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Transform Once: Efficient Operator Learning in Frequency Domain

Transform Once: Efficient Operator Learning in Frequency Domain

26 November 2022
Michael Poli
Stefano Massaroli
Federico Berto
J. Park
Tri Dao
Christopher Ré
Stefano Ermon
ArXiv (abs)PDFHTML

Papers citing "Transform Once: Efficient Operator Learning in Frequency Domain"

5 / 5 papers shown
Title
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems
Alexander Khrabry
Edward Startsev
Andrew Powis
Igor Kaganovich
AI4CE
92
0
0
24 May 2025
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
Wuyang Chen
Jialin Song
Pu Ren
Shashank Subramanian
Dmitriy Morozov
Michael W. Mahoney
AI4CE
119
12
0
24 Feb 2024
Neural Spectral Methods: Self-supervised learning in the spectral domain
Neural Spectral Methods: Self-supervised learning in the spectral domain
Yiheng Du
N. Chalapathi
Aditi Krishnapriyan
83
9
0
08 Dec 2023
Learning Space-Time Continuous Neural PDEs from Partially Observed
  States
Learning Space-Time Continuous Neural PDEs from Partially Observed States
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
68
1
0
09 Jul 2023
Factorized Fourier Neural Operators
Factorized Fourier Neural Operators
Alasdair Tran
A. Mathews
Lexing Xie
Cheng Soon Ong
AI4CE
99
164
0
27 Nov 2021
1