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Established in 2020, POSTECH Mathematical Institute for Data Science (MINDS) is the community of researchers in the areas of fundamental data science, machine learning, artificial intelligence, scientific computing, and humanitarian data science. MINDS mission is to provide a platform for collaboration among researchers and to provide various opportunities for students in data science. MINDS also aims to use our data science research to serve our local and global communities pursuing humanitarian data science.

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MINDS SEMINAR

MINDS Seminar Series | Dongbin Xiu (Ohio state university) - Data Driven Modeling of Unknown Systems with Deep Neural Networks

MINDS SEMINAR
period : 2023-05-10 ~ 2023-05-10
time : 16:00:00 ~ 17:00:00
개최 장소 : Math Bldg 404 & Online streaming (Zoom)
Topic : Data Driven Modeling of Unknown Systems with Deep Neural Networks
개요
Date 2023-05-10 ~ 2023-05-10 Time 16:00:00 ~ 17:00:00
Speaker Dongbin Xiu Affiliation Ohio state university
Place Math Bldg 404 & Online streaming (Zoom) Streaming link ID : 688 896 1076 / PW : 54321
Topic Data Driven Modeling of Unknown Systems with Deep Neural Networks
Contents We present a framework of predictive modeling of unknown system from measurement data. The method is designed to discover/approximate the unknown evolution operator, i.e., flow map, behind the data. Deep neural network (DNN) is employed to construct such an approximation. Once an accurate DNN model for the evolution operator is constructed, it serves as a predictive model for the unknown system and enables us to conduct system analysis. We demonstrate that flow map learning (FML) approach is applicable for modeling a wide class of problems, including dynamical systems, systems with missing variables and hidden parameters, as well as partial differential equations (PDEs).
MinDS MinDS · 2023-04-27 09:11 · Views 467

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