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Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

27 July 2023
Renbo Tu
Colin White
Jean Kossaifi
Boris Bonev
Nikola B. Kovachki
Gennady Pekhimenko
Kamyar Azizzadenesheli
Anima Anandkumar
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Papers citing "Guaranteed Approximation Bounds for Mixed-Precision Neural Operators"

9 / 9 papers shown
Title
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
Robert Joseph George
David Pitt
Jiawei Zhao
Jean Kossaifi
Cheng Luo
Yuandong Tian
Anima Anandkumar
26
1
0
04 Jan 2025
An Operator Learning Framework for Spatiotemporal Super-resolution of
  Scientific Simulations
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations
Valentin Duruisseaux
Amit Chakraborty
AI4CE
11
1
0
04 Nov 2023
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Jean Kossaifi
Nikola B. Kovachki
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
37
31
0
29 Sep 2023
Neural Operators for Accelerating Scientific Simulations and Design
Neural Operators for Accelerating Scientific Simulations and Design
Kamyar Azzizadenesheli
Nikola B. Kovachki
Zong-Yi Li
Miguel Liu-Schiaffini
Jean Kossaifi
Anima Anandkumar
AI4CE
26
117
0
27 Sep 2023
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric
  Super-Resolution with BLASTNet 2.0 Data
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
Wai Tong Chung
Bassem Akoush
Pushan Sharma
Alex Tamkin
Kihoon Jung
...
D. Brouzet
M. Talei
B. Savard
A. Poludnenko
M. Ihme
AI4CE
20
13
0
23 Sep 2023
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
Miguel Liu-Schiaffini
C. Singer
Nikola B. Kovachki
T. Schneider
Kamyar Azizzadenesheli
Anima Anandkumar
10
4
0
17 Aug 2023
FP8 Formats for Deep Learning
FP8 Formats for Deep Learning
Paulius Micikevicius
Dusan Stosic
N. Burgess
Marius Cornea
Pradeep Dubey
...
Naveen Mellempudi
S. Oberman
M. Shoeybi
Michael Siu
Hao Wu
BDL
VLM
MQ
62
119
0
12 Sep 2022
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
115
198
0
28 Sep 2021
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
197
2,254
0
18 Oct 2020
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