{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:45:04Z","timestamp":1730231104351,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"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":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10096888","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks"],"prefix":"10.1109","author":[{"given":"Eun Som","family":"Jeon","sequence":"first","affiliation":[{"name":"Arizona State University,Geometric Media Lab,Tempe,AZ,USA"}]},{"given":"Suhas","family":"Lohit","sequence":"additional","affiliation":[{"name":"Mitsubishi Electric Research Laboratories,Cambridge,MA,USA"}]},{"given":"Rushil","family":"Anirudh","sequence":"additional","affiliation":[{"name":"Lawrence Livermore National Laboratory,Livermore,CA,USA"}]},{"given":"Pavan","family":"Turaga","sequence":"additional","affiliation":[{"name":"Arizona State University,Geometric Media Lab,Tempe,AZ,USA"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-3197"},{"key":"ref12","first-page":"1603","article-title":"Multivariate time series imputation with generative adversarial networks","author":"luo","year":"2018","journal-title":"Neural Information Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01310-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3091800"},{"key":"ref11","first-page":"2272","article-title":"Learning to invert: Signal recovery via deep convolutional networks","author":"mousavi","year":"2017","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553463"},{"key":"ref2","article-title":"Augmix: A simple method to improve robustness and uncertainty under data shift","author":"hendrycks","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref1","article-title":"mixup: Beyond empirical risk minimization","author":"zhang","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00239"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref18","article-title":"Rate-invariant autoencoding of time series","author":"koneripalli","year":"2020","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2962152"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/631"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-24274-9_20"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref20","article-title":"Documentation mocap database hdm05","author":"m\u00fcller","year":"2007","journal-title":"Technical Report CG-2008-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2958185"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.184"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00393"},{"key":"ref27","article-title":"Adversarial training and robustness for multiple perturbations","volume":"32","author":"tram\u00e8r","year":"2019","journal-title":"Neural Information Processing Systems"},{"key":"ref8","article-title":"Wasserstein auto-encoders","author":"tolstikhin","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref7","article-title":"Variational recurrent auto-encoders","author":"fabius","year":"2015","journal-title":"In International Conference on Learning Representations Workshop"},{"article-title":"Comparison of different methods for univariate time series imputation in r","year":"2015","author":"moritz","key":"ref9"},{"key":"ref4","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"International Conference on Learning Representations"},{"article-title":"Explaining and harnessing adversarial examples","year":"2014","author":"goodfellow","key":"ref3"},{"key":"ref6","article-title":"Time-series generative adversarial networks","author":"yoon","year":"2019","journal-title":"Neural Information Processing Systems"},{"key":"ref5","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Neural Information Processing Systems"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10096888.pdf?arnumber=10096888","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:03:40Z","timestamp":1700507020000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096888\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096888","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}