Open AccessDE NOVO DRUG DESIGN WITH DEEP GENERATIVE MODELS : AN EMPIRICAL STUDY
Author(s) -
Mehdi Cherti,
Balázs Kégl,
Akın Kazakçı
Publication year - 2017
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - generative grammar , computer science , context (archaeology) , artificial intelligence , generative model , set (abstract data type) , machine learning , stochastic optimization , sampling (signal processing) , empirical research , mathematical optimization , mathematics , statistics , paleontology , filter (signal processing) , computer vision , biology , programming language