Margaret Trautner

According to our database, Margaret Trautner authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Homogenization for Elliptic Operators.

Kaushik Bhattacharya, Nikola B. Kovachki, Aakila Rajan, Andrew M. Stuart, Margaret Trautner

SIAM J. Numer. Anal., 2024

Discretization Error of Fourier Neural Operators.

Samuel Lanthaler, Andrew M. Stuart, Margaret Trautner

CoRR, 2024

An operator learning perspective on parameter-to-observable maps.

Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner

CoRR, 2024

2023

Learning Markovian Homogenized Models in Viscoelasticity.

Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner

Multiscale Model. Simul., June, 2023

2021

Learn Like The Pro: Norms from Theory to Size Neural Computation.

Margaret Trautner, Ziwei Li, Sai Ravela

CoRR, 2021

2020

Informative Neural Ensemble Kalman Learning.

Margaret Trautner, Gabriel B. Margolis, Sai Ravela

CoRR, 2020

Informative Ensemble Kalman Learning for Neural Structure.

Margaret Trautner, Gabriel B. Margolis, Sai Ravela

Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019

Neural Integration of Continuous Dynamics.

Margaret Trautner, Sai Ravela

CoRR, 2019