Beijing Institute of Mathematical Sciences and Applications Beijing Institute of Mathematical Sciences and Applications

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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Administration
Academic Support
Research
Research Groups
Courses
Seminars
Journals
Join Us
Faculty
Postdocs
Students
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)
Hetao Institute of Mathematics and Interdisciplinary Sciences
BIMSA > BIMSA Computational Math Seminar BIMSA Computational Math Seminar A Unified Neural Flow Framework for Neural Networks and Operators
A Unified Neural Flow Framework for Neural Networks and Operators
Organizers
Tahereh Eftekhari , Pipi Hu , Xin Liang , Zhiting Ma , Hamid Mofidi , Chunmei Su , Axel G.R. Turnquist , Li Wang , Fansheng Xiong , Shuo Yang , Wuyue Yang
Speaker
Juncai He
Time
Wednesday, May 13, 2026 2:00 PM - 3:00 PM
Venue
A3-4-312
Online
Zoom 518 868 7656 (BIMSA)
Abstract
In this talk, we introduce a unified neural flow framework that provides an infinite-depth formulation for deep neural networks and operators. Two representative dynamical systems recover plain and ResNet-type architectures through time discretization. We establish well-posedness and develop approximation theory for both networks and operators. The framework also incorporates various spatial discretizations for inter-neuron linear operators, enabling coverage of existing neural operator architectures and yielding approximation results for finite-depth DNNs, CNNs, and neural operators within a single continuous perspective.
Beijing Institute of Mathematical Sciences and Applications
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