Kernel and Lengthscale Selection on the Performance of the Sparse Cholesky Factorization Algorithm

Mathematical modeling and simulation of coronary stents

Low Precision Preconditioning for Iterated Tikhonov Regularization

Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches

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

Efficient Preconditioner for Covariance Matrices Using Geometric Information

Improving Multigrid Methods with Deep Neural Networks

Large Scale Inverse Problems: Low-Rank Approximations and Optimization

Generating Graphs with Deep Learning and Graph Theory