RIT on ML for Rare Events Archives for Fall 2022 to Spring 2023

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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.

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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

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Quantifying rare events with the aid of neural networks

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

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Analysis of activation functions for neural networks

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

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Self-Assembly of Hydrocarbons

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

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An introduction to density functional theory and quantum many-body problem

When: Fri, November 19, 2021 - 2:00pm
Where: MATH 1310
Speaker: Ryan Synk (UMCP, CS) - https://ryansynk.github.io

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SpectralNet

When: Fri, December 3, 2021 - 2:00pm
Where: MATH 1310
Speaker: Shashank Sule (UMCP) - https://www-math.umd.edu/people/all-directory/item/1564-ssule25.html

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Organizational meeting

When: Fri, February 4, 2022 - 12:00pm
Where: MATH1310
Speaker: Maria Cameron (UMCP) - http://www.math.umd.edu/~mariakc/
Abstract: We will discuss the agenda for Spring 2022

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Modeling the fracture of hydrogels

When: Fri, February 11, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Manyuan Tao (AMSC) -

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Solving the committor equation using tensor trains

When: Fri, February 25, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Margot Yuan (UMD) -

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Computing committors with Mahalanobis diffusion maps

When: Fri, March 4, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Luke Evans () -

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Alpha Zero

When: Fri, March 18, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Max Springer () -

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Deep learning for solving backward stochastic differential equations

When: Fri, April 1, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Zhirui Li () -

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Simulation for rare events in quantum error detection

When: Fri, April 8, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Raley Roberts () -

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A New Constructive Heuristic Driven by Machine Learning for the Traveling Salesman Problem (Kou), Error analysis for target measure diffusion maps (Sule)

When: Fri, April 22, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Shuhan Kou and Shashank Sule (UMCP) -

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Physics-Informed Neural Networks/The Deep Ritz Method

When: Fri, April 29, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Lang Song/Jiaxing Liang (UMCP) -

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Wasserstein gradient flows

When: Fri, May 6, 2022 - 12:00pm
Where: Kirwan Hall 1313
Speaker: Jiaqi Wang () -

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