Marc Tunnell, Zachary DeBruine, Erin Carrier
Accepted: TMLR, 2025
This paper proposes a method for rank suggestion in non-negative matrix factorization through sensitivity analysis, accepted for publication.
Marc Tunnell, Nathaniel Bowman, Erin Carrier
Published: AGU Earth & Space Science, 2023
Published in September 2023, this work presents a fast Gaussian process emulation method for the Mars Global Climate Model.
Marc Tunnell, Huijin Chung, Yuchou Chang
Published: International Conference on Robotics and Automation (ICRA), 2022
Presented at ICRA in May 2022, this paper introduces a novel convolutional neural network for emotion recognition using neurophysiological signals.
Skylar Ruiter, Seth Wolfgang, Marc Tunnell, Timothy Triche, Erin Carrier, Zachary DeBruine
Published: Data Compression Conference (DCC), 2024
Accepted as a one-page summary for DCC 2024.
Marc Tunnell, Darren Engwirda
Presented: AGU Fall Meeting, 2022
Presented at the AGU Fall Meeting 2022, this summary describes the parallelization of the JIGSAW library for generating large-scale unstructured meshes.
Marc Tunnell, Erik Boman
Submitted: Sandia Internal, 2024
A technical report on the development of parallel incomplete LU factorizations based on alternating triangle solves.