Zhong Yi Wan

According to our database, Zhong Yi Wan authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generative AI for fast and accurate Statistical Computation of Fluids.

Roberto Molinaro, Samuel Lanthaler, Bogdan Raonic, Tobias Rohner, Victor Armegioiu, Zhong Yi Wan, Fei Sha, Siddhartha Mishra, Leonardo Zepeda-Núñez

CoRR, 2024

A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data.

Benedikt Barthel Sorensen, Leonardo Zepeda-Núñez, Ignacio Lopez-Gomez, Zhong Yi Wan, Rob Carver, Fei Sha, Themistoklis P. Sapsis

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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 Robert Anderson, Fei Sha

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems.

Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral, Fei Sha

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets.

Zhong Yi Wan, Boyko A. Dodov, Christian Lessig, Henk Dijkstra, Themistoklis P. Sapsis

J. Comput. Phys., 2021

2018

Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks.

Pantelis-Rafail Vlachas, Wonmin Byeon, Zhong Yi Wan, Themistoklis P. Sapsis, Petros Koumoutsakos

CoRR, 2018