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Yifan Chen
Yifan Chen
Courant Institute, NYU
在 nyu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Solving and Learning Nonlinear PDEs with Gaussian Processes
Y Chen, B Hosseini, H Owhadi, AM Stuart
Journal of Computational Physics 447, 110668, 2021
1392021
The Quadratic Wasserstein Metric for Earthquake Location
J Chen, Y Chen, H Wu, D Yang
Journal of Computational Physics 373, 188-209, 2018
482018
Optimal Transport Natural Gradient for Statistical Manifolds with Continuous Sample Space
Y Chen, W Li
Information Geometry 3, 1-32, 2020
45*2020
Consistency of Empirical Bayes and Kernel Flow for Hierarchical Parameter Estimation
Y Chen, H Owhadi, AM Stuart
Mathematics of Computation 90, 2527-2578, 2020
342020
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
Y Chen, EN Epperly, JA Tropp, RJ Webber
arXiv preprint arXiv:2207.06503, 2022
272022
Exponential Convergence for Multiscale Linear Elliptic PDEs via Adaptive Edge Basis Functions
Y Chen, TY Hou, Y Wang
SIAM Multiscale Modeling & Simulation 19 (2), 980–1010, 2020
212020
Exponentially Convergent Multiscale Methods for 2D High Frequency Heterogeneous Helmholtz Equations
Y Chen, TY Hou, Y Wang
SIAM Multiscale Modeling & Simulation 21 (3), 849-883, 2021
192021
Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes
Y Chen, H Owhadi, F Schaefer
Mathematics of Computation, 2024, 2023
152023
Gradient flows for sampling: mean-field models, Gaussian approximations and affine invariance
Y Chen, DZ Huang, J Huang, S Reich, AM Stuart
arXiv preprint arXiv:2302.11024, 2023
122023
Provable Probabilistic Imaging using Score-Based Generative Priors
Y Sun, Z Wu, Y Chen, BT Feng, KL Bouman
arXiv preprint arXiv:2310.10835, 2023
102023
Error analysis of kernel/GP methods for nonlinear and parametric PDEs
P Batlle, Y Chen, B Hosseini, H Owhadi, AM Stuart
arXiv preprint arXiv:2305.04962, 2023
92023
Multiscale Elliptic PDEs Upscaling and Function Approximation via Subsampled Data
Y Chen, TY Hou
SIAM Multiscale Modeling & Simulation 20 (1), 188-219, 2020
72020
Sampling via Gradient Flows in the Space of Probability Measures
Y Chen, DZ Huang, J Huang, S Reich, AM Stuart
arXiv preprint arXiv:2310.03597, 2023
62023
Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers
Y Chen, Y Sun, W Yin
Mathematical Programming 176 (1-2), 39-67, 2019
62019
Exponentially convergent multiscale finite element method
Y Chen, TY Hou, Y Wang
Communications on Applied Mathematics and Computation 6 (2), 862-878, 2024
52024
Function Approximation via The Subsampled Poincare Inequality
Y Chen, TY Hou
Discrete & Continuous Dynamical Systems - A 41 (1), 169-199, 2020
42020
Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations
H Zhang, Y Chen, E Vanden-Eijnden, B Peherstorfer
arXiv preprint 2404.01145, 2024
22024
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Y Chen, M Goldstein, M Hua, MS Albergo, NM Boffi, E Vanden-Eijnden
ICML 2024, 2024
22024
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows
Y Chen, DZ Huang, J Huang, S Reich, AM Stuart
arXiv preprint arXiv: 2406.17263, 2024
12024
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
JA Carrillo, Y Chen, DZ Huang, J Huang, D Wei
arXiv preprint arXiv:2407.15693, 2024
2024
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