{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T23:31:05Z","timestamp":1725579065274},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,9]]},"DOI":"10.1109\/bibm52615.2021.9669668","type":"proceedings-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T20:40:30Z","timestamp":1642192830000},"page":"364-367","source":"Crossref","is-referenced-by-count":0,"title":["MolBit: De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem"],"prefix":"10.1109","author":[{"given":"Jonghwan","family":"Choi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sangmin","family":"Seo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinuk","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanghyun","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Categorical reparameterization with gumbel-softmax","author":"jang","year":"2016","journal-title":"arXiv preprint arXiv 1611 01144"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/BF00175354"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.5b00559"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky1075"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2020.565644"},{"key":"ref15","article-title":"Syntaxdirected variational autoencoder for structured data","author":"dai","year":"2018","journal-title":"arXiv preprint arXiv 1802 08908"},{"key":"ref16","first-page":"2323","article-title":"Junction tree variational autoencoder for molecular graph generation","author":"jin","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref4","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"arXiv preprint arXiv 1312 6114"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.7b00512"},{"key":"ref6","first-page":"1945","article-title":"Grammar variational autoencoder","author":"kusner","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1021\/acscentsci.7b00572"},{"article-title":"Understanding posterior collapse in generative latent variable models","year":"2019","author":"lucas","key":"ref8"},{"key":"ref7","article-title":"Lagging inference networks and posterior collapse in variational autoencoders","author":"he","year":"2019","journal-title":"arXiv preprint arXiv 1901 10055"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41587-019-0224-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-013-9672-4"},{"key":"ref9","article-title":"Cyclical annealing schedule: A simple approach to mitigating kl vanishing","author":"fu","year":"2019","journal-title":"arXiv preprint arXiv 1903 11593"}],"event":{"name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2021,12,9]]},"location":"Houston, TX, USA","end":{"date-parts":[[2021,12,12]]}},"container-title":["2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9669261\/9669139\/09669668.pdf?arnumber=9669668","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:20Z","timestamp":1652201840000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669668\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,9]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/bibm52615.2021.9669668","relation":{},"subject":[],"published":{"date-parts":[[2021,12,9]]}}}