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Lexing Ying

  1. On Linear Stability of SGD and Input-Smoothness of Neural Networks
    2021/05/27 by Chao Ma, Ma, Chao, Lexing Ying +1 · 9 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
  2. Compression of the electron repulsion integral tensor in tensor hypercontraction format with cubic scaling cost
    2014/10/28 by Jianfeng Lu, Lexing Ying, Lu, Jianfeng +1 · 6 citations
    Computer Science · Mathematics · Physics and Astronomy · #Algorithms and Data Compression #Computational Physics (physics.comp-ph) #Electromagnetic Scattering and Analysis #FOS: Mathematics #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Numerical Analysis (math.NA) #Tensor decomposition and applications
  3. A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators
    2008/09/03 by Emmanuel J. Candès, Laurent Demanet, Candes, Emmanuel +3 · 5 citations
    Physics and Astronomy · Engineering · #Electromagnetic Scattering and Analysis #Electromagnetic Simulation and Numerical Methods #Numerical methods in engineering
  4. Sweeping Preconditioner for the Helmholtz Equation: Moving Perfectly Matched Layers
    2010/07/25 by Björn Engquist, Engquist, Björn, Lexing Ying +1 · 6 citations
    Physics and Astronomy · Engineering · #Electromagnetic Scattering and Analysis #Electromagnetic Simulation and Numerical Methods #Advanced Numerical Methods in Computational Mathematics
  5. Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
    2024/05/24 by Haoxuan Chen, Yinuo Ren, Chen, Haoxuan +5 · 1 voice · 10 citations
    #cs.LG #cs.DC #math.NA #stat.ML
  6. How to Learn when Data Gradually Reacts to Your Model
    2021/12/13 by Zachary Izzo, James Zou, Izzo, Zachary +3 · 7 citations
    Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  7. Sweeping Preconditioner for the Helmholtz Equation: Hierarchical Matrix Representation
    2010/07/25 by Björn Engquist, Lexing Ying, Engquist, Björn +1 · 4 citations
    Computer Science · Engineering · Physics and Astronomy · #65F08 #65N22 #65N80 #Electromagnetic Scattering and Analysis #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA)
  8. How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
    2024/10/04 by Yinuo Ren, Haoxuan Chen, Ren, Yinuo +5 · 16 citations
    Mathematics · Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA)
  9. Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
    2025/02/01 by Yinuo Ren, Ren, Yinuo, Haoxuan Chen +14 · 1 voice · 17 citations
    Mathematics · Engineering · #Numerical methods for differential equations #Advanced Numerical Methods in Computational Mathematics #Electromagnetic Simulation and Numerical Methods
  10. Fast Computation of Fourier Integral Operators
    2006/10/01 by Emmanuel J. Candès, Laurent Demanet, Candes, Emmanuel +3 · 3 citations
    Physics and Astronomy · Mathematics · Computer Science · #Electromagnetic Scattering and Analysis #Numerical methods in inverse problems #Image and Signal Denoising Methods
  11. Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
    2021/10/13 by Yiping Lu, Lu, Yiping, Haoxuan Chen +7 · 5 citations
    Engineering · Physics and Astronomy · #Advanced Numerical Methods in Computational Mathematics #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in engineering #Statistics Theory (math.ST)
  12. SwitchNet: a neural network model for forward and inverse scattering problems
    2018/10/23 by Yuehaw Khoo, Khoo, Yuehaw, Lexing Ying +1 · 5 citations
    Engineering · Earth and Planetary Sciences · Physics and Astronomy · #Geophysical Methods and Applications #Seismic Imaging and Inversion Techniques #Model Reduction and Neural Networks
  13. Quantum Hamiltonian Learning for the Fermi-Hubbard Model
    2023/12/28 by Hongkang Ni, Haoya Li, Ni, Hongkang +3 · 6 citations
    Computer Science · Physics and Astronomy · #FOS: Mathematics #FOS: Physical sciences #Numerical Analysis (math.NA) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum and electron transport phenomena #Quantum many-body systems
  14. Hierarchical interpolative factorization for elliptic operators: integral equations
    2013/07/10 by Kenneth L. Ho, Ho, Kenneth L., Lexing Ying +1 · 2 citations
    Engineering · Physics and Astronomy · #Electromagnetic Scattering and Analysis #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods in engineering
  15. Efficient construction of tensor ring representations from sampling
    2017/11/02 by Yuehaw Khoo, Jianfeng Lu, Khoo, Yuehaw +3 · 2 citations
    Computer Science · Mathematics · #15A69 #33F05 #65D15 #Algorithms and Data Compression #Digital Filter Design and Implementation #FOS: Mathematics #G.1.10 #G.1.3 #Numerical Analysis (math.NA) #Tensor decomposition and applications
  16. Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
    2020/09/28 by Jing An, An, Jing, Lexing Ying +3 · 3 citations
    Computer Science · #Machine Learning and Algorithms #Imbalanced Data Classification Techniques #Adversarial Robustness in Machine Learning
  17. A multiscale neural network based on hierarchical nested bases
    2018/08/04 by Yuwei Fan, Jordi Feliu‐Fabà, Fan, Yuwei +7 · 2 citations
    Engineering · Physics and Astronomy · #Electromagnetic Scattering and Analysis #Electromagnetic Simulation and Numerical Methods #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  18. Solving Inverse Wave Scattering with Deep Learning
    2019/11/27 by Yuwei Fan, Fan, Yuwei, Lexing Ying +1 · 2 citations
    Earth and Planetary Sciences · Engineering · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Microwave Imaging and Scattering Analysis #Numerical Analysis (math.NA) #Seismic Imaging and Inversion Techniques #Ultrasonics and Acoustic Wave Propagation
  19. Beyond the Quadratic Approximation: the Multiscale Structure of Neural Network Loss Landscapes
    2022/04/24 by Chao Ma, Ma, Chao, Daniel Kunin +5 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #Advanced Electron Microscopy Techniques and Applications #Model Reduction and Neural Networks
  20. Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
    2024/01/20 by Xun Tang, Michael Shavlovsky, Tang, Xun +11 · 4 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Advanced Neural Network Applications
  21. Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
    2022/05/15 by Yiping Lu, José Blanchet, Lu, Yiping +3 · 2 citations
    Mathematics · Medicine · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Radiomics and Machine Learning in Medical Imaging #Statistical Methods and Inference #Statistics Theory (math.ST)
  22. SCDM-k: Localized orbitals for solids via selected columns of the density matrix
    2015/07/13 by Anil Damle, Damle, Anil, Lin Lin +3 · 1 citation
    Chemistry · Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Advanced Physical and Chemical Molecular Interactions #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science
  23. Solving high-dimensional Fokker-Planck equation with functional hierarchical tensor
    2023/12/12 by Xun Tang, Lexing Ying, Tang, Xun +1 · 2 citations
    Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Tensor decomposition and applications
  24. Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls
    2022/11/28 by Yiping Lu, Jiajin Li, Lu, Yiping +5 · 1 citation
    Mathematics · #Statistical Methods and Inference #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials
  25. Correcting Convexity Bias in Function and Functional Estimate
    2022/08/17 by Chao Ma, Ma, Chao, Lexing Ying +1 · 1 citation
    Computer Science · Decision Sciences · Mathematics · #62G05 #65K99 #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Statistical Methods and Inference #Statistics Theory (math.ST)
  26. Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
    2025/06/04 by Haoxuan Chen, Chen, Haoxuan, Yinuo Ren +7 · 6 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #electronic engineering #information engineering
  27. Continuous-in-time Limit for Bayesian Bandits
    2022/10/14 by Yuhua Zhu, Zhu, Yuhua, Zach Izzo +3 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference #Adaptive Dynamic Programming Control
  28. Convex relaxation approaches for strictly correlated density functional theory
    2018/08/14 by Yuehaw Khoo, Lexing Ying, Khoo, Yuehaw +1 · 1 citation
    Mathematics · #49M20 #Advanced Optimization Algorithms Research #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Mathematics #FOS: Physical sciences #G.1.10 #G.1.6 #J.2 #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Tensor decomposition and applications
  29. A Sinkhorn-type Algorithm for Constrained Optimal Transport
    2024/03/08 by Xun Tang, Tang, Xun, Holakou Rahmanian +9 · 2 citations
    Social Sciences · #Transportation Planning and Optimization
  30. Hessian transport gradient flows
    2019/05/11 by Wuchen Li, Lexing Ying, Li, Wuchen +1 · 1 citation
    Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Geometric Analysis and Curvature Flows #Information Theory (cs.IT) #Markov Chains and Monte Carlo Methods #Statistical Mechanics and Entropy
  31. A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations
    2024/02/21 by Alice Cortinovis, Lexing Ying, Cortinovis, Alice +1 · 1 citation
    Computer Science · #65F30 (Primary) 15A23 (Secondary) #FOS: Mathematics #Face and Expression Recognition #Machine Learning and Algorithms #Numerical Analysis (math.NA) #Optimization and Search Problems
  32. Distributed-memory H-matrix Algebra I: Data Distribution and Matrix-vector Multiplication
    2020/08/28 by Yingzhou Li, Li, Yingzhou, Jack Poulson +3 · 1 citation
    Computer Science · #65F99 #65Y05 #Complexity and Algorithms in Graphs #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  33. Generative Modeling via Tree Tensor Network States
    2022/09/03 by Xun Tang, YoonHaeng Hur, Tang, Xun +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #15A69 #60-08 #62-08 #Cellular Automata and Applications #FOS: Computer and information sciences #FOS: Physical sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques #Quantum Physics (quant-ph)
  34. Multi-Mask Diffusion Language Models for Few-Step Generation
    2026/07/22 by Sijin Chen, Yinuo Ren, Heyang Zhao +3
    #cs.CL #cs.LG
  35. Fast Phase Factor Finding for Quantum Signal Processing
    2026/07/30 by Hongkang Ni, Lexing Ying