3 papers
stat.ML2026
Highly Efficient and Effective LLMs with Multi-Boolean Architectures
Ba-Hien Tran, Van Minh Nguyen
Weight binarization has emerged as a promising strategy to reduce the complexity of large language models (LLMs). Existing approaches fall into post-training binarization, which is…
eess.IV2025
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)
Shijun Liang, Van Hoang Minh Nguyen, Jinghan Jia +3
As the popularity of deep learning (DL) in the field of magnetic resonance imaging (MRI) continues to rise, recent research has indicated that DL-based MRI reconstruction models mi…
stat.ML2025
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen, Cristian Ocampo, Aymen Askri +2
Deep learning is computationally intensive, with significant efforts focused on reducing arithmetic complexity, particularly regarding energy consumption dominated by data movement…