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.
Research Areas
Authored Publications
Sort By
Google
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff
Jeff Parker
Volodymyr Kuleshov
International Conference on Machine Learning (ICML) (2024)
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)
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Anudhyan Boral
International Conference on Learning Representations (ICLR) (2023)
