papers

Publications (6)

cs.CV2019

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, Mauricio Reyes, Andras Jakab +421

math.NA2024

Randomized Compression of Rank-Structured Matrices Accelerated with Graph Coloring

James Levitt, Per-Gunnar Martinsson

math.NA2024

Linear-Complexity Black-Box Randomized Compression of Rank-Structured Matrices

James Levitt, Per-Gunnar Martinsson

math.NA2017

Geometry-Oblivious FMM for Compressing Dense SPD Matrices

Chenhan D. Yu, James Levitt, Severin Reiz +1

math.NA2025

Randomized Block Low-Rank Matrix Compression by Tagging

Katherine J. Pearce, Anna Yesypenko, James Levitt +1

physics.optics2016

Spontaneous Emission in Nonlocal Materials

Pavel Ginzburg, Diane Roth, Mazhar E. Nasir +9