Towards Stability of Autoregressive Neural Operators

Towards Stability of Autoregressive Neural Operators

18 June 2023

Shashank Subramanian

Papers citing "Towards Stability of Autoregressive Neural Operators"

12 / 12 papers shown

Title
Exploring Design Choices for Autoregressive Deep Learning Climate Models Florian Gallusser Simon Hentschel Anna Krause Andreas Hotho AI4Cl 37 0 0 05 May 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 56 0 0 28 Apr 2025
Closed-Loop Neural Operator-Based Observer of Traffic Density Alice Harting Karl H. Johansson Matthieu Barreau 35 0 0 07 Apr 2025
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana Michael McCabe Lucas Meyer Rudy Morel Fruzsina J. Agocs ... François Rozet Liam Parker M. Cranmer S. Ho Shirley Ho PINN AI4CE 72 7 1 30 Nov 2024
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 56 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 42 11 0 25 May 2024
Generic bounds on the approximation error for physics-informed (and) operator learning Tim De Ryck Siddhartha Mishra PINN 59 59 0 23 May 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 25 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 74 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 217 2,287 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 950 20,567 0 17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016