Margaret Trautner

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning Memory and Material Dependent Constitutive Laws. CoRR Kaushik Bhattacharya, Lianghao Cao, George Stepaniants, Andrew M. Stuart, Margaret Trautner
2025	J	`jnl`	Theory-to-Practice Gap for Neural Networks and Neural Operators. CoRR Philipp Grohs, Samuel Lanthaler, Margaret Trautner
2024	J	`jnl`	An operator learning perspective on parameter-to-observable maps. CoRR Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner
2024	J	`jnl`	Discretization Error of Fourier Neural Operators. CoRR Samuel Lanthaler, Andrew M. Stuart, Margaret Trautner
2024	J	`jnl`	Learning Homogenization for Elliptic Operators. SIAM J. Numer. Anal. Kaushik Bhattacharya, Nikola B. Kovachki, Aakila Rajan, Andrew M. Stuart, Margaret Trautner
2023	J	`jnl`	Learning Homogenization for Elliptic Operators. CoRR Kaushik Bhattacharya, Nikola B. Kovachki, Aakila Rajan, Andrew M. Stuart, Margaret Trautner
2023	J	`jnl`	Learning Markovian Homogenized Models in Viscoelasticity. Multiscale Model. Simul. Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
2022	J	`jnl`	Learning Markovian Homogenized Models in Viscoelasticity. CoRR Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
2021	J	`jnl`	Learn Like The Pro: Norms from Theory to Size Neural Computation. CoRR Margaret Trautner, Ziwei Li, Sai Ravela
2020	—	`conf`	Informative Ensemble Kalman Learning for Neural Structure. DDDAS Margaret Trautner, Gabriel B. Margolis, Sai Ravela
2020	J	`jnl`	Informative Neural Ensemble Kalman Learning. CoRR Margaret Trautner, Gabriel B. Margolis, Sai Ravela
2019	J	`jnl`	Neural Integration of Continuous Dynamics. CoRR Margaret Trautner, Sai Ravela