A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This paper proposes a method to enable diffusion transformers to operate effectively within latent spaces by integrating representation autoencoders.
Riccardo Miotto, Li Li, Brian Kidd, et al.
Unsupervised deep feature learning with stacked denoising autoencoders on EHRs of ~700k patients yields a general-purpose patient representation that significantly improves predictive modeling for 78 diseases.
Diederik P. Kingma, Max Welling
This paper provides a comprehensive introduction to variational autoencoders, a principled framework for learning deep latent-variable models and inference models.