{"676861":{"#nid":"676861","#data":{"type":"event","title":"ML@GT Seminar Series | Controllable generative models for natural language and related phenomena  ","body":[{"value":"\u003Cp\u003EFeaturing Karik Goyal, Georgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EI will talk about the challenges and potential solutions for endowing probabilistic generative models with controllability. First, I will talk about language modeling and estimating conditional distributions under control attributes. Specifically, I will describe how despite the difficulty of working with these conditional distributions, we use them to uncover statistical properties related to search and sampling in language models. Next, I will talk about our work on custom controllable and interpretable generative models for modeling early modern (1600s) printed text to discover new historical knowledge around censorship and intellectual networks in this period.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E Kartik Goyal is an assistant professor in the School of Interactive Computing at Georgia Tech. His research interests are in natural language processing and machine learning problems that involve developing probabilistic models of latent structure in naturally occurring data with capabilities of interpretability and control. His recent work has focused on developing machine\u0026nbsp;learning techniques for various problems in\u0026nbsp;cultural analytics and digital humanities. Prior to Georgia Tech, he was a research assistant professor at Toyota Technological Institute at Chicago. He received\u0026nbsp;his PhD from Language Technologies Institute at Carnegie Mellon\u0026nbsp;University.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMachine Learning Center Seminar Series is held bi-weekly on Wednesdays at 12pm.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Featuring Karik Goyal, Georgia Institute of Technology "}],"uid":"36518","created_gmt":"2024-09-17 14:34:44","changed_gmt":"2024-09-17 15:02:16","author":"shatcher8","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-09-25T12:00:00-04:00","event_time_end":"2024-09-25T13:00:00-04:00","event_time_end_last":"2024-09-25T13:00:00-04:00","gmt_time_start":"2024-09-25 16:00:00","gmt_time_end":"2024-09-25 17:00:00","gmt_time_end_last":"2024-09-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"CODA 9th Floor Atrium","extras":["free_food"],"hg_media":{"674990":{"id":"674990","type":"image","title":"2024.0925 ML Seminar Announcement-Kartik Goyal.jpg","body":null,"created":"1726584221","gmt_created":"2024-09-17 14:43:41","changed":"1726584221","gmt_changed":"2024-09-17 14:43:41","alt":"ML@GT Seminar Series presents Kartik Goyal on 9\/25\/24","file":{"fid":"258568","name":"2024.0925 ML Seminar Announcement-Kartik Goyal.jpg","image_path":"\/sites\/default\/files\/2024\/09\/17\/2024.0925%20ML%20Seminar%20Announcement-Kartik%20Goyal.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/09\/17\/2024.0925%20ML%20Seminar%20Announcement-Kartik%20Goyal.jpg","mime":"image\/jpeg","size":161548,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/09\/17\/2024.0925%20ML%20Seminar%20Announcement-Kartik%20Goyal.jpg?itok=dw77uHts"}}},"media_ids":["674990"],"related_links":[{"url":"https:\/\/ml.gatech.edu\/","title":""}],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"173555","name":"Center for Machine Learning"},{"id":"9167","name":"machine learning"},{"id":"193556","name":"large language models"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EShelli Hatcher, Program and Operations Manager\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}