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Cited By
Towards Stability of Autoregressive Neural Operators
18 June 2023
Michael McCabe
P. Harrington
Shashank Subramanian
Jed Brown
AI4CE
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Papers citing
"Towards Stability of Autoregressive Neural Operators"
11 / 11 papers shown
Title
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
Rudy Morel
Jiequn Han
Edouard Oyallon
AI4CE
51
0
0
28 Apr 2025
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
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
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
Tim De Ryck
Siddhartha Mishra
PINN
56
58
0
23 May 2022
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
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
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
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
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 2016
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