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Operator SVD with Neural Networks via Nested Low-Rank Approximation

Operator SVD with Neural Networks via Nested Low-Rank Approximation

6 February 2024
Jeonghun Ryu
Xiangxiang Xu
H. Erol
Yuheng Bu
Lizhong Zheng
G. Wornell
ArXivPDFHTML

Papers citing "Operator SVD with Neural Networks via Nested Low-Rank Approximation"

6 / 6 papers shown
Title
Neural Feature Learning in Function Space
Neural Feature Learning in Function Space
Xiangxiang Xu
Lizhong Zheng
21
11
0
18 Sep 2023
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
47
14
0
23 Oct 2022
Gold-standard solutions to the Schrödinger equation using deep
  learning: How much physics do we need?
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard
Michael Scherbela
P. Marquetand
Philipp Grohs
AI4CE
35
34
0
19 May 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
205
2,282
0
18 Oct 2020
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
149
446
0
16 Sep 2019
Spectral Inference Networks: Unifying Deep and Spectral Learning
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
49
40
0
06 Jun 2018
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