Poster Session
Sunitha Basodi (sbasodi1@gsu.edu), Decentralized Neural Networks using gradient averaging
Minshuo Chen (mchen393@gatech.edu), Function Approximation and Nonparametric Regression/Classification on Low Dimensional Manifolds using Deep Neural Networks
Jianbo Cui (jcui82@gatech.edu), Time discretizations of Wasserstein-Hamiltonian flows
Ru Huang (ru.huang@emory.edu), Learning optimal multigrid smoothers via neural networks
Yuliang Ji (yuliang.ji@emory.edu), Generating a Doppelganger Graph: Resembling but Distinct
Scott Kersey (skersey@georgiasouthern.edu), Approximation of Multivariate Functions on Sparse Grids
Jinsil Lee (jl74942@uga.edu), Spline based collocation method for numerical solutions for different kinds of PDEs
Hao Liu (hao.liu@math.gatech.edu), Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks
Shu Liu (sliu459@gatech.edu), Computing high dimensional Wasserstein geodesics
Shaojun Ma (shaojunma@gatech.edu), Learning Stochastic Behaviour from Aggregate Data
Anthony Morciglio (amorciglio1@student.gsu.edu), Educate to Vaccinate: Modeling Co-evolution of Infodemic and Pandemic
Derek Onken (donken@emory.edu), OT-Flow: Fast and Accurate Normalizing Flows via Optimal Transport
Bas Peters (bas.peters@emory.edu), Point-to-set distance functions for weakly supervised segmentation
Brian Pidgeon (bpidgeon1@gsu.edu), On Stable Parameter Estimation and Short-term Forecasting with Quantified Uncertainty for COVID-19 Transmission
Zhaiming Shen (zs98306@uga.edu), An Effective Approach to Semi-supervised Cluster Extraction
Bin Xie (bin.xie@uga.edu), Deep Filtering in Nonlinear, Switching and 2D Cases
Sofya Zaytseva (szaytseva@uga.edu), Investigation of Pattern Formation in Intertidal Oyster Reefs
Shifan Zhao (szhao89@emory.edu), Acceleration Methods for Saddle Point Optimization