Research
Conference Papers
M. Trautner, G. Margolis, and S. Ravela, "Informative Neural Ensemble Kalman Learning." DDDAS-2020. (arxiv)
Preprints
B. Liu, M. Trautner, A. M. Stuart, K. Bhattacharya. "Learning Macroscopic Internal Variables and History Dependence from Microscopic Models," 2022. (arxiv).
*K. Bhattacharya, B. Liu, A. Stuart, and M. Trautner. "Learning Homogenized Markovian Models in Viscoelasticity," 2022. (arxiv)
M. Trautner, Z. Li, and S. Ravela, "Learn Like The Pro: Norms from Theory to Size Neural Computation," 2021. (arxiv)
*denotes alphabetical order
Awards
Thomas A. Tisch Prize for Graduate Teaching in Mathematics (Caltech, 2022)
Rhodes Scholarship Finalist (2020)
NCAA Elite 90 Award for highest GPA and credit-hours among national track championship qualifiers (2019)
MathWorks Math Modeling Challenge National Champion (2016)