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Game-Theoretic Variational Autoencoders by hey “hey boys” boys is a document available to read on EtoBox.

This paper introduces a Game-Theoretic Variational Autoencoder (GT-VAE) that integrates cooperative game theory into the latent optimization process of VAEs to enhance robustness, sparsity, and interpretability of representations. By modeling latent neurons as cooperative players, the framework aims to preserve only the most informative features while effectively managing noise and redundancy in high-dimensional data. The proposed approach addresses limitations of traditional VAEs and existing robust models

Author

hey “hey boys” boys

Language

EN