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cs.CV2025
The Joint Gromov Wasserstein Objective for Multiple Object Matching
Aryan Tajmir Riahi, Khanh Dao Duc
The Gromov-Wasserstein (GW) distance serves as a powerful tool for matching objects in metric spaces. However, its traditional formulation is constrained to pairwise matching betwe…
cs.LG2025
Wasserstein projection distance for fairness testing of regression models
Wanxin Li, Yongjin P. Park, Khanh Dao Duc
Fairness testing evaluates whether a model satisfies a specified fairness criterion across different groups, yet most research has focused on classification models, leaving regress…
cs.CV2025
CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Nets
Chenwei Zhang, Khanh Dao Duc
Enhancing cryogenic electron microscopy (cryo-EM) 3D density maps at intermediate resolution (4-8 Å) is crucial in protein structure determination. Recent advances in deep learning…