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 X. Zhang Yue Zhao Paul Bogdan 56 1 0 16 Feb 2025
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 48 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 23 2 0 06 Jun 2024
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation Hyowon Wi Yehjin Shin Noseong Park BDL AI4TS 16 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 25 2 0 27 Dec 2023
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 10 5 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 8 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 10 5 0 20 May 2023
Graph Neural Rough Differential Equations for Traffic Forecasting Jeongwhan Choi Noseong Park AI4TS 11 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 16 5 0 11 Jan 2023
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 11 18 0 25 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 12 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 14 0 0 10 Oct 2022
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 42 101 0 24 Aug 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 364 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 195 7,816 0 13 Jun 2015