Khoa Tran

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cs.LG2025

GCN-TULHOR: Trajectory-User Linking Leveraging GCNs and Higher-Order Spatial Representations

Khoa Tran, Pranav Gupta, Manos Papagelis

Trajectory-user linking (TUL) aims to associate anonymized trajectories with the users who generated them, which is crucial for personalized recommendations, privacy-preserving ana…

cs.LG2025

Fairness and Robustness in Machine Unlearning

Khoa Tran, Simon S. Woo

Machine unlearning poses the challenge of ``how to eliminate the influence of specific data from a pretrained model'' in regard to privacy concerns. While prior research on approxi…

cs.LG2024

Uniform $C^{k}$ Approximation of $G$ -Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations

Soumya Ganguly, Khoa Tran, Rahul Sarkar

For any subgroup $G$ of the symmetric group $S_{n}$ on $n$ symbols, we present results for the uniform $C^{k}$ approximation of $G$ -invariant functions by $G$ -invar…

GCN-TULHOR: Trajectory-User Linking Leveraging GCNs and Higher-Order Spatial Representations

Fairness and Robustness in Machine Unlearning

Uniform Ck Approximation of G-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations

Uniform $C^{k}$ Approximation of $G$ -Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations