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主题报告:Graph neural networks for trajectory prediction

图神经网络在轨迹预测中的应用



作者:Stoyan Mishev浏览:时间:2022-10-07

主题报告:Graph neural networks for trajectory prediction

图神经网络在轨迹预测中的应用

报告题目:图神经网络在轨迹预测中的应用

报告人:Stoyan Mishev

报告时间:20221011日(星期二)下午15:50-16:20

报告形式:腾讯会议

会议ID620-690-576

主办单位:电气工程学院

报告人简介:

 

Stoyan MishevStoyan Mishev defended his PhD in the field of theoretical physics in the Joint Institute for Nuclear Research, Dubna, Russia. His main interests are in the field of mathematical physics and especially in solving the many-body problem in quantum mechanics through exactly solvable analytical models as well as numerical approaches. He works in the field of machine learning, deep learning, and the imposition of symmetrically justified transformations in neural networks (NNs), as well as the modeling of quantum mechanical systems with NNs. He is a founder and chief of the Institute for Advanced Physical Studies in Bulgaria. He works as an Assistant Professor in the department of Informatics in New Bulgarian University, Sofia.

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