Yubei Chen
Yubei Chen
Postdoc Researcher, Facebook AI Research (FAIR); Visiting Scholar, Berkeley AI Research (BAIR)
Verified email at - Homepage
Cited by
Cited by
Orthogonal convolutional neural networks
J Wang, Y Chen, R Chakraborty, SX Yu
Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020
Superposition of many models into one
B Cheung, A Terekhov, Y Chen, P Agrawal, B Olshausen
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Nonparametric statistical learning control of robot manipulators for trajectory or contour tracking
C Wang, Y Zhao, Y Chen, M Tomizuka
Robotics and Computer-Integrated Manufacturing 35, 96-103, 2015
Hermes: an integrated CPU/GPU microarchitecture for IP routing
Y Zhu, Y Deng, Y Chen
Proceedings of the 48th Design Automation Conference (DAC 2011), 1044-1049, 2011
The sparse manifold transform
Y Chen, DM Paiton, BA Olshausen
Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018
Orchestrating cache management and memory scheduling for GPGPU applications
S Mu, Y Deng, Y Chen, H Li, J Pan, W Zhang, Z Wang
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 22 (8 …, 2013
Providing source code level portability between CPU and GPU with MapCG
CT Hong, DH Chen, YB Chen, WG Chen, WM Zheng, HB Lin
Journal of Computer Science and Technology 27 (1), 42-56, 2012
Learning Energy-Based Models in High-Dimensional Spaces with Multi-Scale Denoising Score Matching
Z Li, Y Chen, FT Sommer
arXiv preprint arXiv:1910.07762v2, 2019
Decoupled contrastive learning
CH Yeh, CY Hong, YC Hsu, TL Liu, Y Chen, Y LeCun
arXiv preprint arXiv:2110.06848, 2021
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
Z Yun, Y Chen, BA Olshausen, Y LeCun
NAACL DeeLIO Workshop 2021, 2021
A Neural Network MCMC Sampler that Maximizes Proposal Entropy
Z Li, Y Chen, FT Sommer
arXiv preprint arXiv:2010.03587, 2020
Word embedding visualization via dictionary learning
J Zhang, Y Chen, B Cheung, BA Olshausen
arXiv preprint arXiv:1910.03833, 2019
3D Shape Reconstruction from Free-Hand Sketches
J Wang, J Lin, Q Yu, R Liu, Y Chen, SX Yu
arXiv preprint arXiv:2006.09694, 2020
Neural manifold clustering and embedding
Z Li, Y Chen, Y LeCun, FT Sommer
arXiv preprint arXiv:2201.10000, 2022
Free hyperbolic neural networks with limited radii
Y Guo, X Wang, Y Chen, SX Yu
arXiv preprint arXiv:2107.11472, 2021
The 2020 low-power computer vision challenge
X Hu, MC Chang, Y Chen, R Sridhar, Z Hu, Y Xue, Z Wu, P Pi, J Shen, ...
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
HY Hu, D Wu, YZ You, B Olshausen, Y Chen
arXiv preprint arXiv:2010.00029, 2020
Disentangling images with Lie group transformations and sparse coding
HY Chau, F Qiu, Y Chen, B Olshausen
arXiv preprint arXiv:2012.12071, 2020
Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs
S Mu, D Li, Y Chen, Y Deng, Z Wang
IEICE TRANSACTIONS on Information and Systems 96 (10), 2194-2207, 2013
On the duality between contrastive and non-contrastive self-supervised learning
Q Garrido, Y Chen, A Bardes, L Najman, Y Lecun
arXiv preprint arXiv:2206.02574, 2022
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