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2020 – today
- 2024
[j2]Kaushik Bhattacharya, Nikola B. Kovachki
, Aakila Rajan, Andrew M. Stuart, Margaret Trautner:
Learning Homogenization for Elliptic Operators. SIAM J. Numer. Anal. 62(4): 1844-1873 (2024)- [i7]Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner:
An operator learning perspective on parameter-to-observable maps. CoRR abs/2402.06031 (2024) - [i6]Samuel Lanthaler, Andrew M. Stuart, Margaret Trautner:
Discretization Error of Fourier Neural Operators. CoRR abs/2405.02221 (2024) - 2023
- [j1]Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner:
Learning Markovian Homogenized Models in Viscoelasticity. Multiscale Model. Simul. 21(2): 641-679 (2023) - [i5]Kaushik Bhattacharya, Nikola B. Kovachki, Aakila Rajan, Andrew M. Stuart, Margaret Trautner:
Learning Homogenization for Elliptic Operators. CoRR abs/2306.12006 (2023) - 2022
- [i4]Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner:
Learning Markovian Homogenized Models in Viscoelasticity. CoRR abs/2205.14139 (2022) - 2021
- [i3]Margaret Trautner, Ziwei Li, Sai Ravela:
Learn Like The Pro: Norms from Theory to Size Neural Computation. CoRR abs/2106.11409 (2021) - 2020
- [c1]Margaret Trautner, Gabriel B. Margolis, Sai Ravela:
Informative Ensemble Kalman Learning for Neural Structure. DDDAS 2020: 191-199 - [i2]Margaret Trautner, Gabriel B. Margolis, Sai Ravela:
Informative Neural Ensemble Kalman Learning. CoRR abs/2008.09915 (2020)
2010 – 2019
- 2019
- [i1]Margaret Trautner, Sai Ravela:
Neural Integration of Continuous Dynamics. CoRR abs/1911.10309 (2019)
Coauthor Index
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