HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information

Xiao Liu; Spyridon Thermos; Pedro Sanchez; Alison Q. O’Neil; Sotirios A. Tsaftaris

doi:10.1007/978-3-031-25046-0_2

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HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information

Xiao Liu Spyridon Thermos Pedro Sanchez Alison Q. O’Neil Sotirios A. Tsaftaris

Year: 2023 Lecture notes in computer science Pages: 15-21 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-25046-0_2

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Keywords:

Mutual information Computer science Hyperparameter Latent variable Representation (politics) Independence (probability theory) Artificial intelligence Machine learning Unsupervised learning Pointwise mutual information Mathematics Statistics

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Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information

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