Zhong Yi Wan
Orcid: 0000-0001-7264-3628
According to our database1,
Zhong Yi Wan
authored at least 12 papers
between 2018 and 2024.
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Bibliography
2024
Statistical Downscaling via High-Dimensional Distribution Matching with Generative Models.
CoRR, 2024
Diff4Steer: Steerable Diffusion Prior for Generative Music Retrieval with Semantic Guidance.
CoRR, 2024
A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations.
CoRR, 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models.
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.
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.
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.
J. Comput. Phys., 2021
2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks.
CoRR, 2018