Yubei Chen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 44

Top Topics

Dictionary Learning

Metropolis Hastings

Top Venues

Publications

Zhiyu Chen, Ziyuan Wen, Weier Wan, Akhil Reddy Pakala, Yiwei Zou, Wei-Chen Wei, Zengyi Li, Yubei Chen, Kaiyuan Yang
PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout. CoRR (2024)
Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR (2024)
Jiayun Wang, Stella X. Yu, Yubei Chen
Trajectory Regularization Enhances Self-Supervised Geometric Representation. CoRR (2024)
Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. CoRR (2023)
Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR (2023)
Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV (2023)
Jiachen Zhu, Ravid Shwartz-Ziv, Yubei Chen, Yann LeCun
Variance-Covariance Regularization Improves Representation Learning. CoRR (2023)
Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen
URLOST: Unsupervised Representation Learning without Stationarity or Topology. CoRR (2023)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. Entropy 25 (10) (2023)
Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR (2023)
Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023)
Pu Hua, Yubei Chen, Huazhe Xu
Simple Emergent Action Representations from Multi-Task Policy Training. ICLR (2023)
Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
On the duality between contrastive and non-contrastive self-supervised learning. ICLR (2023)
Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR (2022)
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. 3 (3) (2022)
Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun
Joint Embedding Self-Supervised Learning in the Kernel Regime. CoRR (2022)
Pu Hua, Yubei Chen, Huazhe Xu
Simple Emergent Action Representations from Multi-Task Policy Training. CoRR (2022)
Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen
Disentangling images with Lie group transformations and sparse coding. NeurReps (2022)
Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR (2022)
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
Decoupled Contrastive Learning. ECCV (26) (2022)
Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
3D Shape Reconstruction from Free-Hand Sketches. ECCV Workshops (8) (2022)
Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR (2022)
Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
On the duality between contrastive and non-contrastive self-supervised learning. CoRR (2022)
Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer
Neural Manifold Clustering and Embedding. CoRR (2022)
Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. CoRR (2022)
Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. DeeLIO@NAACL-HLT (2021)
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
Decoupled Contrastive Learning. CoRR (2021)
Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
Free Hyperbolic Neural Networks with Limited Radii. CoRR (2021)
Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
Recurrent Parameter Generators. CoRR (2021)
Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. CoRR (2021)
Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan
The 2020 Low-Power Computer Vision Challenge. AICAS (2021)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
A Neural Network MCMC Sampler That Maximizes Proposal Entropy. Entropy 23 (3) (2021)
Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
3D Shape Reconstruction from Free-Hand Sketches. CoRR (2020)
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR (2020)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
A Neural Network MCMC sampler that maximizes Proposal Entropy. CoRR (2020)
Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen
Disentangling images with Lie group transformations and sparse coding. CoRR (2020)
Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
Orthogonal Convolutional Neural Networks. CVPR (2020)
Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen
Word Embedding Visualization Via Dictionary Learning. CoRR (2019)
Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen
Superposition of many models into one. NeurIPS (2019)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. CoRR (2019)
Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
Orthogonal Convolutional Neural Networks. CoRR (2019)
Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen
Superposition of many models into one. CoRR (2019)
Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
The Sparse Manifold Transform. NeurIPS (2018)
Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
The Sparse Manifold Transform. CoRR (2018)
Shuai Mu, Yangdong Deng, Yubei Chen, Huaiming Li, Jianming Pan, Wenjun Zhang, Zhihua Wang
Orchestrating Cache Management and Memory Scheduling for GPGPU Applications. IEEE Trans. Very Large Scale Integr. Syst. 22 (8) (2014)
Shuai Mu, Dongdong Li, Yubei Chen, Yangdong Deng, Zhihua Wang
Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs. IEICE Trans. Inf. Syst. (10) (2013)
Yuhao Zhu, Yangdong Deng, Yubei Chen
Hermes: an integrated CPU/GPU microarchitecture for IP routing. DAC (2011)