| Machine Learning Chalk Talk |
| David Hogg et. al |
| Event Type: Special Seminar |
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| Time: 11:00 AM - 12:15 PM |
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| Location: 726 Broadway, 940, CCPP Seminar |
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| Abstract: MLCT is a weekly seminar hosted by the Physics department where anyone—students, postdocs, faculty—can present a 45-minute-ish lecture or discussion on machine learning or statistical inference. The setting is informal, chalkboard-focused (with optional slides), and interruptions encouraged. Topics can range from rough ideas to finished research, with the assumption that the audience has at least some working knowledge of ML.
This week David Hogg will be presenting "Exploiting invariant forms to implement equivariances in (almost) any machine learning method."
To see a weekly schedule of seminars, see https://dwh.gg/MLCT |