Jianfeng Lu 鲁剑锋

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Lexing YingProfessor of Mathematics, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Lin LinUniversity of California, BerkeleyPreverjeni e-poštni naslov na math.berkeley.edu
Weinan EProfessor of Mathematics, Princeton UniversityPreverjeni e-poštni naslov na math.princeton.edu
Ingrid DaubechiesDuke UniversityPreverjeni e-poštni naslov na math.duke.edu
Yingzhou LiFudan UniversityPreverjeni e-poštni naslov na fudan.edu.cn
Haizhao YangDepartment of Mathematics, Department of Computer Science, University of Maryland College ParkPreverjeni e-poštni naslov na umd.edu
Yulong LuAssistant Professor at University of Minnesota Twin CitiesPreverjeni e-poštni naslov na umn.edu
QIN LIUniversity of Wisconsin-MadisonPreverjeni e-poštni naslov na math.wisc.edu
Holden LeeAssistant Professor of Applied Mathematics and Statistics, Johns Hopkins UniversityPreverjeni e-poštni naslov na jhu.edu
Stefan SteinerbergerUniversity of Washington, SeattlePreverjeni e-poštni naslov na uw.edu
Eric Vanden-EijndenCourant Institute of Mathematical Sciences NYUPreverjeni e-poštni naslov na nyu.edu
Ziang ChenDepartment of Mathematics, Massachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
Chao YangLawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Yuehaw KhooUniversity of ChicagoPreverjeni e-poštni naslov na uchicago.edu
Lihan WangDepartment of Mathematical Sciences, Carnegie Mellon UniversityPreverjeni e-poštni naslov na andrew.cmu.edu
Jeremy L. MarzuolaProfessor of Mathematics, University of North Carolina at Chapel HillPreverjeni e-poštni naslov na math.unc.edu
Xu YangProfessor of Mathematics, University of California, Santa BarbaraPreverjeni e-poštni naslov na math.ucsb.edu
Hau-Tieng WuCourant Institute of Mathematical Sciences, New York UniversityPreverjeni e-poštni naslov na math.duke.edu
Yixin TanDuke UniversityPreverjeni e-poštni naslov na duke.edu
Alexander B WatsonAssistant Professor, University of MinnesotaPreverjeni e-poštni naslov na umn.edu

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Jianfeng Lu 鲁剑锋

Department of Mathematics, Department of Chemistry and Department of Physics, Duke University

Preverjeni e-poštni naslov na math.duke.edu - Domača stran

Applied Mathematics Theoretical Chemistry Materials Science Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool I Daubechies, J Lu, HT Wu Applied and Computational Harmonic Analysis 30 (2), 243-261, 2011	2566	2011
Solving parametric PDE problems with artificial neural networks Y Khoo, J Lu, L Ying European Journal of Applied Mathematics 32 (3), 421-435, 2021	450	2021
Deep network approximation for smooth functions J Lu, Z Shen, H Yang, S Zhang SIAM Journal on Mathematical Analysis 53 (5), 5465-5506, 2021	315	2021
Markov state models based on milestoning C Schütte, F Noé, J Lu, M Sarich, E Vanden-Eijnden J. Chem. Phys. 134 (20), 204105, 2011	275	2011
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions Y Lu, J Lu Advances in Neural Information Processing Systems 33, 2020	208	2020
Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions H Chen, H Lee, J Lu International Conference on Machine Learning, 4735-4763, 2023	171	2023
Solving for high-dimensional committor functions using artificial neural networks Y Khoo, J Lu, L Ying Research in the Mathematical Sciences 6, 1-13, 2019	161	2019
Convergence for score-based generative modeling with polynomial complexity H Lee, J Lu, Y Tan Advances in Neural Information Processing Systems 35, 22870-22882, 2022	157	2022
Fast construction of hierarchical matrix representation from matrix–vector multiplication L Lin, J Lu, L Ying Journal of Computational Physics 230 (10), 4071-4087, 2011	147	2011
Convergence of score-based generative modeling for general data distributions H Lee, J Lu, Y Tan International Conference on Algorithmic Learning Theory, 946-985, 2023	143	2023
Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation L Lin, J Lu, L Ying, W E Journal of Computational Physics 231 (4), 2140–2154, 2012	139	2012
Fast algorithm for extracting the diagonal of the inverse matrix with application to the electronic structure analysis of metallic systems L Lin, J Lu, L Ying, R Car, W E Communications in Mathematical Sciences 7 (3), 755-777, 2009	136	2009
SelInv -- An Algorithm for Selected Inversion of a Sparse Symmetric Matrix L Lin, C Yang, JC Meza, J Lu, L Ying, W E ACM Transactions on Mathematical Software (TOMS) 37 (4), 40, 2011	134	2011
A priori generalization analysis of the deep Ritz method for solving high dimensional elliptic partial differential equations Y Lu, J Lu, M Wang Conference on learning theory, 3196-3241, 2021	124*	2021
Neural collapse under cross-entropy loss J Lu, S Steinerberger Applied and Computational Harmonic Analysis 59, 224-241, 2022	119	2022
ELSI: A unified software interface for Kohn–Sham electronic structure solvers VW Yu, F Corsetti, A García, WP Huhn, M Jacquelin, W Jia, B Lange, L Lin, ... Computer Physics Communications 222, 267-285, 2018	118	2018
Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods A Nishimura, D Dunson, J Lu arXiv preprint arXiv:1705.08510, 2017	110*	2017
Nonexistence of a minimizer for Thomas-Fermi-Dirac-von Weizsäcker model J Lu, F Otto Comm. Pure Appl. Math 67 (10), 1605-1617, 2014	109	2014
The probability flow ode is provably fast S Chen, S Chewi, H Lee, Y Li, J Lu, A Salim Advances in Neural Information Processing Systems 36, 68552-68575, 2023	105	2023
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth Y Lu, C Ma, Y Lu, J Lu, L Ying International Conference on Machine Learning, 6426-6436, 2020	104	2020

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