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2007.06503
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PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders
13 July 2020
Yanjun Li
Shujian Yu
José C. Príncipe
Xiaolin Li
D. Wu
DRL
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Papers citing
"PRI-VAE: Principle-of-Relevant-Information Variational Autoencoders"
4 / 4 papers shown
FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
Sichen Zhao
Wei Shao
J. Chan
Ziqi Xu
Flora D. Salim
283
1
0
11 Aug 2025
Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval
Yufeng Shi
Shujian Yu
Duanquan Xu
Xinge You
153
1
0
26 Sep 2022
Principle of Relevant Information for Graph Sparsification
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Shujian Yu
Francesco Alesiani
Wenzhe Yin
Robert Jenssen
José C. Príncipe
283
15
0
31 May 2022
Measuring disentangled generative spatio-temporal representation
SDM (SDM), 2022
Sichen Zhao
Wei Shao
Jeffrey Chan
Flora D. Salim
DRL
AI4TS
204
3
0
10 Feb 2022
1
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