Title
Forecasting the Future with Future Technologies: Advancements in Large Meteorological Models Hailong Shu Yue Wang Weiwei Song Huichuang Guo Zhen Song AI4Cl AI4CE 18 1 0 10 Apr 2024
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach Yixuan Sun O. Sowunmi Romain Egele S. Narayanan Luke Van Roekel Prasanna Balaprakash 30 1 0 07 Apr 2024
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting Patrick Ebel Brandon Victor Peter Naylor Gabriele Meoni Federico Serva Rochelle Schneider 35 0 0 05 Apr 2024
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations Jason Stock Jaideep Pathak Y. Cohen Michael S. Pritchard Piyush Garg Dale Durran Morteza Mardani Noah D. Brenowitz 43 5 0 04 Apr 2024
Universal Functional Regression with Neural Operator Flows Yaozhong Shi Angela F. Gao Zachary E. Ross Kamyar Azizzadenesheli 37 3 0 03 Apr 2024
MODNO: Multi Operator Learning With Distributed Neural Operators Zecheng Zhang 43 6 0 03 Apr 2024
Global Vegetation Modeling with Pre-Trained Weather Transformers Pascal Janetzky Florian Gallusser Simon Hentschel Andreas Hotho Anna Krause 23 0 0 27 Mar 2024
Interpretable Machine Learning for Weather and Climate Prediction: A Survey Ruyi Yang Jingyu Hu Zihao Li Jianli Mu Tingzhao Yu Jiangjiang Xia Xuhong Li Aritra Dasgupta Haoyi Xiong AI4CE 34 4 0 24 Mar 2024
An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting Jonathan A. Weyn Divya Kumar Jeremy Berman Najeeb Kazmi Sylwester Klocek Pete Luferenko Kit Thambiratnam AI4Cl 29 1 0 22 Mar 2024
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention Ethan N. Evans Matthew G. Cook Zachary P. Bradshaw Margarite L. LaBorde 48 5 0 21 Mar 2024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes Yifan Chen Mark Goldstein Mengjian Hua M. S. Albergo Nicholas M. Boffi Eric Vanden-Eijnden AI4TS 33 17 0 20 Mar 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs S. C. Mouli Danielle C. Maddix S. Alizadeh Gaurav Gupta Andrew Stuart Michael W. Mahoney Yuyang Wang UQCV AI4CE 48 2 0 15 Mar 2024
KARINA: An Efficient Deep Learning Model for Global Weather Forecast Minjong Cheon Yo-Hwan Choi Seon-Yu Kang Yumi Choi Jeong-Gil Lee Daehyun Kang 32 3 0 13 Mar 2024
Global 4D Ionospheric STEC Prediction based on DeepONet for GNSS Rays Dijia Cai Zenghui Shi Haiyang Fu Huan Liu Hongyi Qian Yun Sui Feng Xu Ya-Qiu Jin 21 2 0 12 Mar 2024
Online model error correction with neural networks: application to the Integrated Forecasting System A. Farchi M. Chrust Marc Bocquet Massimo Bonavita 21 0 0 06 Mar 2024
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training Zhongkai Hao Chang Su Songming Liu Julius Berner Chengyang Ying Hang Su A. Anandkumar Jian Song Jun Zhu AI4TS AI4CE 32 22 0 06 Mar 2024
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics Benedikt Barthel Sorensen A. Charalampopoulos Shixuan Zhang B. Harrop Ruby Leung T. Sapsis AI4Cl 18 9 0 28 Feb 2024
Neural Operators with Localized Integral and Differential Kernels Miguel Liu-Schiaffini Julius Berner Boris Bonev Thorsten Kurth Kamyar Azizzadenesheli A. Anandkumar 61 20 0 26 Feb 2024
Building Flexible Machine Learning Models for Scientific Computing at Scale Tianyu Chen Haoyi Zhou Ying Li Hao Wang Chonghan Gao Shanghang Zhang Jianxin Li AI4CE 32 0 0 25 Feb 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen Jialin Song Pu Ren Shashank Subramanian Dmitriy Morozov Michael W. Mahoney AI4CE 52 9 0 24 Feb 2024
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation Ashutosh Singh R. Borsoi Deniz Erdogmus Tales Imbiriba 52 0 0 24 Feb 2024
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization Xiaoyu Xie S. Mowlavi M. Benosman AI4CE 34 1 0 23 Feb 2024
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks Christian Moya Amirhossein Mollaali Zecheng Zhang Lu Lu Guang Lin UQCV 49 18 0 23 Feb 2024
Difference Learning for Air Quality Forecasting Transport Emulation Reed River Chen Christopher Ribaudo Jennifer Sleeman C. Ashcraft Collin Kofroth Marisa Hughes I. Stajner Kevin Viner Kai Wang AI4TS 16 1 0 22 Feb 2024
A Quick Introduction to Quantum Machine Learning for Non-Practitioners Ethan N. Evans Dominic Byrne Matthew G. Cook 32 1 0 22 Feb 2024
The Importance of Architecture Choice in Deep Learning for Climate Applications Simon Dräger Maike Sonnewald AI4CE 38 1 0 21 Feb 2024
Diffeomorphism Neural Operator for various domains and parameters of partial differential equations Zhiwei Zhao Changqing Liu Yingguang Li Zhibin Chen Xu Liu AI4CE MedIm 33 3 0 19 Feb 2024
A novel Fourier neural operator framework for classification of multi-sized images: Application to three dimensional digital porous media Ali Kashefi T. Mukerji AI4CE 43 4 0 18 Feb 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems Da Long Zhitong Xu Qiwei Yuan Yin Yang Shandian Zhe AI4CE 75 5 0 18 Feb 2024
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting Vivek Ramavajjala 35 2 0 14 Feb 2024
Parametric Learning of Time-Advancement Operators for Unstable Flame Evolution Rixin Yu Erdzan Hodzic AI4CE 27 4 0 14 Feb 2024
Advancing Data-driven Weather Forecasting: Time-Sliding Data Augmentation of ERA5 Minjong Cheon Daehyun Kang Yo-Hwan Choi Seon-Yu Kang AI4Cl 26 1 0 13 Feb 2024
Machine Learning for Stochastic Parametrisation Hannah M. Christensen Salah Kouhen Greta Miller R. Parthipan 14 2 0 12 Feb 2024
Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in Canada E. Gultepe Sen Wang Byron Blomquist Harindra J. S. Fernando O. P. Kreidl D. Delene Ismail Gultepe 17 0 0 09 Feb 2024
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur P. Toshev Jonas A. Erbesdobler Nikolaus A. Adams Johannes Brandstetter AI4CE 46 4 0 09 Feb 2024
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting Ziqing Ma Wen-wu Wang Tian Zhou Chao Chen Bingqing Peng Liang Sun Rong Jin 32 2 0 08 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 36 12 0 06 Feb 2024
Weather Prediction with Diffusion Guided by Realistic Forecast Processes Zhanxiang Hua Yutong He Chengqian Ma Alexandra Anderson-Frey DiffM AI4CE 31 7 0 06 Feb 2024
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction Ziqi Ma Kamyar Azizzadenesheli A. Anandkumar 26 6 0 02 Feb 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction Juan Nathaniel Yongquan Qu Tung Nguyen Sungduk Yu Julius J. M. Busecke Aditya Grover Pierre Gentine AI4Cl AI4TS 17 11 0 01 Feb 2024
Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning Buo‐Fu Chen Boyo Chen Chun-Min Hsiao H. Teng Cheng-Shang Lee Hung-Chi Kuo 19 0 0 01 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 77 15 0 30 Jan 2024
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models Fenghua Ling Ouyang Lin Boufeniza Redouane Larbi Jing-Jia Luo Tao Han Xiaohui Zhong Lei Bai AI4Cl AI4CE 17 2 0 30 Jan 2024
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data Young-Jae Park Minseok Seo Do-Yun Kim Hyeri Kim Sanghoon Choi Beomkyu Choi Jeongwon Ryu Sohee Son Hae-Gon Jeon Yeji Choi 31 3 0 28 Jan 2024
A Practical Probabilistic Benchmark for AI Weather Models Noah D. Brenowitz Y. Cohen Jaideep Pathak Ankur Mahesh Boris Bonev Thorsten Kurth Dale Durran Peter Harrington Michael S. Pritchard 44 12 0 27 Jan 2024
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV Florian Achermann Thomas Stastny Bogdan Danciu Andrey Kolobov Jen Jen Chung Roland Siegwart Nicholas R. J. Lawrance 25 2 0 18 Jan 2024
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling Hong Wang Zhongkai Hao Jie Wang Zijie Geng Zhen Wang Bin Li Fengli Wu 16 3 0 17 Jan 2024
DiffDA: a Diffusion Model for Weather-scale Data Assimilation Langwen Huang Lukas Gianinazzi Yuejiang Yu P. Dueben Torsten Hoefler 33 28 0 11 Jan 2024
FourCastNeXt: Optimizing FourCastNet Training for Limited Compute Edison Guo Maruf Ahmed Yue Sun Rui Yang Harrison Cook Tennessee Leeuwenburg Ben Evans 15 1 0 10 Jan 2024
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling Wenyuan Li Zili Liu Keyan Chen Hao Chen Shunlin Liang Zhengxia Zou Z. Shi AI4CE 25 10 0 04 Jan 2024