Systematically manipulating T-cell signaling dynamics via multiple model informed open-loop controller design. - Jeffrey P. Perley; Judith Mikolajczak; Vu C. Dinh; Marietta L. Harrison; Gregery T. Buzzard; Ann E. Rundell (CDC, 2012)

Mel-frequency Cepstral Coefficients for Eye Movement Identification. - Viet Cuong Nguyen; Vu C. Dinh; Lam Si Tung Ho (ICTAI, 2012)

Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data. - Viet Cuong Nguyen; Lam Si Tung Ho; Vu C. Dinh (ALT, 2013)

Robust explicit nonlinear model predictive control with integral sliding mode. - Ankush Chakrabarty; Vu C. Dinh; Gregery T. Buzzard; Stanislaw H. Zak; Ann E. Rundell (ACC, 2014)

Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. - Vu C. Dinh; Lam Si Tung Ho; Viet Cuong Nguyen; Duy M. H. Nguyen; Binh T. Nguyen 001 (TAMC, 2015)

Fast learning rates with heavy-tailed losses. - Vu C. Dinh; Lam Si Tung Ho; Binh T. Nguyen 001; Duy M. H. Nguyen (NIPS, 2016)

Support Vector Machine Informed Explicit Nonlinear Model Predictive Control Using Low-Discrepancy Sequences. - Ankush Chakrabarty; Vu C. Dinh; Martin J. Corless; Ann E. Rundell; Stanislaw H. Zak; Gregery T. Buzzard (IEEE Trans. Autom. Control., 2017)

OASIS: An Active Framework for Set Inversion. - Binh T. Nguyen 001; Duy M. H. Nguyen; Lam Si Tung Ho; Vu C. Dinh (SoMeT, 2018)

An active learning framework for set inversion. - Binh T. Nguyen 001; Duy M. H. Nguyen; Lam Si Tung Ho; Vu C. Dinh (Knowl. Based Syst., 2019)

Consistent feature selection for analytic deep neural networks. - Vu C. Dinh; Lam Si Tung Ho (NeurIPS, 2020)

Consistent feature selection for neural networks via Adaptive Group Lasso. - Lam Si Tung Ho; Vu C. Dinh (CoRR, 2020)

Posterior concentration and fast convergence rates for generalized Bayesian learning. - Lam Si Tung Ho; Binh T. Nguyen 001; Vu C. Dinh; Duy M. H. Nguyen (Inf. Sci., 2020)

Searching for Minimal Optimal Neural Networks. - Lam Si Tung Ho; Vu C. Dinh (CoRR, 2021)

Posterior concentration and fast convergence rates for generalized Bayesian learning. - Lam Si Tung Ho; Binh T. Nguyen 001; Vu C. Dinh; Duy Nguyen 003 (CoRR, 2021)

Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. - Cuong N. Nguyen; Lam Si Tung Ho; Vu C. Dinh; Tal Hassner; Cuong V. Nguyen (ISITA, 2022)

Bayesian active learning with abstention feedbacks. - Cuong V. Nguyen; Lam Si Tung Ho; Huan Xu 001; Vu C. Dinh; Binh T. Nguyen 001 (Neurocomputing, 2022)

Simple Transferability Estimation for Regression Tasks. - Cuong N. Nguyen; Phong Tran; Lam Si Tung Ho; Vu C. Dinh; Anh T. Tran; Tal Hassner; Cuong V. Nguyen (UAI, 2023)

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. - Vu C. Dinh; Lam S. Ho; Cuong V. Nguyen (NeurIPS, 2024)

Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. - Vu C. Dinh; Lam Si Tung Ho; Cuong V. Nguyen (CoRR, 2024)