Open AccessUsing Dimension Reduction Methods on the Latent Space of Molecules
Author(s) -
György Józsa,
Péter Sárközy
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3311/minisy2022-016
Subject(s) - computer science , dimensionality reduction , autoencoder , chemical space , visualization , dimension (graph theory) , artificial intelligence , space (punctuation) , reduction (mathematics) , process (computing) , hyperparameter , embedding , algorithm , machine learning , theoretical computer science , deep learning , drug discovery , mathematics , geometry , bioinformatics , biology , operating system , pure mathematics
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