Date
  • Sep 27, 2023, 4:30 pm5:30 pm
  • Oct 4, 2023, 4:30 pm5:30 pm
  • Nov 1, 2023, 4:30 pm5:30 pm
  • Nov 15, 2023, 4:30 pm5:30 pm
  • Nov 29, 2023, 4:30 pm5:30 pm
Location
Audience
Princeton students, graduate students, researchers, faculty, and staff

Details

Event Description

Machine Learning in Physics, focused on interdisciplinary work at the intersection of physics and ML. Here are the details:

A seminar series highlighting research on both physics-inspired approaches to understanding ML and the use of ML for physics applications

Wednesdays 4:30 - 5:30pm in Jadwin Hall, Room A10 with light refreshments after the presentation. 

Who? The speakers for Fall 2023 are as follows:

  • Sept. 27: Shirley Ho (Flatiron)
  • Oct. 4: Juan Felipe Carrasquilla Alvarez (Vector)
  • Nov. 1: Javier Duarte (UCSD)
  • Nov. 15: Phiala Shananan (MIT)
  • Nov 29: Andy Leifer (Princeton)