Nguyen, Binh T.

10 publications

NeurIPS 2025 A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random Binh Huu Ho, Long Nguyen Chi, TrungTin Nguyen, Van Ha Hoang, Binh T. Nguyen, Christopher Drovandi

NeurIPS 2025 Mitigating Reward Over-Optimization in Direct Alignment Algorithms with Importance Sampling Nguyen Minh Phuc, Ngoc-Hieu Nguyen, Duy Minh Ho Nguyen, Anji Liu, An Mai, Binh T. Nguyen, Daniel Sonntag, Khoa D Doan

NeurIPS 2024 Accelerating Transformers with Spectrum-Preserving Token Merging Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Zou, Binh T. Nguyen, Mathias Niepert

ICLRW 2024 Energy Minimizing-Based Token Merging for Accelerating Transformers Hoai-Chau Tran, Duy Minh Ho Nguyen, Manh-Duy Nguyen, Ngan Hoang Le, Binh T. Nguyen

NeurIPS 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance Junyu Chen, Binh T. Nguyen, Shang Hui Koh, Yong Sheng Soh

AAAI 2023 Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering Duy M. H. Nguyen, Hoang Nguyen, Truong Thanh Nhat Mai, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

NeurIPSW 2023 On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert

NeurIPS 2022 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot

NeurIPS 2022 Benchopt: Reproducible, Efficient and Collaborative Optimization Benchmarks Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter

WACV 2017 3D-Brain Segmentation Using Deep Neural Network and Gaussian Mixture Model Duy M. H. Nguyen, Huy T. Vu, Quang Huy Ung, Binh T. Nguyen