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CAS4DL: Christoffel Adaptive Sampling for function approximation via
  Deep Learning

CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning

25 August 2022
Ben Adcock
Juan M. Cardenas
N. Dexter
ArXivPDFHTML

Papers citing "CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning"

3 / 3 papers shown
Title
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for
  Parametric PDEs
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs
Biswajit Khara
Aditya Balu
Ameya Joshi
S. Sarkar
C. Hegde
A. Krishnamurthy
Baskar Ganapathysubramanian
22
19
0
04 Oct 2021
Deep Neural Networks Are Effective At Learning High-Dimensional
  Hilbert-Valued Functions From Limited Data
Deep Neural Networks Are Effective At Learning High-Dimensional Hilbert-Valued Functions From Limited Data
Ben Adcock
Simone Brugiapaglia
N. Dexter
S. Moraga
21
29
0
11 Dec 2020
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
203
2,272
0
18 Oct 2020
1