Climate Modeling with Neural Diffusion Equations

Climate Modeling with Neural Diffusion Equations

11 November 2021

Jeongwhan Choi

Papers citing "Climate Modeling with Neural Diffusion Equations"

16 / 16 papers shown

Title
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models Shixuan Li Wei Yang Peiyu Zhang Xiongye Xiao Defu Cao Yuehan Qin Xuzhi Zhang Yue Zhao Paul Bogdan 87 1 0 16 Feb 2025
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 66 0 0 01 Sep 2024
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring Jeongwhan Choi Sumin Park Hyowon Wi Sung-Bae Cho Noseong Park GNN 43 2 0 06 Jun 2024
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation Hyowon Wi Yehjin Shin Noseong Park BDL AI4TS 29 4 0 27 Dec 2023
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 29 6 0 18 Dec 2023
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations S. Lim Jaehyeon Park Seojin Kim Hyowon Wi Haksoo Lim Jinsung Jeon Jeongwhan Choi Noseong Park AI4TS AI4CE 21 2 0 08 Nov 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing-Quan Liu Wei Luo Gang Li Jing Huang Boxiong Yang AI4CE 18 5 0 20 May 2023
Graph Neural Rough Differential Equations for Traffic Forecasting Jeongwhan Choi Noseong Park AI4TS 24 16 0 20 Mar 2023
Learnable Path in Neural Controlled Differential Equations Sheo Yon Jhin Minju Jo Seung-Uk Kook Noseong Park Sungpil Woo Sunhwan Lim 29 5 0 11 Jan 2023
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 21 26 0 25 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting Fan Wu Sanghyun Hong Dobsub Rim Noseong Park Kookjin Lee AI4TS 31 1 0 10 Oct 2022
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 50 103 0 24 Aug 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 424 0 10 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015