Wan, Zhong Yi
- Generative AI for fast and accurate statistical computation of fluids
2024/09/27 by Roberto Molinaro, Molinaro, Roberto, Samuel Lanthaler +22 · 1 voice · 12 citations
Computer Science · Engineering · Physics and Astronomy · #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods #Time Series Analysis and Forecasting #cs.LG #math.NA #physics.flu-dyn
- Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations
2023/06/01 by Anudhyan Boral, Zhong Wan, Boral, Anudhyan +13 · 6 citations
Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
2023/05/24 by Zhong Wan, Wan, Zhong Yi, Ricardo Baptista +11 · 6 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · #Advanced Mathematical Modeling in Engineering #Applied Physics (physics.app-ph) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
2024/02/06 by Schiff, Yair, Wan, Zhong Yi, Parker, Jeffrey B. +4 · 4 citations
#Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG)
- Dynamical-generative downscaling of climate model ensembles
2024/10/02 by Ignacio Lopez‐Gomez, Lopez-Gomez, Ignacio, Zhong Wan +9 · 5 citations
Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Ecosystem dynamics and resilience #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
2023/01/25 by Zhong Wan, Wan, Zhong Yi, Leonardo Zepeda-Núñez +5 · 1 citation
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
- Regional climate risk assessment from climate models using probabilistic machine learning
2024/12/11 by Zhong Wan, Zhong Yi Wan, Ignacio Lopez‐Gomez +15 · 1 voice · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #cs.LG #math.NA #physics.ao-ph
- A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data
2024/08/02 by Sorensen, Benedikt Barthel, Zepeda-Núñez, Leonardo, Lopez-Gomez, Ignacio +4 · 1 citation
#Atmospheric and Oceanic Physics (physics.ao-ph) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)