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Leonardo Zepeda-Núñez

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

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Feb 06, 2024
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User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

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Jun 13, 2023
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Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations

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Jun 01, 2023
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Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

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May 24, 2023
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Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems

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Jan 26, 2023
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Learning to correct spectral methods for simulating turbulent flows

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Jul 01, 2022
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Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime

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Jun 02, 2021
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Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks

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Nov 24, 2020
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Efficient Long-Range Convolutions for Point Clouds

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Oct 11, 2020
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Learning the mapping $\mathbf{x}\mapsto \sum_{i=1}^d x_i^2$: the cost of finding the needle in a haystack

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Feb 24, 2020
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