3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Duy A. Nguyen, Quan Huu Do, Khoa D. Doan +1
Multimodal learning has demonstrated incredible successes by integrating diverse data sources, yet it often relies on the availability of all modalities - an assumption that rarely…
stat.ML2025★ 1 cited
DPERC: Direct Parameter Estimation for Mixed Data
Tuan L. Vo, Quan Huu Do, Uyen Dang +4
The covariance matrix is a foundation in numerous statistical and machine-learning applications such as Principle Component Analysis, Correlation Heatmap, etc. However, missing val…
stat.ML2023★ 3 cited
A Generalization Bound of Deep Neural Networks for Dependent Data
Quan Huu Do, Binh T. Nguyen, Lam Si Tung Ho
Existing generalization bounds for deep neural networks require data to be independent and identically distributed (iid). This assumption may not hold in real-life applications suc…