Artykuły udostępnione publicznie: - Jianfeng Lu 鲁剑锋Więcej informacji
Dostępne w jakimś miejscu: 152
Deep network approximation for smooth functions
J Lu, Z Shen, H Yang, S Zhang
SIAM Journal on Mathematical Analysis 53 (5), 5465-5506, 2021
Upoważnienia: US National Science Foundation
Markov state models based on milestoning
C Schütte, F Noé, J Lu, M Sarich, E Vanden-Eijnden
J. Chem. Phys. 134 (20), 204105, 2011
Upoważnienia: German Research Foundation
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions
Y Lu, J Lu
Advances in Neural Information Processing Systems 33, 2020
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation, US Department of Energy
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
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation
Neural collapse under cross-entropy loss
J Lu, S Steinerberger
Applied and Computational Harmonic Analysis 59, 224-241, 2022
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation, US Department of Energy, European Commission …
Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods
A Nishimura, D Dunson, J Lu
arXiv preprint arXiv:1705.08510, 2017
Upoważnienia: US National Science Foundation, US Department of Defense
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
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Science Foundation
Compression of the electron repulsion integral tensor in tensor hypercontraction format with cubic scaling cost
J Lu, L Ying
Journal of Computational Physics 302, 329-335, 2015
Upoważnienia: US Department of Energy
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, 2024
Upoważnienia: US National Science Foundation
A variational perspective on cloaking by anomalous localized resonance
RV Kohn, J Lu, B Schweizer, MI Weinstein
Communications in Mathematical Physics 328 (1), 1-27, 2014
Upoważnienia: German Research Foundation
On Explicit -Convergence Rate Estimate for Underdamped Langevin Dynamics
Y Cao, J Lu, L Wang
Archive for Rational Mechanics and Analysis 247 (5), 90, 2023
Upoważnienia: US National Science Foundation
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach
J Han, J Lu, M Zhou
Journal of Computational Physics 423, 109792, 2020
Upoważnienia: US National Science Foundation
Numerical methods for Kohn–Sham density functional theory
L Lin, J Lu, L Ying
Acta Numerica 28, 405-539, 2019
Upoważnienia: US National Science Foundation, US Department of Energy
Neural-network quantum states for periodic systems in continuous space
G Pescia, J Han, A Lovato, J Lu, G Carleo
Physical Review Research 4 (2), 023138, 2022
Upoważnienia: US National Science Foundation, US Department of Energy, Swiss National …
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