首页|Patent Application Titled 'Kernel-Elastic Autoencoder' Published Online (USPTO 2 0240404651)
Patent Application Titled 'Kernel-Elastic Autoencoder' Published Online (USPTO 2 0240404651)
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Reporters obtained the following quote from the background information supplied by the inventors:“With the idea of generation, a variety of applications for dr ug discovery and Chemistry are made available [Maziarka et al ., Journal of Cheminformatics, 2020; Moret et al., Nature Machine Intelligence, 2020; Skalicet al., Journal of chemical information and modeling, 2019; Wang et al., Nature Machine Intelligence, 2021]. Variational Autoenc oder (VAE) [Diederik P Kingma and Max Welling. Auto-encoding variational bayes.arXiv preprint arXiv:1312.6114, 2013] stan ds out as a pioneer of generative models. Its versatility inmolecule generation is explored by many works formats such as character [Gomez-B ombarelli et al., ACScentral science, 2018], grammar [Kusner et al., In International conference on machine learning, pages1945-1954. PMLR, 2017], and graph-based [Jin et al., In International conference on machine learning,PMLR, 2018] Variational Autoencoders (VAEs).
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