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Disambiguation of "Lu, Yulong"

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A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems.

, and . CoRR, (2021)

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Yulong Zhao

Yulong Huang

Lu Lu

Chison Lu

Baufa Lu

 

Other publications of authors with the same name

Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem., , , and . CoRR, (2024)A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions., and . NeurIPS, (2020)Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions., and . ICLR, OpenReview.net, (2024)Near-optimal deep neural network approximation for Korobov functions with respect to Lp and H1 norms., and . Neural Networks, (2024)On the convergence of Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem., , , and . CoRR, (2023)A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems., and . CoRR, (2021)A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth., , , , and . CoRR, (2020)Optimal Deep Neural Network Approximation for Korobov Functions with respect to Sobolev Norms., and . CoRR, (2023)A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 6426-6436. PMLR, (2020)Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective.. ICML, volume 202 of Proceedings of Machine Learning Research, page 22790-22811. PMLR, (2023)