{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:41:31Z","timestamp":1730230891852,"version":"3.28.0"},"reference-count":24,"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\/icassp49357.2023.10096456","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":0,"title":["Multi-Resolution Sequence Aggregation and Model-Agnostic Framework for Time-Series Forecasting"],"prefix":"10.1109","author":[{"given":"Juhyun","family":"Lyu","sequence":"first","affiliation":[{"name":"LG AI Research,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinseok","family":"Yang","sequence":"additional","affiliation":[{"name":"LG AI Research,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junghee","family":"Kim","sequence":"additional","affiliation":[{"name":"LG AI Research,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Woohyung","family":"Lim","sequence":"additional","affiliation":[{"name":"LG AI Research,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wonbin","family":"Ahn","sequence":"additional","affiliation":[{"name":"LG AI Research,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongwan","family":"Kang","sequence":"additional","affiliation":[{"name":"LG AI Research,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minjae","family":"Kim","sequence":"additional","affiliation":[{"name":"LG AI Research,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nam Soo","family":"Kim","sequence":"additional","affiliation":[{"name":"Seoul National University,Department of Electrical and Computer Engineering and INMC,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Scinet: Time series modeling and forecasting with sample convolution and interaction","author":"liu","year":"2022","journal-title":"Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) 2022"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3141\/1748-12"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/72.728396"},{"key":"ref23","first-page":"4651","article-title":"Perceiver: General perception with iterative attention","author":"jaegle","year":"2021","journal-title":"International Conference on Machine Learning"},{"key":"ref15","article-title":"A multiscale interactive recurrent network for time-series forecasting","author":"chen","year":"2021","journal-title":"IEEE Transactions on Cybernetics"},{"key":"ref14","article-title":"Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting","author":"liu","year":"2021","journal-title":"International Conference on Learning Representations"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP52302.2021.9596082"},{"key":"ref11","article-title":"Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting","volume":"32","author":"li","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref22","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"22419","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","volume":"34","author":"wu","year":"2021","journal-title":"Advances in neural information processing systems"},{"journal-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","year":"2018","author":"bai","key":"ref21"},{"journal-title":"Designing and Managing the Supply Chain Concepts Strategies and Cases","year":"1999","author":"simchi-levi","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.07.001"},{"journal-title":"Multi-resolution attention with signal splitting for multivariate time series classification","year":"0","author":"uppaal","key":"ref17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3051872"},{"key":"ref19","article-title":"Temporal film: Capturing long-range sequence dependencies with feature-wise modulations","volume":"32","author":"birnbaum","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref18","article-title":"Audio super-resolution using neural nets","author":"kuleshov","year":"2017","journal-title":"ICLR (workshop track)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-27752-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747564"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04954-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2003.09.015"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2307\/2284333"}],"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\/10096456.pdf?arnumber=10096456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:08:02Z","timestamp":1700507282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096456\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096456","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}