{"id":256,"date":"2020-10-03T17:49:30","date_gmt":"2020-10-03T17:49:30","guid":{"rendered":"http:\/\/www.physics.lbl.gov\/machinelearning\/?page_id=256"},"modified":"2021-05-02T17:01:08","modified_gmt":"2021-05-02T17:01:08","slug":"reading-materials","status":"publish","type":"page","link":"https:\/\/www.physics.lbl.gov\/machinelearning\/reading-materials\/","title":{"rendered":"Reading Materials"},"content":{"rendered":"<h2 style=\"color: black\">Training Materials<\/h2>\n<ul style=\"color: black\">\n<li>Training Committee&#8217;s <a style=\"color: black\" href=\"https:\/\/docs.google.com\/document\/d\/19vKwVMaQJJonohDpj3M-2K-HUh1fOn1BWhd3fRZ-GvA\/edit\"><u>&#8220;The Hitchhiker&#8217;s Guide to Machine Learning&#8221;<\/u><\/a>  (requires Berkeley email account to view\/edit)<\/li>\n<\/ul>\n<h2 style=\"color: black\">Reviews<\/h2>\n<p style=\"color: black\"><a style=\"color: black\" href=\"https:\/\/iml-wg.github.io\/HEPML-LivingReview\/\"><u>Living Review of ML for Particle Physics<\/u><\/a>: <em>As the name suggests, this is a review of machine learning in particle physics that is updated on a daily basis. <a style=\"color: black\" href=\"https:\/\/github.com\/iml-wg\/HEPML-LivingReview\"><u>Merge requests<\/u><\/a> are welcome!<\/em><\/p>\n<ul style=\"color: black\">\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/1709.04464\"><u>Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/1806.11484\"><u>Deep Learning and its Application to LHC Physics<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/1807.02876\"><u>Machine Learning in High Energy Physics Community White Paper<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/doi.org\/10.1038\/s41586-018-0361-2\"><u>Machine learning at the energy and intensity frontiers of particle physics<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/1912.08245\"><u>Machine and Deep Learning Applications in Particle Physics<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/1902.09914\"><u>The Machine Learning Landscape of Top Taggers<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/2007.09121\"><u>Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/2007.13681\"><u>Graph Neural Networks in Particle Physics<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/2008.01242\"><u>A Review on Machine Learning for Neutrino Experiments<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/2008.08558\"><u>Generative Networks for LHC events<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/arxiv.org\/abs\/2008.12305\"><u>Parton distribution functions<\/u><\/a><\/li>\n<\/ul>\n<h2 style=\"color: black\">Useful Links<\/h2>\n<ul style=\"color: black\">\n<li><a style=\"color: black\" href=\"https:\/\/ml4sci.lbl.gov\"><u>Labwide Machine Learning for Science Website (ml4sci)<\/u><\/a><\/li>\n<li><a style=\"color: black\" href=\"https:\/\/iml.web.cern.ch\"><u>CERN inter-experimental Machine Learning Working Group<\/u><\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Training Materials Training Committee&#8217;s &#8220;The Hitchhiker&#8217;s Guide to Machine Learning&#8221; (requires Berkeley email account to view\/edit) Reviews Living Review of ML for Particle Physics: As the name suggests, this is a review of machine learning in particle physics that is &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"more-link\" href=\"https:\/\/www.physics.lbl.gov\/machinelearning\/reading-materials\/\"> <span class=\"screen-reader-text\">Reading Materials<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":86,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/pages\/256"}],"collection":[{"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/users\/86"}],"replies":[{"embeddable":true,"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/comments?post=256"}],"version-history":[{"count":14,"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/pages\/256\/revisions"}],"predecessor-version":[{"id":352,"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/pages\/256\/revisions\/352"}],"wp:attachment":[{"href":"https:\/\/www.physics.lbl.gov\/machinelearning\/wp-json\/wp\/v2\/media?parent=256"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}