{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:15:00Z","timestamp":1767651300830},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"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":[[2022,11,1]]},"DOI":"10.1109\/itw54588.2022.9965879","type":"proceedings-article","created":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T15:47:00Z","timestamp":1670428020000},"page":"208-213","source":"Crossref","is-referenced-by-count":1,"title":["Symbolic Regression for Data Storage with Side Information"],"prefix":"10.1109","author":[{"given":"Xiangwu","family":"Zuo","sequence":"first","affiliation":[{"name":"Texas A&M Univ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anxiao Andrew","family":"Jiang","sequence":"additional","affiliation":[{"name":"Texas A&M Univ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Netanel","family":"Raviv","sequence":"additional","affiliation":[{"name":"Washington Univ,CSE Dept,St. Louis"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul H.","family":"Siegel","sequence":"additional","affiliation":[{"name":"Univ. of California,ECE Dept,San Diego"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3017010"},{"key":"ref11","article-title":"Deep learning for symbolic mathematics","author":"lample","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref12","first-page":"5979","article-title":"Discovering symbolic policies with deep reinforcement learning","author":"landajuela","year":"2021","journal-title":"Proc International Conference on Machine Learning"},{"key":"ref13","article-title":"Bad page detector for NAND flash memory","author":"liu","year":"0","journal-title":"The 11th Annu Non-Volatile Memories Workshop"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/1021378"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.103"},{"key":"ref16","article-title":"Symbolic regression via neural-guided genetic programming population seeding","author":"mundhenk","year":"2021","journal-title":"arXiv preprint arXiv 2111 02269"},{"key":"ref17","article-title":"Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients","author":"petersen","year":"2021","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref18","article-title":"Learning equations for extrapolation and control","author":"sahoo","year":"2018","journal-title":"arXiv 1806 07259"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1126\/science.1165893"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185526"},{"key":"ref27","article-title":"Modeling flash memory channels using conditional generative nets","author":"zheng","year":"2021","journal-title":"arXiv 2111 10039"},{"key":"ref3","first-page":"2395","article-title":"A genetic programming-based wrapper imputation method for symbolic regression with in-complete data","author":"al-helali","year":"2019","journal-title":"Proc IEEE Symposium Series on Computational Intelligence (SSCI)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2683489"},{"key":"ref5","article-title":"Deep DNA storage: scalable and robust DNA storage via coding theory and deep learning","author":"bar-lev","year":"2021","journal-title":"arXiv 2109 00031"},{"key":"ref8","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018","journal-title":"arXiv preprint arXiv 1801 01000"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-3744-3_25"},{"key":"ref2","article-title":"Guiding deep molecular optimization with genetic exploration","author":"ahn","year":"2020","journal-title":"Proc Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2991430"},{"key":"ref1","article-title":"Neural program synthesis with priority queue training","author":"abolafia","year":"2018","journal-title":"arXiv preprint arXiv 1801 03186"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1569901.1570048"},{"key":"ref22","article-title":"An application of machine learning to bad page prediction in multilevel flash","author":"sree prem","year":"0","journal-title":"M S thesis Electr Comput Eng"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2008.919006"},{"key":"ref24","article-title":"AI Feynman 2.0: pareto-optimal symbolic regression exploiting graph modularity","author":"udrescu","year":"2020","journal-title":"Proc 34th Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aay2631"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-010-9121-2"}],"event":{"name":"2022 IEEE Information Theory Workshop (ITW)","start":{"date-parts":[[2022,11,1]]},"location":"Mumbai, India","end":{"date-parts":[[2022,11,9]]}},"container-title":["2022 IEEE Information Theory Workshop (ITW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9965754\/9965755\/09965879.pdf?arnumber=9965879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T14:42:28Z","timestamp":1672065748000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9965879\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/itw54588.2022.9965879","relation":{},"subject":[],"published":{"date-parts":[[2022,11,1]]}}}