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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
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Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
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Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Seminar on Control Theory and Nonlinear Filtering Recent Developments in Deep Learning Filtering Algorithms
Recent Developments in Deep Learning Filtering Algorithms
Organizer
Shing Toung Yau
Speaker
Zeju Sun
Time
Friday, November 10, 2023 9:00 PM - 9:30 PM
Venue
Online
Abstract
In this talk, we will review two kinds of deep learning filtering algorithms proposed recently: the deep Kalman filer and deep learning based optimal transportation filter. For the deep Kalman filter, the authors address the issue in the deep learning mathematical foundation and give a convergence analysis for Gaussian signal processes. For the optimal transportation filter, the authors discuss its property in high-dimensional setting and show that the optimal transportation filter can be conducted by a neural network.
Beijing Institute of Mathematical Sciences and Applications
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