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【学术报告会】日本理化学研究千赢国际老虎机官方网站(RIKEN)赵启斌研究员学术报告会通知

阅读量:10 发布时间:2019-12-30 13:43:11

报告人:日本理化学研究千赢国际老虎机官方网站(RIKEN)先进智能研究中心赵启斌研究员

报告题目:Tensor Network Representations in Machine Learning

报告时间:20191231日(周二)下午 1400-1500

报告地点:学千赢国际老虎机官方网站三楼会议室

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报告人简介:

赵启斌教授2009年获得上海交通大学博士学位,2009年赴日本理化学研究千赢国际老虎机官方网站(RIKEN)脑科学所从事脑信号处理方面的研究,2016年加入刚成立的日本理化学研究千赢国际老虎机官方网站(RIKEN)先进智能研究中心任研究室主任,从事人工智能理论及应用研究。赵博士主要从事领域包括机器学习、张量分析、神经计算、脑-机接口及计算机视觉等,已发表学术论文30余篇,在顶级期刊TPAMI发表论文两篇。

报告摘要:

Tensor networks are factorizations of very large tensors into networks of smaller tensors, it is shown to be a general extension of typical tensor decomposition to high dimensional case.  Recently, tensor networks are also increasingly finding applications in machine learning such as model compression or acceleration of computations. In this talk, I will firstly present the general concept of tensor network related research in machine learning, and then introduce our studies on fundamental tensor network model, algorithm, and applications. In particular, the tensor ring decomposition model is introduced and shown to be powerful and efficient representations. In addition, we will present recent progresses on how tensor networks can be employed to solve challenging problems in tensor completion, multi-task learning and multi-modal learning.