Workshop on Machine Learning and Mathematical Conjecture
SEMINARS, CMSA EVENTS
On April 15, 2022, the CMSA will hold a one-day workshop, Machine Learning and Mathematical Conjecture, related to the New Technologies in Mathematics Seminar Series. Organizers: Michael R. Douglas (CMSA/Stony Brook/IAIFI) and Peter Chin (CMSA/BU).
Machine learning has driven many exciting recent scientific advances. It has enabled progress on long-standing challenges such as protein folding, and it has helped mathematicians and mathematical physicists create new conjectures and theorems in knot theory, algebraic geometry, and representation theory.
At this workshop, we will bring together mathematicians, theoretical physicists and machine learning researchers to review the state of the art in machine learning, discuss how ML results can be used to inspire, test and refine precise conjectures, and identify mathematical questions which may be suitable for this approach.
James Halverson, Northeastern University Dept. of Physics and IAIFI
Fabian Ruehle, Northeastern University Dept. of Physics and Mathematics and IAIFI
Andrew Sutherland, MIT Department of Mathematics
|9:30 am – 10:20 am||James Halverson: Machine Learning for Mathematicians|
|10:30 am – 11:20 am||Andrew Sutherland: Number Theory|
|11:30 am – 12:20 pm||Fabian Ruehle: Knot Theory|
|2:00 pm –3:30 pm||Computer demonstrations|
|3:45 pm – 4:45 pm||Discussion|
The workshop will be held in room G10 of the CMSA, located at 20 Garden Street, Cambridge, MA.
For a list of lodging options convenient to the Center, please visit our recommended lodgings page.All non-Harvard affiliated visitors to the CMSA building will need to complete this covid form prior to arrival: https://forms.gle/xKykcNcXq7ciZuvJ8To attend, please REGISTER ONLINE.