Zhong Yi Wan
Zhong Yi Wan is a research scientist at Google Research. He obtained his PhD degree in computational engineering from MIT at 2020. His research specialization is dynamical system and generative modeling for scientific applications.
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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)
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Anudhyan Boral
International Conference on Learning Representations (ICLR) (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)
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)
