Yuling Jiao

1. Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors
   2021/04/14 by Yuling Jiao, Guohao Shen, Jiao, Yuling +5 · 9 citations
   Computer Science · Engineering · Medicine · #62G05 #68T07 #Advanced Neuroimaging Techniques and Applications #FOS: Mathematics #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Topological and Geometric Data Analysis
2. Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
   2023/10/11 by Yu Zhan, Yu, Zhan, Qiuhao Chen +11 · 8 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Methods and Algorithms #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
3. Gaussian Interpolation Flows
   2023/11/20 by Yuan Gao, Gao, Yuan, Jian Huang +3 · 7 citations
   Computer Science · Physics and Astronomy · #62G05 #68T07 #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
4. Convergence of Continuous Normalizing Flows for Learning Probability Distributions
   2024/03/31 by Yuan Gao, Jian Huang, Gao, Yuan +5 · 7 citations
   Computer Science · #Neural Networks and Applications #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms
5. Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on Hölder Class
   2021/02/28 by Yuling Jiao, Yanming Lai, Jiao, Yuling +9 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Numerical Analysis (math.NA)
6. Wasserstein Generative Learning of Conditional Distribution
   2021/12/19 by Shiao Liu, Xingyu Zhou, Liu, Shiao +5 · 2 citations
   Computer Science · Mathematics · #62G05 #68T07 #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Statistical Methods and Inference #Statistics Theory (math.ST)
7. Current density impedance imaging with PINNs
   2023/06/24 by Chenguang Duan, Yuling Jiao, Duan, Chenguang +5 · 2 citations
   Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Non-Destructive Testing Techniques #Numerical Analysis (math.NA)
8. Convergence Analysis of Flow Matching in Latent Space with Transformers
   2024/04/03 by Yuling Jiao, Yanming Lai, Jiao, Yuling +5 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. DRM Revisited: A Complete Error Analysis
   2024/07/12 by Yuling Jiao, Jiao, Yuling, Ruoxuan Li +7 · 2 citations
   Computer Science · #Digital Rights Management and Security
10. Sampling via Föllmer Flow
    2023/11/07 by Zhao Ding, Yuling Jiao, Ding, Zhao +7 · 1 citation
    Computer Science · Physics and Astronomy · #58J65 #60J60 #62D05 #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Methodology (stat.ME) #Model Reduction and Neural Networks
11. Characteristic Learning for Provable One Step Generation
    2024/05/09 by Zhao Ding, Chenguang Duan, Ding, Zhao +9 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #IoT-based Smart Home Systems #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Modular Robots and Swarm Intelligence #Numerical Analysis (math.NA) #Statistics Theory (math.ST)
12. Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations
    2026/07/18 by Changyu Liu, Yuling Jiao, Jian Huang
    #stat.ML #cs.LG