ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.07472
  4. Cited By
Exploring the design space of deep-learning-based weather forecasting
  systems

Exploring the design space of deep-learning-based weather forecasting systems

9 October 2024
Shoaib Ahmed Siddiqui
Jean Kossaifi
Boris Bonev
Christopher Choy
Jan Kautz
David M. Krueger
Kamyar Azizzadenesheli
    AI4CEOOD
ArXiv (abs)PDFHTML

Papers citing "Exploring the design space of deep-learning-based weather forecasting systems"

24 / 24 papers shown
Title
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
Maohua Yan
Ruicheng Wang
Ke Liu
137
1
0
15 Dec 2024
W-MAE: Pre-trained weather model with masked autoencoder for
  multi-variable weather forecasting
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
Xin Man
Chenghong Zhang
Jin Feng
Changyu Li
Jie Shao
AI4Cl
103
25
0
18 Apr 2023
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global
  Weather Forecast
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
Kaifeng Bi
Lingxi Xie
Hengheng Zhang
Xin Chen
Xiaotao Gu
Qi Tian
AI4Cl
78
170
0
03 Nov 2022
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense
  Prediction
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction
Han Cai
Junyan Li
Muyan Hu
Chuang Gan
Song Han
84
58
0
29 May 2022
Highly Accurate Dichotomous Image Segmentation
Highly Accurate Dichotomous Image Segmentation
Xuebin Qin
H. Dai
Xiaobin Hu
Deng-Ping Fan
Ling Shao
and Luc Van Gool
83
108
0
06 Mar 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
Ashesh Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
Pedram Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
240
708
0
22 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
467
7,814
0
11 Nov 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
312
5,051
0
31 May 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
463
21,564
0
25 Mar 2021
U-Net Transformer: Self and Cross Attention for Medical Image
  Segmentation
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Olivier Petit
Nicolas Thome
Clément Rambour
L. Soler
ViTMedIm
83
248
0
10 Mar 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective
  with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng
Jiachen Lu
Hengshuang Zhao
Xiatian Zhu
Zekun Luo
...
Yanwei Fu
Jianfeng Feng
Tao Xiang
Philip Torr
Li Zhang
ViT
194
2,908
0
31 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
667
41,369
0
22 Oct 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
500
2,444
0
18 Oct 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
202
748
0
07 Mar 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
288
1,211
0
24 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
526
42,559
0
03 Dec 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian
  Augmentation
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
Raphael Gontijo-Lopes
Dong Yin
Ben Poole
Justin Gilmer
E. D. Cubuk
AAML
139
205
0
06 Jun 2019
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
417
5,156
0
19 Jun 2018
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
351
7,995
0
23 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,886
0
20 May 2016
Scheduled Sampling for Sequence Prediction with Recurrent Neural
  Networks
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio
Oriol Vinyals
Navdeep Jaitly
Noam M. Shazeer
152
2,038
0
09 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,341
0
18 May 2015
Generalized Denoising Auto-Encoders as Generative Models
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
111
540
0
29 May 2013
1