To facilitate the scheduling process, we made a temporary page: https://ins.sjtu.edu.cn/admin/articles/147. If you want to schedule a talk, please send Liang Hong the information and June will update the page.

Mean Field Limits of Weakly Interacting Diffusions and Applications
Grigorios Pavliotis, Imperial College London, UK
2020.04.24, 16:00-17:00

Quantum Linear Algebra
Lin Lin, University of California, Berkeley, USA
2020.04.21, 10:30-11:30

Solving Inverse Problems with Deep Learning
Lexing Ying, Stanford University, USA
2020.04.10, 11:00-12:00

Underdamped Langevin Dynamics: Convergence to Equilibrium and Algorithmic Complexity
Jianfeng Lu, Duke University, USA
2020.04.07, 09:30-10:30

Time-Delay Dynamic Model and Data Analysis of Coronavirus Transmission 新冠病毒传播的时滞动力学模型与数据分析
Jin Cheng, Fudan University & Shanghai Key Laboratory for Contemporary Applied Mathematics, China
2020.03.31, 14:00-15:00

Random Batch Methods for Classical and Quantum N-Body Problems
Shi Jin, Shanghai Jiao Tong University, China
2020.03.17, 14:00-15:00

Drinking and Diving
Sunghwan (Sunny) Jung,Cornell University
2020.01.15, 09:00-09:00

Kinetic Theory of Polyatomic Gases: Model Boltzmann Equations and their Application
Kazuo Aoki, Kyoto University
2020.01.07, 14:00-15:00

Exploring Redundancy in Deep Neural Networks
Chenglong Bao,Tsinghua University
2019.12.30, 14:00-15:00

Computing Committor Functions for The Study of Rare Events Using Deep Learning
Weiqing Ren,National University of Singapore
2019.12.24, 14:00-15:00

Exploring Redundancy in Deep Neural NetworksRegression of functions on low-dimensional manifolds by deep ReLU networks
Wenjing Liao ,Georgia Institute of Technology
2019.12.17, 14:00-15:00

Regularized 13 Moment Equations for Inverse Power Law Models
Zhenning Cai,National University of Singapore
2019.12.10, 15:00-16:00