Reinforcement Learning with Manifold Optimization

Parameter Tuning for SIR-Related Models With Variational and Bayesian Methods

Precision Neuromodulation Therapies Using Artificial Intelligence

Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning

Large Scale Inverse Problems: Low-Rank Approximations and Optimization

Differential Equation Interpretation of Deep Neural Networks

Using a Brain Network Model to Predict Brain Structure from Function

Assimilation of velocity data into fluid dynamic simulations, an application to computational hemodynamics

Spatial Optimization of 4-Poster Feeders for Tick-Borne Disease Management