SEMINARS
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Nearly Assumption Free Inference for Causal Inference with Machine Learning
- Lin Liu, Harvard University
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2019.12.26, 11:00-12:00
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Regularity of The Surface Tension for The Stochastic Interface Models
- Wei Wu, University of Warwick
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2019.12.26, 10:00-11:00
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Theory and Application of Deep Neural Networks
- Yaoyu Zhang, Institute for Advanced Study at Princeton
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2019.12.25, 10:00-11:00
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Dissipation Enhancement by Mixing and Suppression of Phase Separation
- Yuanyuan Feng, Penn State University
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2019.12.24, 16:00-17:00
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INS Colloquia
Computing Committor Functions for The Study of Rare Events Using Deep Learning
- Weiqing Ren，National University of Singapore
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2019.12.24, 14:00-15:00
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Dynamics of Phytoplankton and Related Topics
- Yuan Lou, Ohio State University
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2019.12.23, 10:00-11:00
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Data Science Seminar
Structure Exploration for 3D Reconstruction
- Shenghua Gao, ShanghaiTech University
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2019.12.18, 12:20-13:50
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INS Colloquia
Exploring Redundancy in Deep Neural NetworksRegression of functions on low-dimensional manifolds by deep ReLU networks
- Wenjing Liao ,Georgia Institute of Technology
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2019.12.17, 14:00-15:00
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An Inexact Proximal Augmented Lagrangian Framework with Arbitrary Linearly Convergent Inner Solver for Composite Convex Optimization
- Zheng Qu, University of Hong Kong
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2019.12.16, 15:00-16:00
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A Theory for Circularly Polarized Collective Motion of Micro Swimmers
- Lei-Han Tang,Beijing Computational Science Research Center / Hong Kong Baptist University
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2019.12.16, 10:30-11:30
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Decoupled Algorithms for the Non-Steady Dual-Porosity-Stokes
- Wenjing Yan, Xi'an Jiaotong University
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2019.12.16, 10:00-11:00
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Solving Inverse Problems with Learnable Inversion for Medical Image Reconstruction
- Jiulong Liu,National University of Singapore
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2019.12.12, 14:00-15:00
