Title
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation Yaozhong Shi Grigorios Lavrentiadis D. Asimaki Zachary E. Ross Kamyar Azizzadenesheli 20 11 0 07 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 34 131 0 01 Sep 2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models S. Rasp Stephan Hoyer Alexander Merose I. Langmore Peter W. Battaglia ... Carla Bromberg Jared Sisk Luke Barrington Aaron Bell Fei Sha AI4Cl 43 107 0 29 Aug 2023
Lie-Poisson Neural Networks (LPNets): Data-Based Computing of Hamiltonian Systems with Symmetries Christopher Eldred François Gay-Balmaz Sofiia Huraka V. Putkaradze 27 8 0 29 Aug 2023
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning C. Lessig Ilaria Luise Bing Gong M. Langguth S. Stadtler Martin G. Schultz 15 29 0 25 Aug 2023
Evaluation of Deep Neural Operator Models toward Ocean Forecasting Ellery Rajagopal Anantha N.S. Babu Tony Ryu P. Haley C. Mirabito Pierre FJ Lermusiaux AI4Cl AI4CE 22 1 0 22 Aug 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources J. Willard C. Varadharajan X. Jia Vipin Kumar AI4TS 25 3 0 18 Aug 2023
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces Miguel Liu-Schiaffini C. Singer Nikola B. Kovachki T. Schneider Kamyar Azizzadenesheli Anima Anandkumar 29 4 0 17 Aug 2023
An Expert's Guide to Training Physics-informed Neural Networks Sizhuang He Shyam Sankaran Hanwen Wang P. Perdikaris PINN 28 99 0 16 Aug 2023
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 38 18 0 13 Aug 2023
Size Lowerbounds for Deep Operator Networks Anirbit Mukherjee Amartya Roy AI4CE 27 3 0 11 Aug 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers Phillip Lippe Bastiaan S. Veeling P. Perdikaris Richard Turner Johannes Brandstetter DiffM AI4CE 33 77 0 10 Aug 2023
Fourier neural operator for real-time simulation of 3D dynamic urban microclimate W. Peng Shaoxiang Qin Senwen Yang Jianchun Wang Xue Liu Lei Wang AI4CE 18 30 0 08 Aug 2023
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data Wencong Cheng Yangtian Yan Jiangjiang Xia Qi Liu Chang Qu Zhigang Wang 26 5 0 07 Aug 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 32 19 0 06 Aug 2023
Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point Clouds Héctor Andrade-Loarca Aras Bacho J. Hege Gitta Kutyniok 36 1 0 03 Aug 2023
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators Renbo Tu Colin White Jean Kossaifi Boris Bonev Nikola B. Kovachki Gennady Pekhimenko Kamyar Azizzadenesheli Anima Anandkumar 23 11 0 27 Jul 2023
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning Sheikh Md Shakeel Hassan Arthur Feeney A. Dhruv Jih-Woon Kim Youngjoon Suh Jaiyoung Ryu Y. Won Aparna Chandramowlishwaran AI4CE 22 10 0 27 Jul 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 35 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 43 56 0 19 Jul 2023
Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO) O. Ovadia Vivek Oommen Adar Kahana Ahmad Peyvan Eli Turkel George Karniadakis AI4CE 42 13 0 18 Jul 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling Tung Nguyen Jason Jewik Hritik Bansal Prakhar Sharma Aditya Grover AI4Cl AI4CE 36 29 0 04 Jul 2023
FuXi: A cascade machine learning forecasting system for 15-day global weather forecast Lei Chen Xiaohui Zhong Feng-jun Zhang Yuan Cheng Yinghui Xu Yuan Qi Hao Li AI4Cl 28 205 0 22 Jun 2023
Neuro-Symbolic Bi-Directional Translation -- Deep Learning Explainability for Climate Tipping Point Research C. Ashcraft Jennifer Sleeman Caroline Tang Jay Brett A. Gnanadesikan 21 1 0 19 Jun 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 44 17 0 18 Jun 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations Jacob Helwig Xuan Zhang Cong Fu Jerry Kurtin Stephan Wojtowytsch Shuiwang Ji AI4CE 58 28 0 09 Jun 2023
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere Boris Bonev Thorsten Kurth Christian Hundt Jaideep Pathak Maximilian Baust K. Kashinath Anima Anandkumar AI4Cl AI4CE 18 123 0 06 Jun 2023
Deep Learning for Day Forecasts from Sparse Observations Marcin Andrychowicz L. Espeholt Di Li Samier Merchant Alexander Merose Fred Zyda Shreya Agrawal Nal Kalchbrenner AI4Cl 31 63 0 06 Jun 2023
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting Lei Chen Fei Du Yuan Hu Fanhai Wang Zhibin Wang DiffM 23 45 0 05 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 28 57 0 03 Jun 2023
Training neural operators to preserve invariant measures of chaotic attractors Ruoxi Jiang Peter Y. Lu Elena Orlova Rebecca Willett AI4TS 27 22 0 01 Jun 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral Z. Y. Wan Leonardo Zepeda-Núñez James Lottes Qing Wang Yi-fan Chen John R. Anderson Fei Sha AI4CE PINN 29 11 0 01 Jun 2023
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Oussama Boussif Ghait Boukachab D. Assouline Stefano Massaroli T. Yuan L. Benabbou Yoshua Bengio 17 13 0 01 Jun 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian P. Harrington Kurt Keutzer W. Bhimji Dmitriy Morozov Michael W. Mahoney A. Gholami AI4CE 28 71 0 01 Jun 2023
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains Levi E. Lingsch M. Michelis Emmanuel de Bezenac Sirani M. Perera Robert K. Katzschmann Siddartha Mishra 32 7 0 31 May 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 35 67 0 27 May 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data Svenja Ehlers Marco Klein Alexander Heinlein Mathies Wedler Nicolas Desmars Norbert Hoffmann M. Stender AI4Cl 40 2 0 18 May 2023
LatentPINNs: Generative physics-informed neural networks via a latent representation learning M. H. Taufik T. Alkhalifah AI4CE DiffM 49 4 0 11 May 2023
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence T. A. Smith S. Penny Jason A. Platt Tse-Chun Chen 22 5 0 28 Apr 2023
Verification against in-situ observations for Data-Driven Weather Prediction Vivek Ramavajjala Peetak Mitra 13 4 0 28 Apr 2023
Nonlocality and Nonlinearity Implies Universality in Operator Learning S. Lanthaler Zong-Yi Li Andrew M. Stuart 26 16 0 26 Apr 2023
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification J. Leinonen U. Hamann D. Nerini U. Germann Gabriele Franch DiffM 28 54 0 25 Apr 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 36 5 0 24 Apr 2023
Towards replacing precipitation ensemble predictions systems using machine learning Rudiger Brecht Alexander Bihlo AI4Cl 26 0 0 20 Apr 2023
M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts Rudiger Brecht Alexander Bihlo 29 4 0 18 Apr 2023
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting Xin Man Chenghong Zhang Jin Feng Changyu Li Jie Shao AI4Cl 50 25 0 18 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 43 5 0 06 Apr 2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead Kan Chen Tao Han Junchao Gong Lei Bai Fenghua Ling ... Rui Su Yuanzheng Ci Bin Li Xiaokang Yang Wanli Ouyang AI4Cl AI4CE 31 173 0 06 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 30 11 0 28 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 20 3 0 08 Mar 2023