{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:37:37Z","timestamp":1772933857897,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Korea government","doi-asserted-by":"publisher","award":["2022-0-00857"],"award-info":[{"award-number":["2022-0-00857"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11401567","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"54-63","source":"Crossref","is-referenced-by-count":0,"title":["TSGM: Regular and Irregular Time-Series Generation Using Score-Based Generative Models"],"prefix":"10.1109","author":[{"given":"Haksoo","family":"Lim","sequence":"first","affiliation":[{"name":"KAIST,Seoul,Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaehoon","family":"Lee","sequence":"additional","affiliation":[{"name":"LG AI Research,Seoul,Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sewon","family":"Park","sequence":"additional","affiliation":[{"name":"Samsung SDS,Seoul,Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minjung","family":"Kim","sequence":"additional","affiliation":[{"name":"Samsung SDS,Seoul,Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noseong","family":"Park","sequence":"additional","affiliation":[{"name":"KAIST,Daejeon,Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/07474938.2010.481556"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2010.09.007"},{"key":"ref3","volume-title":"Neural ordinary differential equations","author":"Chen","year":"2018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59137-3_34"},{"key":"ref5","author":"Desai","year":"2021","journal-title":"Timevae: A variational auto-encoder for multivariate time series generation"},{"key":"ref6","article-title":"Time-series generative adversarial networks","author":"Yoon","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref7","volume-title":"Gt-gan: General purpose time series synthesis with generative adversarial networks","author":"Jeon","year":"2022"},{"issue":"3","key":"ref8","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1093\/biomet\/63.3.581","article-title":"Inference and missing data","volume":"63","author":"Rubin","year":"1976","journal-title":"Biometrika"},{"issue":"2","key":"ref9","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1037\/1082-989X.7.2.147","article-title":"Missing data: our view of the state of the art","volume":"7","author":"Schafer","year":"2002","journal-title":"Psychological methods"},{"key":"ref10","article-title":"Recurrent neural networks for multivariate time series with missing values","volume":"8","author":"Che","year":"2016","journal-title":"Scientific Reports"},{"key":"ref11","article-title":"Neural controlled differential equations for irregular time series","volume":"abs\/2005.08926","author":"Kidger","year":"2020","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3626235"},{"key":"ref13","article-title":"Autoregressive score matching","volume":"abs\/2010.12810","author":"Meng","year":"2020","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.101.23.e215"},{"key":"ref15","article-title":"Gru-ode-bayes: Continuous modeling of sporadically-observed time series","volume":"abs\/1905.12374","author":"Brouwer","journal-title":"CoRR"},{"issue":"86","key":"ref16","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"Journal of machine learning research"},{"key":"ref17","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"International Conference on Learning Representations","author":"Song","year":"2021"},{"key":"ref18","article-title":"Generative modeling by estimating gradients of the data distribution","author":"Song","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"International Conference on Machine Learning","author":"Sohl-Dickstein","year":"2015"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4149(82)90051-5"},{"key":"ref21","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"24","key":"ref22","first-page":"695","article-title":"Estimation of non-normalized statistical models by score matching","volume":"6","author":"Hyv\u00e4rinen","year":"2005","journal-title":"Journal of Machine Learning Research"},{"key":"ref23","article-title":"Sliced score matching: A scalable approach to density and score estimation","volume":"abs\/1905.07088","author":"Song","year":"2019","journal-title":"CoRR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00142"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1017\/9781108186735"},{"key":"ref26","first-page":"7805","article-title":"Modeling continuous stochastic processes with dynamic normalizing flows","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Deng","year":"2020"},{"key":"ref27","article-title":"Tackling the generative learning trilemma with denoising diffusion GANs","volume-title":"International Conference on Learning Representations","author":"Xiao","year":"2022"},{"key":"ref28","article-title":"Smoothness and stability in GANs","volume-title":"International Conference on Learning Representations","author":"Chu","year":"2020"},{"key":"ref29","author":"Esteban","year":"2017","journal-title":"Real-valued (medical) time series generation with recurrent conditional GANs"},{"key":"ref30","article-title":"C-RNN-GAN: A continuous recurrent neural network with adversarial training","volume-title":"Constructive Machine Learning Workshop (CML) at NeurIPS 2016","author":"Mogren","year":"2016"},{"key":"ref31","article-title":"Cot-gan: Generating sequential data via causal optimal transport","author":"Xu","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref32","article-title":"Adversarial audio synthesis","volume-title":"International Conference on Learning Representations","author":"Donahue","year":"2019"},{"key":"ref33","article-title":"Learning phrase representations using RNN encoderdecoder for statistical machine translation","volume":"abs\/1406.1078","author":"Cho","year":"2014","journal-title":"CoRR"},{"key":"ref34","article-title":"On the properties of neural machine translation: Encoder-decoder approaches","volume":"abs\/1409.1259","author":"Cho","year":"2014","journal-title":"CoRR"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539454"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.01.083"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2007.09.060"},{"key":"ref39","volume-title":"Ai4i 2020 predictive maintenance dataset","author":"Matzka","year":"2020"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.31390\/gradschool_dissertations.4601"},{"key":"ref41","first-page":"1017","article-title":"Generating text with recurrent neural networks","volume-title":"Proceedings of the 28th International Conference on International Conference on Machine Learning","author":"Sutskever","year":"2011"},{"key":"ref42","article-title":"Professor forcing: A new algorithm for training recurrent networks","author":"Goyal","year":"2016","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref43","article-title":"Generative modeling of regular and irregular time series data via koopman VAEs","volume-title":"The Twelfth International Conference on Learning Representations","author":"Naiman","year":"2024"},{"key":"ref44","volume-title":"Diffusion-ts: Interpretable diffusion for general time series generation","author":"Yuan","year":"2024"},{"key":"ref45","volume-title":"A study on sample diversity in generative models: GANs vs. diffusion models","author":"Bayat","year":"2023"},{"key":"ref46","article-title":"Analyzing and improving the image quality of stylegan","volume":"abs\/1912.04958","author":"Karras","year":"2019","journal-title":"CoRR"},{"key":"ref47","article-title":"Gotta go fast when generating data with score-based models","volume":"abs\/2105.14080","author":"Jolicoeur-Martineau","year":"2021","journal-title":"CoRR"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11401567.pdf?arnumber=11401567","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T06:53:42Z","timestamp":1772866422000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11401567\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11401567","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}