{"id":666,"date":"2018-05-14T10:15:30","date_gmt":"2018-05-14T14:15:30","guid":{"rendered":"https:\/\/events.mcs.cmu.edu\/mlse\/?page_id=666"},"modified":"2018-06-05T16:34:11","modified_gmt":"2018-06-05T20:34:11","slug":"physics-program","status":"publish","type":"page","link":"https:\/\/events.mcs.cmu.edu\/mlse\/physics-program\/","title":{"rendered":"Physics Program"},"content":{"rendered":"<div id=\"pl-666\" class=\"panel-layout\">\n<div id=\"pg-666-0\" class=\"panel-grid panel-no-style\">\n<div id=\"pgc-666-0-0\" class=\"panel-grid-cell\">\n<div id=\"panel-666-0-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child panel-last-child\">\n<div class=\"so-widget-sow-editor so-widget-sow-editor-base\">\n<div class=\"siteorigin-widget-tinymce textwidget\">\n<p>June 7th<\/p>\n<ul>\n<li>Physics Track: Machine Learning in Large Physics Experiments<\/li>\n<li>9:00-9:40 &#8211; Hunter Gabbard (LIGO)<\/li>\n<li>9:40-10:20 &#8211; Michael Wood-Vasey ( of Pittsburgh)<\/li>\n<li>10:20-10:40 &#8211; Rachel Mandelbaum (CMU) \u2013 \u201cDeep learning applications to astronomical imaging\u201d<\/li>\n<li>break<\/li>\n<li>11:00-11:40 &#8211; Sergei Gleyzer (University of Florida) \u2013 \u201cMachine Learning at the Large Hadron Collider\u201d<\/li>\n<li>11:40-12:00 &#8211; Mauro Verzetti ( of Rochester) \u2013 \u201cMachine learning techniques for jet flavour identification at CMS\u201d<\/li>\n<li>12:00-12:20 &#8211; Michael Andrews (CMU) \u2013 \u201cEnd-to-end Deep Learning Applications for Event Classification in CMS\u201d<\/li>\n<li>12:30-1:30 &#8211; lunch\/posters<\/li>\n<li>1:30-2:30 &#8211; plenary<\/li>\n<li>Physics Track: Machine Learning in Large Physics Experiments<\/li>\n<li>2:30-3:10 &#8211; Michael Richman (IceCube) &#8211; &#8220;<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract-mdr-icecube.docx\"><span>Machine Learning Applications in Neutrino Astrophysics with IceCube<\/span><\/a>&#8220;<\/li>\n<li>3:10-3:50 &#8211; Alex Malz (NYU) \u2013 \u201cHow to advance cosmology with the data products of machine learning\u201d<\/li>\n<li>3:50-4:00 &#8211; discussion time<\/li>\n<li>break<\/li>\n<li>4:30-4:50 &#8211; Bennett Marsh (UC Santa Barbara) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract-bmarsh.docx\">Monitoring Tools for the Muon System in the Compact Muon Solenoid Detector<\/a>\u201d<\/li>\n<li>4:50-5:10 &#8211; Lucio Anderlini (INFN Firenze) \u2013 \u201cAdvanced machine-learning solutions in LHCb operations and data analysis\u201d<\/li>\n<li>5:10-5:30 &#8211; Kamil Deja (Warsaw University of Technology) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/ML-in-ALICE.docx\">Using Machine Learning Methods for Improving Data Quality in the ALICE Experiment\u201d<\/a><\/li>\n<li>5:30-5:50 &#8211; Simon Wilson (Trinity College Dublin) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/Simon-Wilson-MLSE-abstract.docx\">Scalable Bayesian source separation applied to the Cosmic Microwave Background\u201d<\/a><\/li>\n<\/ul>\n<p>June 8th<\/p>\n<ul>\n<li>Physics Track: Emerging Physics from Data<\/li>\n<li>9:00-9:40 &#8211; Gautham Narayan (Space Telescope Science Institute) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-Abstract-Narayan.doc\">Using Machine Leaning to Identify Things That Go Bump in the Night<\/a>\u201d<\/li>\n<li>9:40-10:20 &#8211; Daniel Tamayo (University of Toronto) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLconfabstract.docx\">Predicting the Fate of Planetary Systems Using Supervised Learning<\/a>\u201d<\/li>\n<li>10:20-10:40 &#8211; William Heller (Oak Ridge National Laboratory) &#8211; <a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/wtheller_MLSE_abstract.pdf\">TBA<\/a><\/li>\n<li>break<\/li>\n<li>11:00-11:40 &#8211; Gabriel Perdue (Fermilab) \u2013 \u201cOverview of ML applications in non-LHC particle physics experiments\u201d<\/li>\n<li>11:40-12:00 &#8211; Raphael Friese ( f\u00fcr Exp. Kernphysik Karlsruhe) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-abstract-friese.docx\">Mass regression with deep neural networks<\/a>\u201d<\/li>\n<li>12:00-12:20 &#8211; Zhenbin Wu (University of Illinois at Chicago) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/Zhenbin_HLS4ML_CMUAbstract-1.docx\">Implementing Machine Learning Algorithms on FPGA<\/a>s\u201d<\/li>\n<li>12:30-1:30 &#8211; lunch\/posters<\/li>\n<li>1:30-2:30 &#8211; plenary<\/li>\n<li>Physics Track: Computational Physics &amp; Theory<\/li>\n<li>2:30-3:10 &#8211; Karan Jani (LIGO)<\/li>\n<li>3:10-3:30 &#8211;<\/li>\n<li>3:30-3:50 &#8211; Matthew Ho (CMU) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE-Abstract.pdf\">Improving Mass Measurements of Galaxy Clusters through Applications of Machine Learning<\/a>\u201d<\/li>\n<li>break<\/li>\n<li>4:30-4:40 &#8211; 2 x 5 min Poster Presentations<\/li>\n<li>4:40-5:20 &#8211; Etienne Bachelet (Las Cumbres Observatory) \u2013 \u201c<a href=\"https:\/\/events.mcs.cmu.edu\/mlse\/wp-content\/uploads\/sites\/2\/ninja-forms\/2\/MLSE_EB_abstract-1.odt\">Exoplanet detection with Machine Learning\u201d<\/a><\/li>\n<li>5:30-6:00<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>June 7th Physics Track: Machine Learning in Large Physics Experiments 9:00-9:40 &#8211; Hunter Gabbard (LIGO) 9:40-10:20 &#8211; Michael Wood-Vasey ( of Pittsburgh) 10:20-10:40 &#8211; Rachel Mandelbaum (CMU) \u2013 \u201cDeep learning applications to astronomical imaging\u201d break 11:00-11:40 &#8211; Sergei Gleyzer (University of Florida) \u2013 \u201cMachine Learning at the Large Hadron Collider\u201d [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-666","page","type-page","status-publish","has-post-thumbnail","hentry"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/P9mDlk-aK","_links":{"self":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages\/666","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/comments?post=666"}],"version-history":[{"count":12,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages\/666\/revisions"}],"predecessor-version":[{"id":988,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/pages\/666\/revisions\/988"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/media\/5"}],"wp:attachment":[{"href":"https:\/\/events.mcs.cmu.edu\/mlse\/wp-json\/wp\/v2\/media?parent=666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}