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Incorporating Orientations into End-to-end Driving Model for Steering Control


Mar 10, 2021
Peng Wan, Zhenbo Song, Jianfeng Lu


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Neural Collapse with Cross-Entropy Loss


Jan 18, 2021
Jianfeng Lu, Stefan Steinerberger


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A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Equations


Jan 05, 2021
Jianfeng Lu, Yulong Lu, Min Wang


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Complexity of zigzag sampling algorithm for strongly log-concave distributions


Dec 21, 2020
Jianfeng Lu, Lihan Wang


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SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising


Dec 03, 2020
Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian

* 11 Pages 

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Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime


Oct 22, 2020
Andrea Agazzi, Jianfeng Lu

* 22 pages, 1 figure 

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Random Coordinate Underdamped Langevin Monte Carlo


Oct 22, 2020
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright


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Random Coordinate Langevin Monte Carlo


Oct 03, 2020
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright


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Efficient sampling from the Bingham distribution


Sep 30, 2020
Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski


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Neural Machine Translation with Error Correction


Jul 21, 2020
Kaitao Song, Xu Tan, Jianfeng Lu

* Accepted by IJCAI 2020 

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End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera


Jun 09, 2020
Zhenbo Song, Jianfeng Lu, Tong Zhang, Hongdong Li


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LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning


Apr 27, 2020
Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu


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A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions


Apr 21, 2020
Yulong Lu, Jianfeng Lu

* submitted 

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MPNet: Masked and Permuted Pre-training for Language Understanding


Apr 20, 2020
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu


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A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth


Mar 11, 2020
Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying


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Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach


Feb 07, 2020
Jiequn Han, Jianfeng Lu, Mo Zhou

* 15 pages, 4 figures, 3 tables 

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Deep Network Approximation for Smooth Functions


Jan 09, 2020
Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang


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Part-based Multi-stream Model for Vehicle Searching


Nov 11, 2019
Ya Sun, Minxian Li, Jianfeng Lu

* Published in International Conference on Pattern Recognition 2018 

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Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds


Nov 08, 2019
Rong Ge, Holden Lee, Jianfeng Lu

* 45 pages 

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Temporal-difference learning for nonlinear value function approximation in the lazy training regime


Jun 05, 2019
Andrea Agazzi, Jianfeng Lu

* added references in v2, in particular for concurrent works 

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Accelerating Langevin Sampling with Birth-death


May 23, 2019
Yulong Lu, Jianfeng Lu, James Nolen


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MASS: Masked Sequence to Sequence Pre-training for Language Generation


May 13, 2019
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu

* Accepted by ICML 2019 

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Variational training of neural network approximations of solution maps for physical models


May 07, 2019
Yingzhou Li, Jianfeng Lu, Anqi Mao


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A stochastic version of Stein Variational Gradient Descent for efficient sampling


Apr 11, 2019
Lei Li, Yingzhou Li, Jian-Guo Liu, Zibu Liu, Jianfeng Lu


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Generating Adversarial Examples With Conditional Generative Adversarial Net


Mar 18, 2019
Ping Yu, Kaitao Song, Jianfeng Lu

* 6 pages 

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