1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo +2
Foundation models have recently gained attention within the field of machine learning thanks to its efficiency in broad data processing. While researchers had attempted to extend t…
cs.LG2023★ 1 cited
Correlated Attention in Transformers for Multivariate Time Series
Quang Minh Nguyen, Lam M. Nguyen, Subhro Das
Multivariate time series (MTS) analysis prevails in real-world applications such as finance, climate science and healthcare. The various self-attention mechanisms, the backbone of…
cs.LG2022
Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution
Lam M. Nguyen, Trang H. Tran, Marten van Dijk
Deep neural networks (DNNs) have shown great success in many machine learning tasks. Their training is challenging since the loss surface of the network architecture is generally n…