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Tao Luo 0012
Person information
- affiliation: Shanghai Jiao Tong University, China
- affiliation (former): Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
Other persons with the same name
- Tao Luo — disambiguation page
- Tao Luo 0001 — Beijing Institute of Technology, Key Laboratory of Intelligent Information Technology, School of Computer Science, Beijing, China
- Tao Luo 0002 — Magma Design Automation (and 1 more)
- Tao Luo 0003 — Peking University, Key Laboratory of Machine Perception
- Tao Luo 0004 — University of Science and Technology of China, Hefei
- Tao Luo 0005
— Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Networks / Beijing Key Laboratory of Network System Architecture and Convergence, China
- Tao Luo 0006 — Xi'an Jiaotong University
- Tao Luo 0007 — Texas Instruments
- Tao Luo 0008 — DePaul University, Chicago
- Tao Luo 0009 — Qualcomm (and 2 more)
- Tao Luo 0010
- Tao Luo 0011 — Multivision Intelligent Surveillance (and 1 more)
- Tao Luo 0013 — Technicolor Research and Innovation, Beijing, China
- Tao Luo 0014
- Tao Luo 0015
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2020 – today
- 2024
- [c6]Zhongwang Zhang, Yuqing Li, Tao Luo, Zhi-Qin John Xu:
Stochastic Modified Equations and Dynamics of Dropout Algorithm. ICLR 2024 - [i33]Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo:
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning. CoRR abs/2402.16899 (2024) - [i32]Yuqing Li, Tao Luo, Qixuan Zhou:
Demystifying Lazy Training of Neural Networks from a Macroscopic Viewpoint. CoRR abs/2404.04859 (2024) - [i31]Leyang Zhang, Yaoyu Zhang, Tao Luo:
Geometry of Critical Sets and Existence of Saddle Branches for Two-layer Neural Networks. CoRR abs/2405.17501 (2024) - [i30]Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo:
Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Effective Loss Landscapes via the Fokker-Planck Equation. CoRR abs/2406.08148 (2024) - [i29]Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo:
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning. CoRR abs/2407.13279 (2024) - [i28]Chuqi Chen, Qixuan Zhou, Yahong Yang, Yang Xiang, Tao Luo:
Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers. CoRR abs/2410.06308 (2024) - 2023
- [j8]Leyang Zhang, Zhi-Qin John Xu, Tao Luo, Yaoyu Zhang:
Limitation of Characterizing Implicit Regularization by Data-independent Functions. Trans. Mach. Learn. Res. 2023 (2023) - [i27]Zhengan Chen, Yuqing Li, Tao Luo, Zhangchen Zhou, Zhi-Qin John Xu:
Phase Diagram of Initial Condensation for Two-layer Neural Networks. CoRR abs/2303.06561 (2023) - [i26]Zhongwang Zhang, Yuqing Li, Tao Luo, Zhi-Qin John Xu:
Stochastic Modified Equations and Dynamics of Dropout Algorithm. CoRR abs/2305.15850 (2023) - [i25]Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang, Zhiwei Bai, Tao Luo, Zhi-Qin John Xu:
Optimistic Estimate Uncovers the Potential of Nonlinear Models. CoRR abs/2307.08921 (2023) - [i24]Leyang Zhang, Yaoyu Zhang, Tao Luo:
Structure and Gradient Dynamics Near Global Minima of Two-layer Neural Networks. CoRR abs/2309.00508 (2023) - [i23]Tao Luo, Qixuan Zhou:
On Residual Minimization for PDEs: Failure of PINN, Modified Equation, and Implicit Bias. CoRR abs/2310.18201 (2023) - 2022
- [j7]Zhemin Li
A regularised deep matrix factorised model of matrix completion for image restoration. IET Image Process. 16(12): 3212-3224 (2022) - [j6]Yuqing Li, Tao Luo
Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks. SIAM J. Math. Data Sci. 4(2): 694-720 (2022) - [j5]Tao Luo
On the Exact Computation of Linear Frequency Principle Dynamics and Its Generalization. SIAM J. Math. Data Sci. 4(4): 1272-1292 (2022) - [c5]Tao Luo, Zheng Ma, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang:
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model. MSML 2022: 205-214 - [c4]Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu:
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width. NeurIPS 2022 - [c3]Hanxu Zhou, Qixuan Zhou, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu:
Towards Understanding the Condensation of Neural Networks at Initial Training. NeurIPS 2022 - [i22]Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo:
Overview frequency principle/spectral bias in deep learning. CoRR abs/2201.07395 (2022) - [i21]Leyang Zhang, Zhi-Qin John Xu, Tao Luo, Yaoyu Zhang:
Limitation of characterizing implicit regularization by data-independent functions. CoRR abs/2201.12198 (2022) - [i20]Hanxu Zhou, Qixuan Zhou, Zhenyuan Jin, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu:
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width. CoRR abs/2205.12101 (2022) - [i19]Shuyu Yin, Tao Luo, Peilin Liu, Zhi-Qin John Xu:
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation. CoRR abs/2205.12770 (2022) - [i18]Zhiwei Bai, Tao Luo, Zhi-Qin John Xu, Yaoyu Zhang:
Embedding Principle in Depth for the Loss Landscape Analysis of Deep Neural Networks. CoRR abs/2205.13283 (2022) - [i17]Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang, Zhiwei Bai, Tao Luo, Zhi-Qin John Xu:
Linear Stability Hypothesis and Rank Stratification for Nonlinear Models. CoRR abs/2211.11623 (2022) - 2021
- [j4]Tao Luo, Zhi-Qin John Xu, Zheng Ma, Yaoyu Zhang:
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit. J. Mach. Learn. Res. 22: 71:1-71:47 (2021) - [j3]Tao Luo
Energy Scaling and Asymptotic Properties of One-Dimensional Discrete System with Generalized Lennard-Jones (m, n) Interaction. J. Nonlinear Sci. 31(2): 43 (2021) - [j2]Tao Luo, Yang Xiang
Finite Temperature Cauchy-Born Rule and Stability of Crystalline Solids with Point Defects. Multiscale Model. Simul. 19(4): 1710-1735 (2021) - [c2]Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu:
Embedding Principle of Loss Landscape of Deep Neural Networks. NeurIPS 2021: 14848-14859 - [i16]Yaoyu Zhang, Tao Luo, Zheng Ma, Zhi-Qin John Xu:
Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks. CoRR abs/2102.00200 (2021) - [i15]Yuqing Li, Tao Luo, Chao Ma:
Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks. CoRR abs/2103.16355 (2021) - [i14]Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang:
An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network. CoRR abs/2105.11675 (2021) - [i13]Zhi-Qin John Xu, Hanxu Zhou, Tao Luo, Yaoyu Zhang:
Towards Understanding the Condensation of Two-layer Neural Networks at Initial Training. CoRR abs/2105.11686 (2021) - [i12]Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu:
Embedding Principle of Loss Landscape of Deep Neural Networks. CoRR abs/2105.14573 (2021) - [i11]Lulu Zhang, Tao Luo, Yaoyu Zhang, Zhi-Qin John Xu, Zheng Ma:
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs. CoRR abs/2107.03673 (2021) - [i10]Yaoyu Zhang, Yuqing Li, Zhongwang Zhang, Tao Luo, Zhi-Qin John Xu:
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks. CoRR abs/2111.15527 (2021) - 2020
- [c1]Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, Zheng Ma:
A type of generalization error induced by initialization in deep neural networks. MSML 2020: 144-164 - [i9]Yuqing Li, Tao Luo, Nung Kwan Yip:
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH). CoRR abs/2007.03714 (2020) - [i8]Tao Luo, Zhi-Qin John Xu, Zheng Ma, Yaoyu Zhang:
Phase diagram for two-layer ReLU neural networks at infinite-width limit. CoRR abs/2007.07497 (2020) - [i7]Zhemin Li, Zhi-Qin John Xu, Tao Luo, Hongxia Wang:
A regularized deep matrix factorized model of matrix completion for image restoration. CoRR abs/2007.14581 (2020) - [i6]Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang:
On the exact computation of linear frequency principle dynamics and its generalization. CoRR abs/2010.08153 (2020) - [i5]Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang:
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning. CoRR abs/2012.03238 (2020)
2010 – 2019
- 2019
- [i4]Zhi-Qin John Xu
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks. CoRR abs/1901.06523 (2019) - [i3]Yaoyu Zhang, Zhi-Qin John Xu
A type of generalization error induced by initialization in deep neural networks. CoRR abs/1905.07777 (2019) - [i2]Yaoyu Zhang, Zhi-Qin John Xu, Tao Luo, Zheng Ma:
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks. CoRR abs/1905.10264 (2019) - [i1]Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang:
Theory of the Frequency Principle for General Deep Neural Networks. CoRR abs/1906.09235 (2019) - 2016
- [j1]Tao Luo
Energy Scaling and Asymptotic Properties of Step Bunching in Epitaxial Growth with Elasticity Effects. Multiscale Model. Simul. 14(2): 737-771 (2016)
Coauthor Index
aka: Zhiqin John Xu
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