单位: 北京雁栖湖应用数学研究院 , IMJ-PRG
办公室: A6-103
邮箱: Serguei.Barannikov@bimsa.cn
研究方向: 机器学习，拓扑学，数学物理
个人简介
Prof. Serguei Barannikov earned his Ph.D. from UC Berkeley and has made contributions to algebraic topology, algebraic geometry, mathematical physics, and machine learning. His work, prior to his Ph.D., introduced canonical forms of filtered complexes, now known as persistence barcodes, which have become fundamental in topological data analysis. More recently, he has applied topological methods to machine learning, particularly in the study of large language models, with results published in leading ML conferences such as NeurIPS, ICML, and ICLR, effectively bridging pure mathematics and advanced AI research.
更新时间: 2025-01-02 16:06:56