Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions

Oct 19, 2020
Wei Deng, Guang Lin, Faming Liang

* Accepted by NeurIPS 2020 

  Access Paper or Ask Questions

An adaptive Hessian approximated stochastic gradient MCMC method

Oct 03, 2020
Yating Wang, Wei Deng, Guang Lin


  Access Paper or Ask Questions

Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction

Oct 02, 2020
Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang


  Access Paper or Ask Questions

Non-convex Learning via Replica Exchange Stochastic Gradient MCMC

Sep 10, 2020
Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin

* Accepted by ICML 2020 

  Access Paper or Ask Questions

Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications

Jun 29, 2020
Yating Wang, Wei Deng, Lin Guang


  Access Paper or Ask Questions

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

May 05, 2020
Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, SeYoung Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yong Hyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou


  Access Paper or Ask Questions

A Sparse Deep Factorization Machine for Efficient CTR prediction

Feb 17, 2020
Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin


  Access Paper or Ask Questions

An Adaptive Empirical Bayesian Method for Sparse Deep Learning

Oct 23, 2019
Wei Deng, Xiao Zhang, Faming Liang, Guang Lin

* Accepted by NeurIPS 2019 

  Access Paper or Ask Questions

Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications

Aug 09, 2017
Rongrong Zhang, Wei Deng, Michael Yu Zhu


  Access Paper or Ask Questions

Adaptive low rank and sparse decomposition of video using compressive sensing

May 31, 2013
Fei Yang, Hong Jiang, Zuowei Shen, Wei Deng, Dimitris Metaxas

* IEEE International Conference on Image Processing, ICIP 2013, Paper #1870 
* Accepted ICIP 2013 

  Access Paper or Ask Questions

Surveillance Video Processing Using Compressive Sensing

Feb 08, 2013
Hong Jiang, Wei Deng, Zuowei Shen

* Inverse Problems and Imaging, Volume 6, No. 2, 2012, 201-214 
* 14 pages, 5 figures 

  Access Paper or Ask Questions