4 papers
Stability of Finite-Batch Particle Mean-Field Variational Inference Beyond Strong Convexity
Vinh Nguyen, Truong Vu
We study the implementable finite-batch particle algorithm for mean-field variational inference as a fully discrete stochastic approximation of the projected Wasserstein dynamics.…
Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension
Nguyen Thai Anh, Truong Viet Vu, Tran Thien Thanh +2
The Naive Bayes (NB) classifier remains a standard choice for categorical data, yet its widely used smoothing rules, such as Laplace, Lidstone, Krichevsky-Trofimov, and the -est…
When Does Deep Representation Learning Help Single-Cell Clustering? A Sensitivity-Aware Diagnostic Benchmark for Biomedical AI Pipelines
Nguyen Thanh Phong, Truong Viet Vu, Nguyen Ha Thu +4
Single-cell ribonucleic acid sequencing (scRNA-seq) is a foundational technology for precision-medicine workflows that contribute to United Nations Sustainable Development Goal 3 o…
ATCNet-CIAM for Multi-Session Motor Imagery EEG Signal Classification
Le Huu Son Hai, Nguyen Chi Hai, Truong Viet Vu +3
Motor imagery (MI)-based electroencephalography is widely used in non-invasive brain--computer interfaces (BCIs), but robust decoding remains challenging due to inter-subject varia…