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The AIMS Conference Series
Special Session 107: Recent Advances in Data Assimilation with Machine Learning
Organizer(s): Nan Chen , Jinlong Wu , Yeyu Zhang
Parallel Session 17 :: Friday, 12/20, 8:00-9:30
Conference Hall B (B)
8:00-8:30
Jinchao Feng
(Great Bay University, Peoples Rep of China)
Data-driven model selections of interacting particle dynamics via Gaussian processes with uncertainty quantification
8:30-9:00
Yu Chen
(Shanghai University of Finance and Economics, Peoples Rep of China)
A mechanism learning based method for data filling of physical fields
9:00-9:30
Yiwen Lin
(Shanghai Jiao Tong University, Peoples Rep of China)
A random reconstruction method in optical tomography
Parallel Session 18 :: Friday, 12/20, 14:00-16:00
Conference Hall B (B)
14:00-14:30
Di Qi
(Purdue University, USA)
Reduced-Order Models for Data Assimilation of Multiscale Turbulent Systems
14:30-15:00
Daniel Zhengyu Huang
(Peking University, Peoples Rep of China)
Efficient Derivative-Free Bayesian Inference for Large-Scale Inverse Problems
15:00-15:30
Yeyu Zhang
(Shanghai University of Finance and Economics, Peoples Rep of China)
An Efficient Multiscale Stochastic Reduced-Order Model and Nonlinear Filtering Scheme for Two-Dimensional Stratified Turbulence
15:30-16:00
Marios Andreou
(University of Wisconsin-Madison, USA)
An Efficient Online Smoother and Sampling Algorithm for Partially Observed Nonlinear Dynamical Systems
Parallel Session 19 :: Friday, 12/20, 16:15-18:45
Conference Hall B (B)
16:15-16:45
Liu Liu
(Chinese University of Hong Kong, Peoples Rep of China)
An Asymptotic-Preserving Neural Network approach for the Boltzmann equation with uncertainties
16:45-17:15
Yu Feng
(Great Bay University, Peoples Rep of China)
A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws
17:15-17:45
Yingshuo Peng
(Shanghai University of Finance and Economics, Peoples Rep of China)
Inverse Transfer and Coherence in Rotating Stratified Turbulence with Clouds and Phase Transitions