Title
Mjölnir: A Deep Learning Parametrization Framework for Global Lightning Flash Density Minjong Cheon 33 0 0 28 Apr 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data Siddharth Rout Eldad Haber Stéphane Gaudreault AI4TS AI4CE 55 0 0 15 Mar 2025
Heterogeneous graph neural networks for species distribution modeling Lauren Harrell Christine Kaeser-Chen Burcu Karagol Ayan Keith Anderson Michelangelo Conserva Elise Kleeman Maxim Neumann Matt Overlan Melissa Chapman Drew Purves 46 0 0 14 Mar 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 75 3 0 20 Feb 2025
Multi-Source Temporal Attention Network for Precipitation Nowcasting Rafael Pablos-Sarabia Joachim Nyborg Morten Birk Jeppe Liborius Sjørup Anders Lillevang Vesterholt Ira Assent AI4Cl 28 0 0 11 Oct 2024
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data Matthew Ashman Cristiana-Diana Diaconu Eric Langezaal Adrian Weller Richard E. Turner AI4TS 36 1 0 09 Oct 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 36 0 0 04 Oct 2024
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
Prithvi WxC: Foundation Model for Weather and Climate J. Schmude Sujit Roy Will Trojak Johannes Jakubik Daniel Salles Civitarese ... Campbell Watson M. Maskey Tsengdar J Lee Juan Bernabé-Moreno Rahul Ramachandran VLM AI4Cl 24 10 0 20 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks Shivam Barwey Pinaki Pal Saumil Patel Riccardo Balin Bethany Lusch V. Vishwanath R. Maulik R. Balakrishnan AI4CE 99 0 0 12 Sep 2024
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations Sheel Nidhan Haoliang Jiang Lalit Ghule C. Umphrey Rishikesh Ranade Jay Pathak AI4CE 34 0 0 26 Aug 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 33 0 0 04 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 28 0 0 31 Jul 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics Matthias Karlbauer Danielle C. Maddix Abdul Fatir Ansari Boran Han Gaurav Gupta Yuyang Wang Andrew Stuart Michael W. Mahoney AI4TS 42 1 0 19 Jul 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales Peter Manshausen Y. Cohen Jaideep Pathak Jaideep Pathak Piyush Garg Morteza Mardani K. Kashinath Simon Byrne Noah D. Brenowitz Noah Brenowitz 45 9 0 19 Jun 2024
OceanCastNet: A Deep Learning Ocean Wave Model with Energy Conservation Ziliang Zhang Huaming Yu Danqin Ren PINN AI4Cl 41 1 0 06 Jun 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 35 8 0 19 Feb 2024
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 32 3 0 05 Feb 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 10 2 0 18 Jan 2024
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 29 1 0 05 Dec 2023
Learning to forecast diagnostic parameters using pre-trained weather embedding Peetak Mitra Vivek Ramavajjala 22 1 0 01 Dec 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 31 116 0 16 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 18 9 0 08 Oct 2023
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting Elin Törnquist Wagner Costa Santos Timothy C. Pogue Nicholas Wingle R. Caulk AI4TS 20 0 0 26 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh Matthias Karlbauer Nathaniel Cresswell-Clay Dale Durran Raul A Moreno Thorsten Kurth Boris Bonev Noah D. Brenowitz Martin Volker Butz MDE 15 18 0 11 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs Zong-Yi Li Nikola B. Kovachki Chris Choy Boyi Li Jean Kossaifi ... M. A. Nabian Maximilian Stadler Christian Hundt Kamyar Azizzadenesheli Anima Anandkumar AI4CE 23 127 0 01 Sep 2023
AI-GOMS: Large AI-Driven Global Ocean Modeling System Wei Xiong Yanfei Xiang Hao Wu Shuyi Zhou Yuze Sun Muyuan Ma Xiaomeng Huang AI4Cl AI4CE 16 18 0 06 Aug 2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators Xiang Huang Zhuoyuan Li Hongsheng Liu Zidong Wang Hongye Zhou Bin Dong Bei Hua AI4TS AI4CE 19 1 0 26 Jul 2023
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 23 54 0 19 Jul 2023
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks Jason A. Platt S. Penny T. A. Smith Tse-Chun Chen H. Abarbanel AI4TS 21 5 0 24 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 31 4 0 06 Apr 2023
Global Extreme Heat Forecasting Using Neural Weather Models I. Lopez‐Gomez A. McGovern Shreya Agrawal Jason Hickey AI4Cl 27 34 0 23 May 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics Sebastian Hoffmann C. Lessig AI4Cl 24 8 0 02 Feb 2022
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 2,272 0 18 Oct 2020
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 214 268 0 24 Mar 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 419 0 10 Mar 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016