vix.ing · top · new · best · stats · spec

Boris Bonev

  1. 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
  2. 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)
  3. ACE: A fast, skillful learned global atmospheric model for climate prediction
    2023/10/03 by Oliver Watt‐Meyer, Gideon Dresdner, Watt-Meyer, Oliver +21 · 11 citations
    Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
  4. Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
    2024/03/19 by Md Ashiqur Rahman, Rahman, Md Ashiqur, Robert Joseph George +21 · 12 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  5. A Library for Learning Neural Operators
    2024/12/13 by Jean Kossaifi, Kossaifi, Jean, Nikola Kovachki +17 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  6. Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
    2024/08/02 by Ankur Mahesh, Mahesh, Ankur, William D. Collins +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)
  7. Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
    2024/06/12 by Chenggong Wang, Michael S. Pritchard, Wang, Chenggong +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
  8. 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
  9. Coarse Graining with Neural Operators for Simulating Chaotic Systems
    2024/08/09 by Chuwei Wang, Boris Bonev, Wang, Chuwei +13 · 3 citations
    #cs.LG
  10. 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
  11. 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