Dancing with Myself: Interdisciplinary ML Methods for Choreography

Speaker: 
Mariel Pettee
Institution: 
LBNL
Date: 
Tuesday, July 19, 2022
Time: 
11:00 am
Location: 
Virtual Seminar
Abstract:
While completing my physics PhD, I pursued independent research in developing custom ML tools to analyze my own dance movements and generate new movements that felt authentically mine. What started as a curiosity-driven side project grew into leading several teams of researchers across academia, industry, and the arts building the state-of-the-art in ML-generated choreography using techniques including Variational Autoencoders (VAEs) and Graph Neural Networks (GNNs). In this talk, I'll discuss not only these models and how I've employed them in my artistic practice, but also how this work could extend to other domains interested in dynamic many-body systems such as particle physics and astrophysics.    

 
 
 
Host: 
Daniel Whiteson