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Presentation list

Fall 2020

• Imputation Method for Single Cell (by Jee) slide

• ZIDGM regression for microbiome data analysis (by Suk) slide

• Clustering Time Series (by Hong) slide

• Explainalbe AI (by Jee) slide

• Neural Topic Modeling with Continual Lifelong Learning (by Suk) slide

• Neural Process (by Hong) slide

• Topology of Deep Neural Network (by Jee) slide

• Federated Learning : introduction (by Suk) slide

• Units in Deep Network (by Hong) slide

• LDA and Wasserstein LDA (by Lee and Bae) slide

• AAE and AVAE (by Jee) slide

Fall 2021

• UMAP (by G. Kim) slide

• Neural Ordinary Differential Equation with Gaussian Process (by J. Hong) slide

• Correlation Tensor Decomposition and Its Application in Spatial Imaging Data (by G. Kim) slide

• On statistical learning of simplices unimixing problem revisited (by G. Kim) slide

• Simultaneous dimension reduction and clustering via the NMF-EM algorithm (by G. Kim) slide

• Understanding How Dimension Reduction Tools Work An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization (by G. Kim) slide

• Bidirectional Encoder Representations from Transformers(BERT) (bu G. Kim) slide

• OOD detection of Hierarchical VAE (by J. Hong) slide

• Classifying high-dimensional Gaussian mixtures: Where kernel methds fail and neural networks succeed (by J. Hong) slide