Zhong Yi Wan

4 papers · 2023–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

NeurIPS (2) ICLR (1) ICML (1)

Top co-authors

Fei Sha (4) Leonardo Zepeda-Núñez (4) Anudhyan Boral (3) Yi-Fan Chen (2) John Anderson (2) Yifan Chen (2) Qing Wang (1) Volodymyr Kuleshov (1) Stephan Hoyer (1) Yair Schiff (1)

Research topics

Machine Learning (4) Mathematics & Optimization (3) Optimization & Theory (3) Deep Learning (2) Optimization (2) Artificial Intelligence (1) Architectures (1) Bayesian & Probabilistic (1) Core Methods (1) Mathematics (1) Models (1)

Keywords

fluid dynamics (2) optimal transport (1) lyapunov exponent (1) latent variable model (1) diffusion model (1) latent dynamical model (1) surrogate model (1) stochastic differential equation (1) statistical downscaling (1) conditional sampling (1) unpaired data (1) invariant measure (1) latent trajectory (1) neural network (1) probistic mapping (1) resolution upsampling (1) turbulence modeling (1) large eddy simulation (1) reduced order modeling (1) advection-dominated system (1)

Papers

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems ICML 2024 Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NeurIPS 2023 Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems ICLR 2023 Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NeurIPS 2023