Leonardo Zepeda-Núñez

Leonardo Zepeda-Núñez

I'm a research scientist at Google Research working on Scientific Machine Learning with a focus on time-dependent physical systems with downstream applications to weather and climate. Before joining Google I was an assistant professor of mathematics at the University of Wisconsin-Madison. I hold a Ph.D. in Mathematics from MIT and I'm an alumni École Polytechnique. For more details see my homepage.
Authored Publications
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    DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
    Yair Schiff
    Jeff Parker
    Volodymyr Kuleshov
    International Conference on Machine Learning (ICML) (2024)
    Solving the wide-band inverse scattering problem via equivariant neural networks
    Borong Zhang
    Qin Li
    Journal of Computational and Applied Mathematics (2024)
    Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
    Anudhyan Boral
    James Lottes
    Yi-fan Chen
    John Anderson
    Advances in Neural Information Processing Systems (NeurIPS) 36 (2023)
    Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
    Ricardo Baptista
    Yi-fan Chen
    John Anderson
    Anudhyan Boral
    Advances in Neural Information Processing Systems (NeurIPS) 36 (2023)