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Huang, Daniel Zhengyu

  1. The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks
    2022/03/24 by de Hoop, Maarten V., Huang, Daniel Zhengyu, Qian, Elizabeth +1 · 9 citations
    #FOS: Mathematics #Numerical Analysis (math.NA)
  2. Iterated Kalman Methodology For Inverse Problems
    2021/02/02 by Daniel Zhengyu Huang, Huang, Daniel Zhengyu, Tapio Schneider +3 · 5 citations
    Mathematics · Physics and Astronomy · #Statistical and numerical algorithms #Scientific Research and Discoveries
  3. 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
  4. Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries
    2025/01/24 by Zeng, Chenyu, Zhang, Yanshu, Zhou, Jiayi +5 · 8 citations
    #FOS: Mathematics #Numerical Analysis (math.NA)
  5. Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems
    2022/04/09 by Huang, Daniel Zhengyu, Huang, Jiaoyang, Reich, Sebastian +1 · 3 citations
    #FOS: Mathematics #Numerical Analysis (math.NA)
  6. Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
    2022/10/14 by Sun, Luning, Huang, Daniel Zhengyu, Sun, Hao +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. 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)
  8. 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
  9. Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
    2024/07/22 by Carrillo, José A., Chen, Yifan, Huang, Daniel Zhengyu +2 · 3 citations
    #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  10. SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions
    2023/12/12 by Liu, Ziyuan, Wu, Yuhang, Huang, Daniel Zhengyu +3 · 2 citations
    #FOS: Mathematics #Numerical Analysis (math.NA)
  11. Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows
    2024/06/25 by Chen, Yifan, Huang, Daniel Zhengyu, Huang, Jiaoyang +2 · 2 citations
    #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  12. Bayesian Calibration for Large-Scale Fluid Structure Interaction Problems Under Embedded/Immersed Boundary Framework
    2021/05/20 by Cao, Shunxiang, Huang, Daniel Zhengyu · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA)
  13. Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models
    2025/06/16 by Daniel Zhengyu Huang, Huang, Daniel Zhengyu, Jiaoyang Huang +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
  14. Improving Monte Carlo Tree Search for Symbolic Regression
    2025/09/19 by Huang, Zhengyao, Huang, Daniel Zhengyu, Xiao, Tiannan +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)