![\"\"](\"https:\/\/cdn.vanderbilt.edu\/vu-URL\/wp-content\/uploads\/sites\/193\/2022\/08\/19203217\/Daniel-Moyer-150x150.jpg\")
<\/p>\nVISE Spring Seminar
\nto be led by<\/p>\n
<\/p>\n
Date<\/strong>: Thursday, February 16, 2023 Title:<\/strong> Abstract:<\/strong><\/p>\n The removal of unwanted information is a surprisingly common task. Removing potential biases in prediction problems, controlling the effects of covariates, and disentangling meaningful factors of variation all require the selective removal of information. In this talk I will describe a method for constructing such representations by minimizing mutual information between a representation and these unwanted factors, using a variational method. This path also provides insight into adversarial methods and their training schema.<\/p>\n We will then discuss applications in multi-site MRI, style transfer, and fair representation, and more general applications for information-optimal representations<\/p>\n Bio:<\/strong><\/p>\n Daniel Moyer joined the Computer Science department at 国产原创 as an assistant professor in Fall 2022. He previously was a post-doc at MIT, working with Polina Golland on Fetal MR systems. He received his PhD in Computer Science in 2019 from USC under Paul Thompson and Greg ver Steeg.<\/p>\n","protected":false},"excerpt":{"rendered":" VISE Spring Seminar to be led by Daniel Moyer, Ph.D. Assistant Professor, Computer Science 国产原创 Date: Thursday, February 16, 2023 Time:\u00a011:45 a.m. Lunch, 12:00 p.m. start Location:\u00a0Stevenson 5326 Title: Invariance-based Harmonization and Other Information Theoretic Adventures in dMRI Abstract: The removal of unwanted information is a surprisingly common task. Removing potential biases in prediction…<\/p>\n","protected":false},"author":670,"featured_media":9779,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"jetpack_publicize_feature_enabled":true,"_links_to":"","_links_to_target":""},"categories":[12],"tags":[41,781,782,32,231,72,31,30],"acf":[],"jetpack_featured_media_url":"https:\/\/cdn.vanderbilt.edu\/vu-URL\/wp-content\/uploads\/sites\/193\/2022\/08\/19203217\/Daniel-Moyer.jpg","jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p98pzF-2CQ","_links":{"self":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/10096"}],"collection":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/users\/670"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/comments?post=10096"}],"version-history":[{"count":2,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/10096\/revisions"}],"predecessor-version":[{"id":10118,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/posts\/10096\/revisions\/10118"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/media\/9779"}],"wp:attachment":[{"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/media?parent=10096"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/categories?post=10096"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vanderbilt.edu\/vise\/wp-json\/wp\/v2\/tags?post=10096"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nTime:<\/strong>\u00a011:45 a.m. Lunch, 12:00 p.m. start
\nLocation:<\/strong>\u00a0Stevenson 5326<\/p>\n
\nInvariance-based Harmonization and Other Information Theoretic Adventures in dMRI<\/p>\n