Publications

Publications are listed in reverse chronological order (most recent first). The most recent work is often on Google Scholar.

2026

  1. bonev2025attention.png
    Attention on the Sphere
    Boris Bonev, Max Rietmann, Andrea Paris, and 2 more authors
    Advances in Neural Information Processing Systems, 2026
    HTMLPDF
  2. kossaifi2026demystifying.png
    Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
    Jean Kossaifi, Nikola Kovachki, Morteza Mardani, and 15 more authors
    2026
    arXiv preprint arXiv:2601.18111
    arXiv HTMLPDF
  3. leonardi2026mara.png
    MARA: Continuous SE(3)-Equivariant Attention for Molecular Force Fields
    Francesco Leonardi, Boris Bonev, and Kaspar Riesen
    2026
    arXiv preprint arXiv:2602.02671
    arXiv HTMLPDF
  4. mahesh2026radiative.png
    Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
    Ankur Mahesh, William D. Collins, Travis A. O’Brien, and 8 more authors
    2026
    arXiv preprint arXiv:2602.16090
    arXiv HTMLPDF
  5. maggi2026sinr.png
    SINR Estimation under Limited Feedback via Online Convex Optimization
    Lorenzo Maggi, Boris Bonev, Reinhard Wiesmayr, and 2 more authors
    2026
    arXiv preprint arXiv:2603.02061
    arXiv HTMLPDF
  6. risser2026surface.png
    Surface temperature extremes produced by huge machine learning hindcasts of summer 2023
    Mark Risser, Ankur Mahesh, Joshua North, and 6 more authors
    2026
    arXiv preprint arXiv:2604.09754
    arXiv HTMLPDF

2025

  1. mahesh2025huge1.png
    Huge ensembles–Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators
    Ankur Mahesh, William D. Collins, Boris Bonev, and 5 more authors
    Geoscientific Model Development, 2025
    HTMLPDF
  2. mahesh2025huge2.png
    Huge ensembles–Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators
    Ankur Mahesh, William D. Collins, Boris Bonev, and 5 more authors
    Geoscientific Model Development, 2025
    HTMLPDF
  3. brenowitz2025prob.png
    A practical probabilistic benchmark for AI weather models
    Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, and 6 more authors
    Geophysical Research Letters, 2025
    HTMLPDF
  4. Huge Ensembles Heatwave Forecasting over North Africa: Case Study of 3 Low-Likelihood, High-Impact Events
    Kwesi T. Quagraine, William D. Collins, Ankur Mahesh, and 5 more authors
    2025
    HTMLPDF
  5. bonev2025fourcastnet3.png
    FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
    Boris Bonev, Thorsten Kurth, Ankur Mahesh, and 7 more authors
    2025
    arXiv preprint arXiv:2507.12144
    arXiv HTMLPDF Code
  6. wang2025photoacoustic.png
    Accelerating 3D Photoacoustic Computed Tomography with End-to-End Physics-Aware Neural Operators
    Jipeng Wang, Youssef Aborahama, Abdullah Khokhar, and 8 more authors
    2025
    arXiv preprint arXiv:2509.09894
    arXiv HTMLPDF
  7. dai2025solar.png
    Data-driven solar forecasting enables near-optimal economic decisions
    Zhaoyang Dai, Mingxi Yin, Xinyi Chen, and 8 more authors
    2025
    arXiv preprint arXiv:2509.06925
    arXiv HTMLPDF
  8. berner2025principled.png
    Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
    Julius Berner, Miguel Liu-Schiaffini, Jean Kossaifi, and 4 more authors
    2025
    arXiv preprint arXiv:2506.10973
    arXiv HTMLPDF

2024

  1. liu2024localno.png
    Neural Operators with Localized Integral and Differential Kernels
    Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, and 3 more authors
    In International Conference on Machine Learning, 2024
    HTMLPDF
  2. duncan2024ai2.png
    Application of the AI2 Climate Emulator to E3SMv2’s global atmosphere model, with a focus on precipitation fidelity
    James PC Duncan, Emily Wu, Jean-Christophe Golaz, and 5 more authors
    Journal of Geophysical Research: Machine Learning and Computation, 2024
    HTMLPDF
  3. tu2024mixed.png
    Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
    Renbo Tu, Colin White, Jean Kossaifi, and 4 more authors
    In International Conference on Learning Representations, 2024
    HTMLPDF
  4. rahman2024coda.png
    Pretraining codomain attention neural operators for solving multiphysics PDEs
    Md Ashiqur Rahman, Robert Joseph George, Manal Elleithy, and 8 more authors
    Advances in Neural Information Processing Systems, 2024
    arXiv HTMLPDF
  5. karlbauer2024healpix.png
    Advancing parsimonious deep learning weather prediction using the HEALPix mesh
    Matthias Karlbauer, Noah Cresswell-Clay, Dale R. Durran, and 5 more authors
    Journal of Advances in Modeling Earth Systems, 2024
    arXiv HTMLPDF
  6. kossaifi2024neuraloperator.png
    A library for learning neural operators
    Jean Kossaifi, Nikola Kovachki, Zongyi Li, and 5 more authors
    2024
    arXiv preprint arXiv:2412.10354
    arXiv HTMLPDF
  7. carpentieri2024solar.png
    Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale
    Alberto Carpentieri, Jussi Leinonen, James Adie, and 3 more authors
    2024
    arXiv preprint arXiv:2411.08843
    arXiv HTMLPDF
  8. leinonen2024mafno.png
    Modulated adaptive fourier neural operators for temporal interpolation of weather forecasts
    Jussi Leinonen, Boris Bonev, Thorsten Kurth, and 1 more author
    2024
    arXiv preprint arXiv:2410.18904
    arXiv HTMLPDF
  9. siddiqui2024design.png
    Exploring the design space of deep-learning-based weather forecasting systems
    Shoaib Ahmed Siddiqui, Jean Kossaifi, Boris Bonev, and 4 more authors
    2024
    arXiv preprint arXiv:2410.07472
    arXiv HTMLPDF
  10. wang2024coupled.png
    Coupled ocean-atmosphere dynamics in a machine learning earth system model
    Chen Wang, Michael S. Pritchard, Noah D. Brenowitz, and 5 more authors
    2024
    arXiv preprint arXiv:2406.08632
    arXiv HTMLPDF

2023

  1. bonev2023sfno.png
    Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
    Boris Bonev, Thorsten Kurth, Christian Hundt, and 4 more authors
    In International Conference on Machine Learning, 2023
    HTMLPDF Code
  2. wattmeyer2023ace.png
    ACE: A fast, skillful learned global atmospheric model for climate prediction
    Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, and 5 more authors
    2023
    arXiv preprint arXiv:2310.02074
    arXiv HTMLPDF

2022

  1. bonev2022hprecon.png
    A hierarchical preconditioner for wave problems in quasilinear complexity
    Boris Bonev, and Jan S. Hesthaven
    SIAM Journal on Scientific Computing, 2022
    arXiv HTMLPDF

2021

  1. bonev2021thesis.png
    Efficient algorithms for wave problems
    Boris Bonev
    EPFL, Applied Mathematics, 2021
    HTMLPDF

2019

  1. hajihassanpour2019tsunami.png
    A comparative study of earthquake source models in high-order accurate tsunami simulations
    Mahya Hajihassanpour, Boris Bonev, and Jan S. Hesthaven
    Ocean Modelling, 2019
    HTMLPDF

2018

  1. bonev2018dg.png
    Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and prediction
    Boris Bonev, Jan S. Hesthaven, Francis X. Giraldo, and 1 more author
    Journal of Computational Physics, 2018
    HTMLPDF

2017

  1. prantl2017liquid.png
    Generating Liquid Simulations with Deformation-aware Neural Networks
    Lukas Prantl, Boris Bonev, and Nils Thuerey
    In International Conference on Learning Representations, 2017
    HTMLPDF