Margaret Trautner

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Naive Bayes Classifier

Discretization Methods

Fourier Spectrum

Learning Process

Top Venues

SIAM J. Numer. Anal.

Multiscale Model. Simul.

Publications

Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner
An operator learning perspective on parameter-to-observable maps. CoRR (2024)
Samuel Lanthaler, Andrew M. Stuart, Margaret Trautner
Discretization Error of Fourier Neural Operators. CoRR (2024)
Kaushik Bhattacharya, Nikola B. Kovachki, Aakila Rajan, Andrew M. Stuart, Margaret Trautner
Learning Homogenization for Elliptic Operators. SIAM J. Numer. Anal. 62 (4) (2024)
Kaushik Bhattacharya, Nikola B. Kovachki, Aakila Rajan, Andrew M. Stuart, Margaret Trautner
Learning Homogenization for Elliptic Operators. CoRR (2023)
Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
Learning Markovian Homogenized Models in Viscoelasticity. Multiscale Model. Simul. 21 (2) (2023)
Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
Learning Markovian Homogenized Models in Viscoelasticity. CoRR (2022)
Margaret Trautner, Ziwei Li, Sai Ravela
Learn Like The Pro: Norms from Theory to Size Neural Computation. CoRR (2021)
Margaret Trautner, Gabriel Margolis, Sai Ravela
Informative Ensemble Kalman Learning for Neural Structure. DDDAS (2020)
Margaret Trautner, Gabriel Margolis, Sai Ravela
Informative Neural Ensemble Kalman Learning. CoRR (2020)
Margaret Trautner, Sai Ravela
Neural Integration of Continuous Dynamics. CoRR (2019)