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Shujian Yu

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Information Theoretic Structured Generative Modeling

Oct 12, 2021
Bo Hu, Shujian Yu, Jose C. Principe

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Learning to Transfer with von Neumann Conditional Divergence

Aug 07, 2021
Ammar Shaker, Shujian Yu

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Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional

Jan 31, 2021
Xi Yu, Shujian Yu, Jose C. Principe

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Measuring Dependence with Matrix-based Entropy Functional

Jan 25, 2021
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jose C. Principe

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Modular-Relatedness for Continual Learning

Nov 02, 2020
Ammar Shaker, Shujian Yu, Francesco Alesiani

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Bilevel Continual Learning

Nov 02, 2020
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin

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Learning an Interpretable Graph Structure in Multi-Task Learning

Sep 11, 2020
Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin

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Towards Interpretable Multi-Task Learning Using Bilevel Programming

Sep 11, 2020
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin

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PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders

Jul 13, 2020
Yanjun Li, Shujian Yu, Jose C. Principe, Xiaolin Li, Dapeng Wu

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Modularizing Deep Learning via Pairwise Learning With Kernels

May 12, 2020
Shiyu Duan, Shujian Yu, Jose Principe

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