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ClimODE: Climate and Weather Forecasting with Physics-informed Neural
  ODEs

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

15 April 2024
Yogesh Verma
Markus Heinonen
Vikas K. Garg
    AI4CE
ArXivPDFHTML

Papers citing "ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs"

23 / 23 papers shown
Title
A Physics-preserved Transfer Learning Method for Differential Equations
A Physics-preserved Transfer Learning Method for Differential Equations
Hao-Ran Yang
Chuan-Xian Ren
101
0
0
02 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
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences
Jing Han
Hanting Chen
Kai Han
X. Huang
Yongyun Hu
Wenjun Xu
Dacheng Tao
Ping Zhang
AI4CE
39
0
0
19 Apr 2025
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting
Xiaobei Zou
Luolin Xiong
Kexuan Zhang
Cesare Alippi
Yang Tang
AI4TS
44
0
0
02 Apr 2025
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
Qiusheng Huang
Xiaohui Zhong
Xu Fan
Lei Chen
Hao Li
AI4TS
AI4CE
47
0
0
25 Mar 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
Yang Liu
Zinan Zheng
Jiashun Cheng
Fugee Tsung
Deli Zhao
Yu Rong
J. Li
76
1
0
27 Feb 2025
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
Shixuan Li
Wei Yang
Peiyu Zhang
Xiongye Xiao
Defu Cao
Yuehan Qin
X. Zhang
Yue Zhao
Paul Bogdan
72
1
0
16 Feb 2025
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations
Sanghyun Hong
Fan Wu
A. Gruber
Kookjin Lee
42
0
0
12 Jan 2025
Epidemiology-informed Graph Neural Network for Heterogeneity-aware
  Epidemic Forecasting
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
Yufan Zheng
Wei Jiang
Alexander Zhou
Nguyen Quoc Viet Hung
Choujun Zhan
Tong Chen
AI4TS
73
1
0
26 Nov 2024
Spatial Shortcuts in Graph Neural Controlled Differential Equations
Spatial Shortcuts in Graph Neural Controlled Differential Equations
Michael Detzel
Gabriel Nobis
Jackie Ma
Wojciech Samek
29
0
0
25 Oct 2024
Feedback Favors the Generalization of Neural ODEs
Feedback Favors the Generalization of Neural ODEs
Jindou Jia
Zihan Yang
Meng Wang
Kexin Guo
Jianfei Yang
Xiang Yu
Lei Guo
OOD
AI4CE
35
2
0
14 Oct 2024
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich
  Physics-Driven Neural ODE for Weather Forecasting
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
Peiyuan Liu
Tian Zhou
Liang Sun
Rong Jin
AI4CE
32
0
0
09 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models
Continuous Ensemble Weather Forecasting with Diffusion models
Martin Andrae
Tomas Landelius
Joel Oskarsson
Fredrik Lindsten
AI4Cl
29
2
0
07 Oct 2024
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
Nian Ran
Peng Xiao
Yue Wang
Wesley Shi
Jianxin Lin
Qi Meng
Richard Allmendinger
AI4Cl
44
0
0
27 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic
Xi Zhang
Brandon Amos
Mathieu Blanchette
Leo J. Lee
Yoshua Bengio
Alexander Tong
Kirill Neklyudov
31
5
0
26 Aug 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma
Amauri H Souza
Vikas K. Garg
AI4CE
38
4
0
05 Jun 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Wanghan Xu
Fenghua Ling
Wenlong Zhang
Tao Han
Hao Chen
Wanli Ouyang
Lei Bai
AI4CE
34
5
0
22 May 2024
CaFA: Global Weather Forecasting with Factorized Attention on Sphere
CaFA: Global Weather Forecasting with Factorized Attention on Sphere
Zijie Li
Anthony Y. Zhou
Saurabh Patil
A. Farimani
37
6
0
12 May 2024
Scaling transformer neural networks for skillful and reliable
  medium-range weather forecasting
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Tung Nguyen
Rohan Shah
Hritik Bansal
T. Arcomano
Sandeep Madireddy
R. Maulik
V. Kotamarthi
Ian Foster
Aditya Grover
AI4TS
11
56
0
06 Dec 2023
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
60
79
0
08 Sep 2022
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
2,281
0
18 Oct 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
123
422
0
10 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
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