科学研究
学术报告
当前位置: 77779193永利官网 > 科学研究 > 学术报告 > 正文

The Evolution of Tensor Network Decompositions

发布时间:2023-03-30 作者:77779193永利官网 浏览次数:
Speaker: 赵熙乐 DateTime: 2023年4月7日(星期五),14:30--15:30
Brief Introduction to Speaker:

研究方向/researchdirection:高维图像处理的数学建模与高效计算

Place: 腾讯会议(848332581)
Abstract:Recently, tensor network decompositions are emerging for capturing the intrinsic structures of multi-dimensional data, especially for high-order data. The topology design of tensor network decompositions is the key problem in the development of tensor network decompositions. In this talk, I will first review the recent progress of tensor network decompositions. Then, I will discuss how to design fast algorithms for tensor network decompositions from a unified framework. Finally, we will also discuss the limitation and future possibilities of tensor network decompositions.