Abstract: Topic models are widely explored for summarizing a corpus of documents. Recent advances in Variational AutoEncoder (VAE) have enabled the development of black-box inference methods for topic ...
Abstract: Vector quantized variational autoencoders, as variants of variational autoencoders, effectively capture discrete representations by quantizing continuous latent spaces and are widely used in ...
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AI model predicts robberies across US cities with 86.3% accuracy
Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...
A Python implementation of the clustering algorithm presented in: Sheng He, Mingjing Du *, Xiang Jiang, Wenbin Zhang, Congyu Wang. VAEAT: Variational AutoeEncoder with adversarial training for ...
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The ferroelectric memory array performs both probabilistic latent variable sampling using RTN and deterministic decoding based on VMM. Seoul National University College of Engineering announced that a ...
For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
Researchers have demonstrated a ferroelectric memory chip that performs both random sampling and AI computation, paving the ...
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AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
† Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration & Reconstruction, Hong Kong University of Science and Technology, Clear Water Bay, ...
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