AI4S Seminar

AI4S Seminar June 2026
Speaker: Qibin Zhao (Riken AIP)
Title: Structured representation learning: tensor network principles toward scalable and reliable AI
Abstract: Tensor Networks (TNs) are factorizations of high dimensional tensors into networks of many low-dimensional tensors, which have been studied in quantum physics, high-performance computing, and applied mathematics. TNs have been increasingly investigated and applied to machine learning and signal processing, due to its significant advances in handling large-scale and high-dimensional problems. This talk aims to present some recent progress of TNs technology developed for machine learning from perspectives of basic principle and algorithms, especially focusing on the efficiency, robustness and scalability issues in deep learning models.