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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.

The Power Spectrum of Passive Scalar Turbulence in the Batchelor Regime
Jacob Bedrossian, University of Maryland, College Park
2020.04.28, 09:00-10:00

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

Solving Inverse Problems with Deep Learning
Lexing Ying, Stanford University
2020.04.10, 13:00-14:00

Underdamped Langevin Dynamics: Convergence to Equilibrium and Algorithmic Complexity
Jianfeng Lu, Duke University
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
2020.03.31, 14:00-15:00

Random Batch Methods for Classical and Quantum N-Body Problems
Shi Jin, Shanghai Jiao Tong University
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