{"675628":{"#nid":"675628","#data":{"type":"event","title":"PhD Defense by Tianrong Chen","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EBridging the Connection between Deep Learning and Stochastic Optimal Control\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EMonday, July 29th, 2024\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime\u003C\/strong\u003E: 3:00PM-5:00PM EST (12:00 PM to 2:00 PM PST)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation and remote link:\u0026nbsp;\u003C\/strong\u003ECoda C0915 Atlantic, (\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/6943444592?pwd=b7kidU38Qn66epIlqa805MGu6QZyyU.1\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/6943444592?pwd=b7kidU38Qn66epIlqa805MGu6QZyyU.1\u003C\/a\u003E)\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETianrong Chen\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EECE PhD Student\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittees:\u003C\/strong\u003E\u003C\/p\u003E\u003Col type=\u00221\u0022\u003E\u003Cli\u003EDr. Evangelos Theodorou (School of Aerospace Engineering, Georgia Tech; Advisor)\u003C\/li\u003E\u003Cli\u003EDr. Matthieu Bloch (School of Electrical and Computer Engineering, Georgia Tech; Co-Advisor)\u003C\/li\u003E\u003Cli\u003EDr. Justin Romberg (School of Electrical and Computer Engineering, Georgia Tech)\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/li\u003E\u003Cli\u003EDr. Molei Tao (School of Mathematics, Georgia Tech)\u003C\/li\u003E\u003Cli\u003EDr. Yao Xie (School of Industrial and Systems Engineering, Georgia tech)\u003C\/li\u003E\u003Cli\u003EDr. Shuangfei zhai (Apple Machine Learning Research)\u003C\/li\u003E\u003C\/ol\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EGenerative models have gained significant popularity in recent years, and Stochastic Optimal Control soc has also advanced rapidly in parallel. This thesis addresses the problem of understanding dynamical generative models from the perspective of Stochastic Optimal Control, thereby providing insights from the well-established Stochastic Optimal Control theory. Additionally, it explores the challenges of high-dimensional Stochastic Optimal Control by leveraging deep learning techniques. Through this dual approach, the research aims to enhance the theoretical understanding and practical application of generative models and Stochastic Optimal Control in complex, high-dimensional environments.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EBridging the Connection between Deep Learning and Stochastic Optimal Control\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Bridging the Connection between Deep Learning and Stochastic Optimal Control"}],"uid":"27707","created_gmt":"2024-07-28 01:32:38","changed_gmt":"2024-07-28 01:33:09","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-07-29T15:00:00-04:00","event_time_end":"2024-07-29T17:00:00-04:00","event_time_end_last":"2024-07-29T17:00:00-04:00","gmt_time_start":"2024-07-29 19:00:00","gmt_time_end":"2024-07-29 21:00:00","gmt_time_end_last":"2024-07-29 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda C0915 Atlantic, ","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}