RIT on ML for Rare Events

RIT on ML for Rare Eventshttp://www-math.umd.edu/research/seminars.html Organizational meeting http://www-math.umd.edu/research/seminars.html Fri, 10 Sep 2021 14:00:00 EDT 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 http://www-math.umd.edu/research/seminars.html Fri, 24 Sep 2021 14:00:00 EDT 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 http://www-math.umd.edu/research/seminars.html Fri, 08 Oct 2021 14:00:00 EDT Where: Kirwan Hall 1310
Speaker: Margot Yuan (UMCP) -

]]> Analysis of activation functions for neural networks http://www-math.umd.edu/research/seminars.html Fri, 15 Oct 2021 14:00:00 EDT Where: Kirwan Hall 1310
Speaker: Manyuan Tao (UMCP) -

]]> Self-Assembly of Hydrocarbons http://www-math.umd.edu/research/seminars.html Fri, 22 Oct 2021 14:00:00 EDT Where: MATH1310
Speaker: Christopher Moakler (UMCP) -

]]> An introduction to density functional theory and quantum many-body problem http://www-math.umd.edu/research/seminars.html Fri, 19 Nov 2021 14:00:00 EST Where: MATH 1310
Speaker: Ryan Synk (UMCP, CS) - https://ryansynk.github.io

]]> SpectralNet http://www-math.umd.edu/research/seminars.html Fri, 03 Dec 2021 14:00:00 EST Where: MATH 1310
Speaker: Shashank Sule (UMCP) - https://www-math.umd.edu/people/all-directory/item/1564-ssule25.html

]]> Organizational meeting http://www-math.umd.edu/research/seminars.html Fri, 04 Feb 2022 12:00:00 EST Where: MATH1310
Speaker: Maria Cameron (UMCP) - http://www.math.umd.edu/~mariakc/
Abstract: We will discuss the agenda for Spring 2022
]]> Modeling the fracture of hydrogels http://www-math.umd.edu/research/seminars.html Fri, 11 Feb 2022 12:00:00 EST Where: Kirwan Hall 1313
Speaker: Manyuan Tao (AMSC) -

]]> Solving the committor equation using tensor trains http://www-math.umd.edu/research/seminars.html Fri, 25 Feb 2022 12:00:00 EST Where: Kirwan Hall 1313
Speaker: Margot Yuan (UMD) -

]]> Computing committors with Mahalanobis diffusion maps http://www-math.umd.edu/research/seminars.html Fri, 04 Mar 2022 12:00:00 EST Where: Kirwan Hall 1313
Speaker: Luke Evans () -

]]> Alpha Zero http://www-math.umd.edu/research/seminars.html Fri, 18 Mar 2022 12:00:00 EDT Where: Kirwan Hall 1313
Speaker: Max Springer () -

]]> Deep learning for solving backward stochastic differential equations http://www-math.umd.edu/research/seminars.html Fri, 01 Apr 2022 12:00:00 EDT Where: Kirwan Hall 1313
Speaker: Zhirui Li () -

]]> Simulation for rare events in quantum error detection http://www-math.umd.edu/research/seminars.html Fri, 08 Apr 2022 12:00:00 EDT Where: Kirwan Hall 1313
Speaker: Raley Roberts () -

]]> A New Constructive Heuristic Driven by Machine Learning for the Traveling Salesman Problem (Kou), Error analysis for target measure diffusion maps (Sule) http://www-math.umd.edu/research/seminars.html Fri, 22 Apr 2022 12:00:00 EDT Where: Kirwan Hall 1313
Speaker: Shuhan Kou and Shashank Sule (UMCP) -

]]> Physics-Informed Neural Networks/The Deep Ritz Method http://www-math.umd.edu/research/seminars.html Fri, 29 Apr 2022 12:00:00 EDT Where: Kirwan Hall 1313
Speaker: Lang Song/Jiaxing Liang (UMCP) -

]]> Wasserstein gradient flows http://www-math.umd.edu/research/seminars.html Fri, 06 May 2022 12:00:00 EDT Where: Kirwan Hall 1313
Speaker: Jiaqi Wang () -

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