{"id":32749,"date":"2026-01-21T17:02:33","date_gmt":"2026-01-21T17:02:33","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/qunfold-composable-quantification-and-unfolding-methods-in-python\/"},"modified":"2026-09-17T11:25:59","modified_gmt":"2026-09-17T11:25:59","slug":"qunfold-composable-quantification-and-unfolding-methods-in-python","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/qunfold-composable-quantification-and-unfolding-methods-in-python\/","title":{"rendered":"{q}unfold: Composable Quantification and Unfolding Methods in {P}ython"},"content":{"rendered":"<p>We present qunfold, a Python package that implements several quantification and unfolding methods. A unique capability of qunfold is the composition of novel methods from existing and easily customized loss functions and data representations. Moreover, this package leverages a powerful optimization back-end to yield state-of-the-art performances for all compositions. This paper introduces the common usage patterns for qunfold, revisits the technical background of the package, and empirically demonstrates the resulting performance.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present qunfold, a Python package that implements several quantification and unfolding methods. A unique capability of qunfold is the composition of novel methods from existing and easily customized loss functions and data representations. Moreover, this package leverages a powerful optimization back-end to yield state-of-the-art performances for all compositions. This paper introduces the common usage patterns for qunfold, revisits the technical background of the package, and empirically demonstrates the resulting [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[32],"class_list":["post-32749","publication","type-publication","status-publish","hentry","publication-type-inproceedings"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32749","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\/14"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32749\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32749"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}