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Towards Stability of Autoregressive Neural Operators

Towards Stability of Autoregressive Neural Operators

18 June 2023
Michael McCabe
P. Harrington
Shashank Subramanian
Jed Brown
    AI4CE
ArXivPDFHTML

Papers citing "Towards Stability of Autoregressive Neural Operators"

11 / 11 papers shown
Title
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Florian Gallusser
Simon Hentschel
Anna Krause
Andreas Hotho
AI4Cl
30
0
0
05 May 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel
Jiequn Han
Edouard Oyallon
AI4CE
51
0
0
28 Apr 2025
Closed-Loop Neural Operator-Based Observer of Traffic Density
Closed-Loop Neural Operator-Based Observer of Traffic Density
Alice Harting
Karl H. Johansson
Matthieu Barreau
30
0
0
07 Apr 2025
Comparing and Contrasting Deep Learning Weather Prediction Backbones on
  Navier-Stokes and Atmospheric Dynamics
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
Matthias Karlbauer
Danielle C. Maddix
Abdul Fatir Ansari
Boran Han
Gaurav Gupta
Yuyang Wang
Andrew Stuart
Michael W. Mahoney
AI4TS
34
1
0
19 Jul 2024
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
Haiwen Guan
T. Arcomano
Ashesh Chattopadhyay
R. Maulik
AI4Cl
39
10
0
25 May 2024
Generic bounds on the approximation error for physics-informed (and)
  operator learning
Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck
Siddhartha Mishra
PINN
56
58
0
23 May 2022
Möbius Convolutions for Spherical CNNs
Möbius Convolutions for Spherical CNNs
Thomas W. Mitchel
Noam Aigerman
Vladimir G. Kim
Michael Kazhdan
21
11
0
28 Jan 2022
Impact of Aliasing on Generalization in Deep Convolutional Networks
Impact of Aliasing on Generalization in Deep Convolutional Networks
C. N. Vasconcelos
Hugo Larochelle
Vincent Dumoulin
Rob Romijnders
Nicolas Le Roux
Ross Goroshin
OOD
58
33
0
07 Aug 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
203
2,254
0
18 Oct 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 2016
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