Nearly Assumption Free Inference for Causal Inference with Machine Learning
Lin Liu, Harvard University
2019.12.26, 11:00-12:00

Regularity of The Surface Tension for The Stochastic Interface Models
Wei Wu, University of Warwick
2019.12.26, 10:00-11:00

Theory and Application of Deep Neural Networks
Yaoyu Zhang, Institute for Advanced Study at Princeton
2019.12.25, 10:00-11:00

Dissipation Enhancement by Mixing and Suppression of Phase Separation
Yuanyuan Feng, Penn State University
2019.12.24, 16:00-17:00

INS Colloquia 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

Dynamics of Phytoplankton and Related Topics
Yuan Lou, Ohio State University
2019.12.23, 10:00-11:00

Data Science Seminar Structure Exploration for 3D Reconstruction
Shenghua Gao, ShanghaiTech University
2019.12.18, 12:20-13:50

INS Colloquia 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

An Inexact Proximal Augmented Lagrangian Framework with Arbitrary Linearly Convergent Inner Solver for Composite Convex Optimization
Zheng Qu, University of Hong Kong
2019.12.16, 15:00-16:00

A Theory for Circularly Polarized Collective Motion of Micro Swimmers
Lei-Han Tang,Beijing Computational Science Research Center / Hong Kong Baptist University
2019.12.16, 10:30-11:30

Decoupled Algorithms for the Non-Steady Dual-Porosity-Stokes
Wenjing Yan, Xi'an Jiaotong University
2019.12.16, 10:00-11:00

Solving Inverse Problems with Learnable Inversion for Medical Image Reconstruction
Jiulong Liu,National University of Singapore
2019.12.12, 14:00-15:00