All Stories

  1. In-context operator learning with data prompts for differential equation problems

    Article • Proceedings of the National Academy of Sciences, September 2023, Proceedings of the National Academy of Sciences

    Stanley Osher

  2. A Hamilton–Jacobi-based proximal operator

    Article • Proceedings of the National Academy of Sciences, March 2023, Proceedings of the National Academy of Sciences

    Stanley Osher

  3. Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games

    Article • Proceedings of the National Academy of Sciences, July 2021, Proceedings of the National Academy of Sciences

    Stanley Osher

  4. Noise attenuation in a low-dimensional manifold

    Article • Geophysics, September 2017, Society of Exploration Geophysicists

    Stanley Osher

  5. Monte Carlo data-driven tight frame for seismic data recovery

    Article • Geophysics, July 2016, Society of Exploration Geophysicists

    Stanley Osher