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Lam M. Nguyen

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Shuffling Momentum Gradient Algorithm for Convex Optimization

Mar 05, 2024
Trang H. Tran, Quoc Tran-Dinh, Lam M. Nguyen

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On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Dec 22, 2023
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh

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One step closer to unbiased aleatoric uncertainty estimation

Dec 20, 2023
Wang Zhang, Ziwen Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen

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A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series

Nov 21, 2023
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Roman Vaculin

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Correlated Attention in Transformers for Multivariate Time Series

Nov 20, 2023
Quang Minh Nguyen, Lam M. Nguyen, Subhro Das

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Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches

Oct 11, 2023
Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen, Tsui-Wei Weng

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Batch Clipping and Adaptive Layerwise Clipping for Differential Private Stochastic Gradient Descent

Jul 21, 2023
Toan N. Nguyen, Phuong Ha Nguyen, Lam M. Nguyen, Marten Van Dijk

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Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach

Jun 11, 2023
Anh Duy Nguyen, Trang H. Tran, Hieu H. Pham, Phi Le Nguyen, Lam M. Nguyen

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An End-to-End Time Series Model for Simultaneous Imputation and Forecast

Jun 01, 2023
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung Phan, Roman Vaculin, Jayant Kalagnanam

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Label-Free Concept Bottleneck Models

Apr 12, 2023
Tuomas Oikarinen, Subhro Das, Lam M. Nguyen, Tsui-Wei Weng

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