{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/miner-multiscale-implicit-neural","title":"MINER: Multiscale Implicit Neural Representations","arxiv_id":"2202.03532","date":"2022-02-07","proceeding":null,"authors":["Vishwanath Saragadam","Jasper Tan","Guha Balakrishnan","Richard G. Baraniuk","Ashok Veeraraghavan"],"abstract":"We introduce a new neural signal model designed for efficient high-resolution representation of large-scale signals. 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