Searching for simpler models

NOV 15, 2019 | 9:30 AM TO 6:00 PM

Details

WHERE:

The Graduate Center
365 Fifth Avenue

ROOM:

9100: Skylight Room

WHEN:

November 15, 2019: 9:30 AM-6:00 PM

ADMISSION:

Free

SPONSOR:

NSF Center for the Physics of Biological Function

Description

There has been remarkable progress in turning our qualitative preference for simple models of the natural world into quantitative, mathematical principles. We explore these developments, both as general principles and in examples from biological systems and deep neural networks.
 

Jonathan Frankle, MIT Neural network pruning and the lottery ticket hypothesis
Yannis Kevrekidis, Johns Hopkins University No equations, no variables, no parameters
Katherine Quinn, The CUNY Graduate Center Sloppy models and approximation theory
Mark Transtrum, Brigham Young University Using simple models to understand complex processes

To register and view a detailed program, please visit http://www.itsatcuny.org