3 papers
cs.IT2025
Universal Rate-Distortion-Classification Representations for Lossy Compression
Nam Nguyen, Thuan Nguyen, Thinh Nguyen +1
In lossy compression, Wang et al. [1] recently introduced the rate-distortion-perception-classification function, which supports multi-task learning by jointly optimizing perceptua…
cs.IT2025
A Theory of Universal Rate-Distortion-Classification Representations for Lossy Compression
Nam Nguyen, Thinh Nguyen, Bella Bose
In lossy compression, Blau and Michaeli [5] introduced the information rate-distortion-perception (RDP) function, extending traditional rate-distortion theory by incorporating perc…
cs.LG2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo +4
Time series forecasting using historical data has been an interesting and challenging topic, especially when the data is corrupted by missing values. In many industrial problem, it…