Title
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 35 11 0 28 Mar 2023
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting H. Naumer F. Kamalabadi 29 0 0 27 Mar 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 36 21 0 25 Mar 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Yike Guo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 32 124 0 18 Mar 2023
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network Min-seok Seo Yeji Choi Hyungon Ry Hee-Jun Park Hyungkun Bae Hyesook Lee Wanseok Seo 28 3 0 08 Mar 2023
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models A. Rybchuk M. Hassanaly N. Hamilton P. Doubrawa Mitchell J. Fulton L. Martínez‐Tossas AI4CE DiffM 38 16 0 01 Mar 2023
Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challenges Qi Liu Zhiyun Yang Ru Ji Yonghong Zhang Muhammad Bilal Xiaodong Liu S. Vimal Xiaolong Xu 23 0 0 20 Feb 2023
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers Steeven Janny Aurélien Béneteau Madiha Nadri Wolf Julie Digne Nicolas Thome Christian Wolf AI4CE 84 32 0 16 Feb 2023
Unsupervised physics-informed neural network in reaction-diffusion biology models (Ulcerative colitis and Crohn's disease cases) A preliminary study A. Rebai Louay Boukhris Radhia Toujani Ahmed Gueddiche Fayad Ali Banna Fares Souissi Ahmed Lasram Elyes Ben Rayana H. Zaag AI4CE PINN 18 1 0 15 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts Huan He Owen Queen Teddy Koker Consuelo Cuevas Theodoros Tsiligkaridis Marinka Zitnik AI4TS 30 62 0 06 Feb 2023
Diffusion Models for High-Resolution Solar Forecasts Yusuke Hatanaka Yannik Glaser Geoff Galgon G. Torri Peter Sadowski DiffM 37 19 0 01 Feb 2023
Improving deep learning precipitation nowcasting by using prior knowledge M. Choma Petr Simánek Jakub Bartel 37 0 0 27 Jan 2023
ClimaX: A foundation model for weather and climate Tung Nguyen Johannes Brandstetter Ashish Kapoor Jayesh K. Gupta Aditya Grover AI4Cl AI4CE 11 246 0 24 Jan 2023
Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis Julian Schon Raghavendra Selvan Lotte Nygaard I. Vogelius Jens Petersen MedIm 16 4 0 13 Jan 2023
Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor Transform J. Mailoa Zhaofeng Ye J. Qiu Chang-Yu Hsieh Shengyu Zhang 38 3 0 03 Jan 2023
GraphCast: Learning skillful medium-range global weather forecasting Rémi R. Lam Alvaro Sanchez-Gonzalez Matthew Willson Peter Wirnsberger Meire Fortunato ... Oriol Vinyals Jacklynn Stott Alexander Pritzel S. Mohamed Peter W. Battaglia AI4Cl 23 277 0 24 Dec 2022
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge Ricards Marcinkevics Ece Ozkan Julia E. Vogt OOD LM&MA FedML 29 2 0 23 Dec 2022
Deep learning for bias-correcting CMIP6-class Earth system models P. Hess S. Lange Christof Schötz Niklas Boers AI4Cl 35 12 0 16 Dec 2022
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 41 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 30 10 0 06 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 26 19 0 05 Dec 2022
Solving the Weather4cast Challenge via Visual Transformers for 3D Images Yury Belousov Sergey Polezhaev Brian Pulfer 18 3 0 05 Dec 2022
Machine learning emulation of a local-scale UK climate model Henry Addison Elizabeth Kendon Suman V. Ravuri Laurence Aitchison Peter A. G. Watson AI4Cl AI4CE 20 23 0 29 Nov 2022
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting Jaeho Choi Yura Kim Kwang-Ho Kim Sung-Hwa Jung Ikhyun Cho 30 2 0 28 Nov 2022
Spatial Mixture-of-Experts Nikoli Dryden Torsten Hoefler MoE 38 9 0 24 Nov 2022
Environmental Sensor Placement with Convolutional Gaussian Neural Processes Tom R. Andersson W. Bruinsma Stratis Markou James Requeima Alejandro Coca-Castro ... A. Ellis M. Lazzara Daniel P. Jones Scott Hosking Richard Turner 25 13 0 18 Nov 2022
What Images are More Memorable to Machines? Junlin Han Huangying Zhan Jie Hong Pengfei Fang Hongdong Li L. Petersson Ian Reid 38 3 0 14 Nov 2022
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast Kaifeng Bi Lingxi Xie Hengheng Zhang Xin Chen Xiaotao Gu Qi Tian AI4Cl 28 158 0 03 Nov 2022
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning Randy J. Chase David R. Harrison G. Lackmann A. McGovern 22 14 0 31 Oct 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors Kristy Choi Chris Cundy Sanjari Srivastava Stefano Ermon BDL 58 39 0 22 Oct 2022
Generative Modeling of High-resolution Global Precipitation Forecasts James Duncan Shashank Subramanian P. Harrington AI4Cl 36 5 0 22 Oct 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 38 2 0 22 Oct 2022
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data Jihoon Ko Kyuhan Lee Hyunjin Hwang Kijung Shin 39 3 0 20 Oct 2022
Inference from Real-World Sparse Measurements Arnaud Pannatier Kyle Matoba François Fleuret AI4TS 28 0 0 20 Oct 2022
Bridging the Gap between Artificial Intelligence and Artificial General Intelligence: A Ten Commandment Framework for Human-Like Intelligence Ananta Nair F. Kashani 34 2 0 17 Oct 2022
Spectral Diffusion Processes Angus Phillips Thomas Seror M. Hutchinson Valentin De Bortoli Arnaud Doucet Emile Mathieu DiffM 69 15 0 28 Sep 2022
Generative machine learning methods for multivariate ensemble post-processing Jieyu Chen Tim Janke Florian Steinke Sebastian Lerch 32 25 0 26 Sep 2022
Meteorological Satellite Images Prediction Based on Deep Multi-scales Extrapolation Fusion Fang Huang Wencong Cheng Pan Wang Zhigang Wang Hong He 11 1 0 19 Sep 2022
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting Alabi Bojesomo Hasan Al-Marzouqi P. Liatsis 19 9 0 02 Aug 2022
Developing a Series of AI Challenges for the United States Department of the Air Force V. Gadepally Greg Angelides Andrei Barbu Andrew Bowne L. Brattain ... Mark S. Veillette Matthew L. Weiss Allan B. Wollaber S. Yuditskaya J. Kepner AI4CE 25 5 0 14 Jul 2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting Zhihan Gao Xingjian Shi Hao Wang Yi Zhu Yuyang Wang Mu Li Dit-Yan Yeung AI4TS 45 150 0 12 Jul 2022
Markovian Gaussian Process Variational Autoencoders Harrison Zhu Carles Balsells Rodas Yingzhen Li BDL AI4TS 46 14 0 12 Jul 2022
Accelerating Material Design with the Generative Toolkit for Scientific Discovery Matteo Manica Jannis Born Joris Cadow Dimitrios Christofidellis A. Dave ... Lauren N. McHugh Alexy Khrabrov Payel Das Seiji Takeda John Smith 22 26 0 08 Jul 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction Taehyeon Kim Namgyu Ho Donggyu Kim Se-Young Yun BDL 20 6 0 30 Jun 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 35 37 0 29 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 47 272 0 17 Jun 2022
AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility Marc Brittain Luis E. Alvarez Kara Breeden Ian Jessen 28 8 0 09 Jun 2022
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning Zhifeng Ma Hao Zhang Jie Liu HAI AI4CE 30 12 0 07 Jun 2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation Yuan Hu Lei Chen Zhibin Wang Hao Li OOD 31 48 0 26 May 2022
Global Extreme Heat Forecasting Using Neural Weather Models I. Lopez‐Gomez A. McGovern Shreya Agrawal Jason Hickey AI4Cl 35 36 0 23 May 2022