Conditional Sampling and Density Estimation with Triangular Convex Flows

Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches

Linear Programming Approach for Q-Learning

Nonnegative Matrix Factorization for Music - Tuning the NMF Algorithm with Regularization

Improving Multigrid Methods with Deep Neural Networks

Large Scale Inverse Problems: Low-Rank Approximations and Optimization

Estimating and Predicting the Effect of Quarantine in the COVID-19 Pandemic: Using a Modified SEIR Model

Large-Scale Parameter Estimation in Geophysics and Machine Learning