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Thorsten Kurth

  1. FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
    2022/02/22 by Jaideep Pathak, Pathak, Jaideep, Shashank Subramanian +23 · 3 voices · 135 citations
    Earth and Planetary Sciences · Engineering · Environmental Science · #Meteorological Phenomena and Simulations #Energy Load and Power Forecasting #Hydrological Forecasting Using AI
  2. Idealized Baroclinic Wave Test Results
    2023/06/06 by Boris Bonev, Thorsten Kurth, Bonev, Boris +11 · 44 citations
    Computer Science · Earth and Planetary Sciences · #Computational Physics and Python Applications #Meteorological Phenomena and Simulations #Neural Networks and Applications
  3. FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
    2022/08/08 by Thorsten Kurth, Kurth, Thorsten, Shashank Subramanian +15 · 35 citations
    Earth and Planetary Sciences · Environmental Science · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Performance (cs.PF) #Precipitation Measurement and Analysis #Soil Moisture and Remote Sensing
  4. Neural Operators with Localized Integral and Differential Kernels
    2024/02/26 by Miguel Liu-Schiaffini, Liu-Schiaffini, Miguel, Julius Berner +9 · 17 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
  5. MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
    2021/10/21 by Steven Farrell, Farrell, Steven, Murali Emani +83 · 6 citations
    Computer Science · #Advanced Data Storage Technologies #Advanced Neural Network Applications #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  6. Hierarchical Roofline Performance Analysis for Deep Learning Applications
    2020/09/11 by Charlene Yang, Yunsong Wang, Yang, Charlene +7 · 4 citations
    Computer Science · #Parallel Computing and Optimization Techniques #Advanced Data Storage Technologies #Advanced Neural Network Applications
  7. Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
    2024/08/02 by Ankur Mahesh, William D. Collins, Mahesh, Ankur +26 · 6 citations
    Computer Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  8. Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
    2024/06/12 by Chenggong Wang, Wang, Chenggong, Michael S. Pritchard +13 · 5 citations
    Computer Science · Earth and Planetary Sciences · #Advanced Computational Techniques and Applications #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Oceanographic and Atmospheric Processes
  9. Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators
    2024/08/06 by Ankur Mahesh, William D. Collins, Mahesh, Ankur +27 · 5 citations
    Earth and Planetary Sciences · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
  10. Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
    2020/09/30 by Jaideep Pathak, Pathak, Jaideep, Mustafa Mustafa +9 · 2 citations
    Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Fluid Dynamics and Turbulent Flows
  11. An accurate calculation of the nucleon axial charge with lattice QCD
    2017/04/04 by Evan Berkowitz, Berkowitz, Evan, David Brantley +27 · 2 citations
    Physics and Astronomy · #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions #High-Energy Particle Collisions Research
  12. Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
    2019/10/29 by Liu Yang, Yang, Liu, Sean Treichler +18 · 3 citations
    Physics and Astronomy · Decision Sciences · Computer Science · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Gaussian Processes and Bayesian Inference
  13. Coarse Graining with Neural Operators for Simulating Chaotic Systems
    2024/08/09 by Chuwei Wang, Boris Bonev, Wang, Chuwei +13 · 3 citations
    #cs.LG
  14. Time-Based Roofline for Deep Learning Performance Analysis
    2020/09/09 by Yunsong Wang, Charlene Yang, Wang, Yunsong +9 · 1 citation
    Computer Science · #Advanced Data Storage Technologies #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel #Parallel Computing and Optimization Techniques #Performance (cs.PF) #and Cluster Computing (cs.DC)
  15. Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts
    2024/10/24 by Jussi Leinonen, Leinonen, Jussi, Boris Bonev +5 · 2 citations
    Earth and Planetary Sciences · Computer Science · Mathematics · #Meteorological Phenomena and Simulations #Image and Signal Denoising Methods #Statistical and numerical algorithms
  16. Anomalous Diffusion of Tropical Cyclones Observed in Huge Ensembles of Hindcasts
    2026/07/24 by Abdoul R. Zeba, William D. Collins, Ankur Mahesh +5
    #physics.ao-ph