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cs.LG2025
BRIDLE: Generalized Self-supervised Learning with Quantization
Hoang M. Nguyen, Satya N. Shukla, Qiang Zhang +6
Self-supervised learning has been a powerful approach for learning meaningful representations from unlabeled data across various domains, reducing the reliance on large labeled dat…
cs.LG2023★ 2 cited
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models
Xuefeng Gao, Hoang M. Nguyen, Lingjiong Zhu
Score-based generative models (SGMs) is a recent class of deep generative models with state-of-the-art performance in many applications. In this paper, we establish convergence gua…