Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

12 July 2022

Papers citing "Earthformer: Exploring Space-Time Transformers for Earth System Forecasting"

21 / 71 papers shown

Title
PreDiff: Precipitation Nowcasting with Latent Diffusion Models Zhihan Gao Xingjian Shi Boran Han Hongya Wang Xiaoyong Jin Danielle C. Maddix Yi Zhu Mu Li Bernie Wang BDL DiffM 18 53 0 19 Jul 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling Tung Nguyen Jason Jewik Hritik Bansal Prakhar Sharma Aditya Grover AI4Cl AI4CE 23 29 0 04 Jul 2023
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting Ioannis Prapas N. Bountos Spyros Kondylatos Dimitrios Michail Gustau Camps-Valls Ioannis Papoutsis AI4TS 20 12 0 19 Jun 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 9 63 0 27 May 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 10 10 0 19 May 2023
MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video Prediction Domain Zhifeng Ma Hao Zhang Jie Liu 21 7 0 16 Apr 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 16 11 0 28 Mar 2023
Implicit Stacked Autoregressive Model for Video Prediction Min-seok Seo Hakjin Lee Do-Yeon Kim Junghoon Seo VGen 23 16 0 14 Mar 2023
Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers Yang Li Haiyu Dong Zuliang Fang Jonathan A. Weyn Pete Luferenko 20 5 0 06 Dec 2022
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network Min-seok Seo Do-Yeon Kim Seungheon Shin Eunbin Kim Sewoong Ahn Yeji Choi AI4TS 17 10 0 06 Dec 2022
Tools for Extracting Spatio-Temporal Patterns in Meteorological Image Sequences: From Feature Engineering to Attention-Based Neural Networks A. S. Bansal Yoonjin Lee Kyle Hilburn I. Ebert‐Uphoff AI4TS 16 2 0 22 Oct 2022
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning Zhifeng Ma Hao Zhang Jie Liu HAI AI4CE 18 12 0 07 Jun 2022
VidTr: Video Transformer Without Convolutions Yanyi Zhang Xinyu Li Chunhui Liu Bing Shuai Yi Zhu Biagio Brattoli Hao Chen I. Marsic Joseph Tighe ViT 127 193 0 23 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 237 482 0 20 Apr 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,490 0 27 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,939 0 09 Feb 2021
Video Transformer Network Daniel Neimark Omri Bar Maya Zohar Dotan Asselmann ViT 193 375 0 01 Feb 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 1,982 0 28 Jul 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 78 284 0 03 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 201 7,816 0 13 Jun 2015