23 citations · 23 across the 4 of their papers we have counts for
4 papers
A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
Nguyen Viet Hoang, Dung D. Le, Tran Ngoc Thang
We address the open problem of training hypernetworks for Controllable Pareto Front Learning (CPFL) under split feasibility conditions with rigorous theoretical guarantees. We refo…
A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
Vu Duc Anh, Tran Anh Tuan, Tran Ngoc Thang +1
Generalized linear regressions, such as logistic regressions or Poisson regressions, are long-studied regression analysis approaches, and their applications are widely employed in…
A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications
Tran Anh Tuan, Long P. Hoang, Dung D. Le +1
Pareto Front Learning (PFL) was recently introduced as an efficient method for approximating the entire Pareto front, the set of all optimal solutions to a Multi-Objective Optimiza…
Acoustic Cloak Design via Machine Learning
Thang Tran, Feruza Amirkulova, Ehsan Khatami
Acoustic metamaterials are engineered microstructures with special mechanical and acoustic properties enabling exotic effects such as wave steering, focusing and cloaking. The desi…