Daniel Zhengyu Huang
- Iterated Kalman Methodology For Inverse Problems
2021/02/02 by Daniel Zhengyu Huang, Huang, Daniel Zhengyu, Tapio Schneider +3 · 6 citations
Mathematics · Physics and Astronomy · #Statistical and numerical algorithms #Scientific Research and Discoveries
- AI-aided Geometric Design of Anti-infection Catheters
2023/04/27 by Tingtao Zhou, Xuan Wan, Zhou, Tingtao +15 · 6 citations
Medicine · #Biological Physics (physics.bio-ph) #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Medical Physics (physics.med-ph) #Soft Condensed Matter (cond-mat.soft) #Urinary Bladder and Prostate Research #Urinary Tract Infections Management
- Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems
2022/04/09 by Daniel Zhengyu Huang, Jiaoyang Huang, Huang, Daniel Zhengyu +4 · 4 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA)
- Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries
2025/01/24 by Chenyu Zeng, Yanshu Zhang, Zeng, Chenyu +13 · 8 citations
Engineering · #3D Shape Modeling and Analysis #Advanced Measurement and Metrology Techniques #Advanced Numerical Analysis Techniques #FOS: Mathematics #Numerical Analysis (math.NA)
- Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
2022/10/14 by Luning Sun, Sun, Luning, Daniel Zhengyu Huang +5 · 3 citations
Computer Science · Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
2023/02/21 by Yifan Chen, Chen, Yifan, Daniel Zhengyu Huang +6 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Machine Learning and Data Classification #Numerical Analysis (math.NA)
- Sampling via Gradient Flows in the Space of Probability Measures
2023/10/05 by Yifan Chen, Daniel Zhengyu Huang, Chen, Yifan +6 · 3 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistical Mechanics and Entropy
- Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models
2025/06/16 by Daniel Zhengyu Huang, Jiaoyang Huang, Huang, Daniel Zhengyu +3 · 4 citations
Chemistry · Computer Science · Engineering · #Blind Source Separation Techniques #Classical Analysis and ODEs (math.CA) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Spectroscopy and Chemometric Analyses #Surface Roughness and Optical Measurements