{"id":50794,"date":"2024-12-19T12:18:00","date_gmt":"2024-12-19T17:18:00","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ams\/?post_type=news&p=50794"},"modified":"2025-02-03T15:23:22","modified_gmt":"2025-02-03T20:23:22","slug":"department-receives-2024-neurips-best-paper-award","status":"publish","type":"news","link":"https:\/\/engineering.jhu.edu\/ams\/news\/department-receives-2024-neurips-best-paper-award\/","title":{"rendered":"Johns Hopkins PhD candidate wins best paper award at NeurIPS machine learning workshop"},"content":{"rendered":"

A paper co-authored by Wilson Gregory, a PhD candidate in the Whiting School of Engineering\u2019s Department of Applied Mathematics and Statistics, received the 2024 Best Paper Award at the Machine Learning for the Physical Science<\/a> workshop during the 38th<\/sup> Conference on Neural Information Processing Systems (NeurIPS), held December 10 through 15 in Vancouver.<\/p>\n

“<\/em>Robust Emulator for Compressible Navier-Stokes using Equivariant Geometric Convolutions“<\/em> was written by Gregory with Soledad Villar<\/a>, assistant professor, and Kaze Wong<\/a>, assistant research professor\u2014both from the Department of Applied Mathematics and Statistics\u2014and David Hogg, a professor of physics and data science at New York University.<\/p>\n

The workshop highlights the distinctive features of the physical sciences, emphasizing current challenges and the bidirectional opportunities between machine learning and the physical sciences.<\/p>\n","protected":false},"template":"","class_list":["post-50794","news","type-news","status-publish","hentry","news_categories-awards-and-honors"],"acf":[],"yoast_head":"\nJohns Hopkins PhD candidate wins best paper award at NeurIPS machine learning workshop | Department of Applied Mathematics and Statistics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/ams\/news\/department-receives-2024-neurips-best-paper-award\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Johns Hopkins PhD candidate wins best paper award at NeurIPS machine learning workshop | 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