GANs in astrophysical Monte-Carlo simulations
High-Level Overview Accurate modeling of spectra from X-ray sources requires computationally expensive Monte-Carlo (MC) simulations. These simulations must sample from numerous …