3 citations · 6 across the 11 of their papers we have counts for
3 papers · 1 filter
Accelerating Bayesian Optimization for Nonlinear State-Space System Identification with Application to Lithium-Ion Batteries
Hao Tu, Jackson Fogelquist, Iman Askari +4
This paper studies system identification for nonlinear state-space models, a problem that arises across many fields yet remains challenging in practice. Focusing on maximum likelih…
PolypSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering
Trong-Thang Pham, Loc Nguyen, Anh Nguyen +2
Generative diffusion models are increasingly used for medical imaging data augmentation, but text prompting cannot produce causal training data. Re-prompting rerolls the entire gen…
DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction
Cuong Tran Van, Trong-Thang Pham, Ngoc-Son Nguyen +2
Sparse-view Cone-Beam Computed Tomography reconstruction from limited X-ray projections remains a challenging problem in medical imaging due to the inherent undersampling of fine-g…