Archives
Mixtures of Large-scale Dynamic Functional Brain Network Modes
We introduce DyNeMo, a new generative model for functional connectivity as a time-varying linear mixture of spatially distributed statistical modes.
Viral Evolution and Antibody Escape Mutations using Deep Generative Models
We leverage deep generative models of evolutionary sequences to predict viral escape mutations.
Principled Uncertainty Estimation for High Dimensional Data
We introduce an importance sampling-based estimator to estimate the epistemic uncertainty of deep learning models for high-dimensional discrete datasets.