Seguir
Jianfeng Lu 鲁剑锋
Jianfeng Lu 鲁剑锋
Department of Mathematics, Department of Chemistry and Department of Physics, Duke University
Dirección de correo verificada de math.duke.edu - Página principal
Título
Citado por
Citado por
Año
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
25562011
Solving parametric PDE problems with artificial neural networks
Y Khoo, J Lu, L Ying
European Journal of Applied Mathematics 32 (3), 421-435, 2021
4472021
Deep network approximation for smooth functions
J Lu, Z Shen, H Yang, S Zhang
SIAM Journal on Mathematical Analysis 53 (5), 5465-5506, 2021
3102021
Markov state models based on milestoning
C Schütte, F Noé, J Lu, M Sarich, E Vanden-Eijnden
J. Chem. Phys. 134 (20), 204105, 2011
2792011
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions
Y Lu, J Lu
Advances in Neural Information Processing Systems 33, 2020
2082020
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
1632023
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
1612019
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
1502022
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
1452011
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
1392023
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
1372012
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
1332011
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
1332009
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
1142022
Nonexistence of a minimizer for Thomas-Fermi-Dirac-von Weizsäcker model
J Lu, F Otto
Comm. Pure Appl. Math 67 (10), 1605-1617, 2014
1102014
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
1072018
Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods
A Nishimura, D Dunson, J Lu
arXiv preprint arXiv:1705.08510, 2017
106*2017
Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime
J Lu, Y Lu, J Nolen
SIAM Journal on Mathematical Analysis 51 (2), 648-671, 2019
1042019
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
1012020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20