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The training of sensor locations is accomplished using an end-to-end workflow, ensuring differentiability in the interpolation of field values associated to the sensors, and is simple to implement using differentiable programming. Additionally, we have incorporated a correction mechanism to prevent sensors from entering invalid regions within the domain. We evaluated our method using two distinct datasets; the results show that our approach enhances learning, as evidenced by improved test scores.<\/jats:p>","DOI":"10.1088\/2632-2153\/ad4e06","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T22:42:50Z","timestamp":1716244970000},"page":"025070","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Journey over destination: dynamic sensor placement enhances generalization"],"prefix":"10.1088","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9934-9004","authenticated-orcid":true,"given":"Agnese","family":"Marcato","sequence":"first","affiliation":[]},{"given":"Eric","family":"Guiltinan","sequence":"additional","affiliation":[]},{"given":"Hari","family":"Viswanathan","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"O\u2019Malley","sequence":"additional","affiliation":[]},{"given":"Nicholas","family":"Lubbers","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2404-3975","authenticated-orcid":true,"given":"Javier E","family":"Santos","sequence":"additional","affiliation":[]}],"member":"266","published-online":{"date-parts":[[2024,6,18]]},"reference":[{"key":"mlstad4e06bib1","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/MGRS.2015.2441912","volume":"3","author":"Shen","year":"2015","journal-title":"IEEE Geosci. 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