{"id":273,"date":"2020-05-01T20:00:04","date_gmt":"2020-05-01T20:00:04","guid":{"rendered":"https:\/\/hicup.famnit.upr.si\/?p=273"},"modified":"2020-12-25T18:01:53","modified_gmt":"2020-12-25T18:01:53","slug":"parameter-selection-for-generative-art-with-bayesian-optimisation","status":"publish","type":"post","link":"https:\/\/hicup.famnit.upr.si\/index.php\/2020\/05\/01\/parameter-selection-for-generative-art-with-bayesian-optimisation\/","title":{"rendered":"Parameter selection for generative art with Bayesian optimisation"},"content":{"rendered":"\n<p>This is hacketon entry of OPTIVINCI team that won the hacketon of the 5th Computational Interaction Summer School at Columbia University, New York, USA. The entry utilizes Bayesian optimization for parameter tuning of image filters which evolve based on crowdsourced ratings.<\/p>\n\n\n\n<p>Team members:<br>Lucas Vordemann<br>Salma Thalji<br>Wenzhe Cui<br>Klen \u010copi\u010d Pucihar<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"OPTIVINCI: Parameter selection for generative art with Bayesian optimization and crowdsourcing\" width=\"960\" height=\"540\" src=\"https:\/\/www.youtube.com\/embed\/VcLTPlpOaIM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>This is hacketon entry of OPTIVINCI team that won the hacketon of the 5th Computational Interaction Summer School at Columbia&hellip;<\/p>\n","protected":false},"author":1,"featured_media":1013,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-273","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects"],"_links":{"self":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts\/273","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/comments?post=273"}],"version-history":[{"count":2,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts\/273\/revisions"}],"predecessor-version":[{"id":1010,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/posts\/273\/revisions\/1010"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/media\/1013"}],"wp:attachment":[{"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/media?parent=273"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/categories?post=273"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hicup.famnit.upr.si\/index.php\/wp-json\/wp\/v2\/tags?post=273"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}