Yubei Chen

Orcid: 0000-0002-8930-3512

According to our database¹, Yubei Chen authored at least 36 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Trajectory Regularization Enhances Self-Supervised Geometric Representation.

[BibT_eX]

[DOI]

Jiayun Wang

Stella X. Yu

Yubei Chen

CoRR, 2024

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching.

[BibT_eX]

[DOI]

Zengyi Li

Yubei Chen

Friedrich T. Sommer

Entropy, October, 2023

URLOST: Unsupervised Representation Learning without Stationarity or Topology.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality.

[BibT_eX]

[DOI]

CoRR, 2023

Variance-Covariance Regularization Improves Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

EMP-SSL: Towards Self-Supervised Learning in One Training Epoch.

[BibT_eX]

[DOI]

CoRR, 2023

Compact and Optimal Deep Learning with Recurrent Parameter Generators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Simple Emergent Action Representations from Multi-Task Policy Training.

[BibT_eX]

[DOI]

Pu Hua

Yubei Chen

Huazhe Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the duality between contrastive and non-contrastive self-supervised learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2022

Unsupervised Learning of Structured Representations via Closed-Loop Transcription.

[BibT_eX]

[DOI]

CoRR, 2022

Minimalistic Unsupervised Learning with the Sparse Manifold Transform.

[BibT_eX]

[DOI]

CoRR, 2022

Joint Embedding Self-Supervised Learning in the Kernel Regime.

[BibT_eX]

[DOI]

CoRR, 2022

Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Manifold Clustering and Embedding.

[BibT_eX]

[DOI]

CoRR, 2022

Disentangling images with Lie group transformations and sparse coding.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Decoupled Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

3D Shape Reconstruction from Free-Hand Sketches.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Neural Network MCMC Sampler That Maximizes Proposal Entropy.

[BibT_eX]

[DOI]

Zengyi Li

Yubei Chen

Friedrich T. Sommer

Entropy, 2021

Free Hyperbolic Neural Networks with Limited Radii.

[BibT_eX]

[DOI]

CoRR, 2021

Recurrent Parameter Generators.

[BibT_eX]

[DOI]

CoRR, 2021

The 2020 Low-Power Computer Vision Challenge.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors.

[BibT_eX]

[DOI]

Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

2020

The Sparse Manifold Transform and Unsupervised Learning for Signal Representation.

[BibT_eX]

[DOI]

Yubei Chen

PhD thesis, 2020

Orthogonal Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces.

[BibT_eX]

[DOI]

Zengyi Li

Yubei Chen

Friedrich T. Sommer

CoRR, 2019

Word Embedding Visualization Via Dictionary Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Superposition of many models into one.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Sparse Manifold Transform.

[BibT_eX]

[DOI]

Yubei Chen

Dylan M. Paiton

Bruno A. Olshausen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

Orchestrating Cache Management and Memory Scheduling for GPGPU Applications.

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., 2014

2013

Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2013

2012

Providing Source Code Level Portability Between CPU and GPU with MapCG.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2012

2011

Hermes: an integrated CPU/GPU microarchitecture for IP routing.

[BibT_eX]

[DOI]

Yuhao Zhu

Yangdong Deng

Yubei Chen

Proceedings of the 48th Design Automation Conference, 2011

Yubei Chen

Timeline

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On csauthors.net:

Bibliography

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