The Evolution of Tensor Network Decompositions

发布时间：2023-03-30 作者：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.

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