@article{2468999a3a204ba09b4a499443fb9428,
title = "Editorial: Mathematical Fundamentals of Machine Learning",
keywords = "computer vision, deep learning, interpretability, machine learning, neural network",
author = "David Glickenstein and Keaton Hamm and Xiaoming Huo and Yajun Mei and Martin Stoll",
note = "Funding Information: DG and KH were partially supported by NSF CCF-1740858 (University of Arizona Transdisciplinary Research In Principles of Data Science TRIPODS). DG was partially supported by NSF DMS-1760538. XH was partially supported by the Transdisciplinary Research Institute for Advancing Data Science (TRIAD) at Georgia Tech enabled by NSF CCF-1740776 (TRIPODS). XH was partially supported by NSF DMS-2015363. YM was partially supported by NSF DMS-1830344 and DMS-2015405. MS was partially supported by SAB 100378180.",
year = "2021",
month = apr,
day = "7",
doi = "10.3389/fams.2021.674785",
language = "English (US)",
volume = "7",
journal = "Frontiers in Applied Mathematics and Statistics",
issn = "2297-4687",
publisher = "Frontiers Media SA",
}