RIT on ML for Rare Events Archives for Academic Year 2021


Organizational meeting

When: Fri, September 10, 2021 - 2:00pm
Where: MATH1310
Speaker: Maria Cameron (UMCP) - https://www.math.umd.edu/~mariakc/
Abstract: 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.


Diffusion maps applied to molecular dynamics

When: Fri, September 24, 2021 - 2:00pm
Where: MTH1310
Speaker: Luke Evans (UMCP) - https://www.math.umd.edu/~evansal/
Abstract: https://www.math.umd.edu/~mariakc/rit.html

Quantifying rare events with the aid of neural networks

When: Fri, October 8, 2021 - 2:00pm
Where: Kirwan Hall 1310
Speaker: Margot Yuan (UMCP) -


Analysis of activation functions for neural networks

When: Fri, October 15, 2021 - 2:00pm
Where: Kirwan Hall 1310
Speaker: Manyuan Tao (UMCP) -


Self-Assembly of Hydrocarbons

When: Fri, October 22, 2021 - 2:00pm
Where: MATH1310
Speaker: Christopher Moakler (UMCP) -