Zepeda-Nunez, Leonardo

6 publications

ICML 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez

NeurIPS 2023 Debias Coarsely, Sample Conditionally: Statistical Downscaling Through Optimal Transport and Probabilistic Diffusion Models Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez

ICLR 2023 Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics for Advection-Dominated Systems Zhong Yi Wan, Leonardo Zepeda-Nunez, Anudhyan Boral, Fei Sha

TMLR 2023 Learning to Correct Spectral Methods for Simulating Turbulent Flows Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo Zepeda-Nunez, Jamie Smith, Michael Brenner, Stephan Hoyer

NeurIPS 2023 Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Anderson, Fei Sha

ICML 2023 User-Defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Nunez