Organizer: Dilip Madan
When: Mondays @ 5pm
Where: VMH 3332
Organizer: Kasso Okoudjou, Maria Cameron
When: Fridays @ 2:00-3:00pm
Where: Math 1311
Web site for more information: www.math.umd.edu/~mariakc/rit-analysis-of-complex.html
Organizer: Kyle Kawagoe, Ariel Rosenfield, Daniel Serrano and Konstantina Trivisa
When: Mondays @ 11AM - 11:50AM
Where: Kirwan Hall MTH 3206
Organizer: Phil Wertheimer
When: Mondays @ 12pm
Where: Kirwan Hall (MTH) B0431
Organizer: Maria Cameron
When: Friday, 12PM
Where: Kirwan Hall MTH 1313
Web Page: https://www.math.umd.edu/~mariakc/rit.html
Description: In recent years, machine learning techniques penetrated a tremendous variety of scientific fields. In particular, they gave rise to data-driven methods for the study of rare event in complex physical systems such as conformational changes in biomolecules, rearrangements of clusters of interacting particles, etc. These methods truly opened new horizons by enabling us to address problems that used to be intractable due to the curse of dimensionality. They are divided into two families: diffusion map-based and neural network-based. In this RIT we will explore methods for the study of rare events based on machine learning.