{"id":32269,"date":"2026-01-21T17:01:36","date_gmt":"2026-01-21T17:01:36","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/timely-ml\/"},"modified":"2026-06-08T13:19:04","modified_gmt":"2026-06-08T13:19:04","slug":"timely-ml","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/timely-ml\/","title":{"rendered":"Timely {ML}"},"content":{"rendered":"<p>We propose two complementary research directions, \u201cTime for {ML}\u201d and \u201c{ML} for Time\u201d, that we believe to be critical for the deployment of machine-learning ({ML}) applications in time-sensitive applications. \u201cTime for {ML}\u201d refers to {ML} systems that are aware of and can adapt to dynamic time constraints regarding their execution, while \u201c{ML} for Time\u201d refers to {ML} systems that are aware of and can deal with data\u2019s temporal aspects, such as misalignment. We believe these two directions are complementary and can be combined to provide more robust and reliable machine learning systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We propose two complementary research directions, \u201cTime for {ML}\u201d and \u201c{ML} for Time\u201d, that we believe to be critical for the deployment of machine-learning ({ML}) applications in time-sensitive applications. \u201cTime for {ML}\u201d refers to {ML} systems that are aware of and can adapt to dynamic time constraints regarding their execution, while \u201c{ML} for Time\u201d refers to {ML} systems that are aware of and can deal with data\u2019s temporal aspects, such [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[30],"class_list":["post-32269","publication","type-publication","status-publish","hentry","publication-type-article"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32269","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32269\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32269"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32269"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}