11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2025
RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
Chih-Yu Lai, Yu-Chien Ning, Duane S. Boning
Probabilistic Time Series Forecasting (PTSF) plays a critical role in domains requiring accurate and uncertainty-aware predictions for decision-making. However, existing methods of…
cs.CV2024
Learned Image Compression with Text Quality Enhancement
Chih-Yu Lai, Dung Tran, Kazuhito Koishida
Learned image compression has gained widespread popularity for their efficiency in achieving ultra-low bit-rates. Yet, images containing substantial textual content, particularly s…
cs.LG2023★ 11 cited
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
Chih-Yu Lai, Fan-Keng Sun, Zhengqi Gao +2
Time series anomaly detection is challenging due to the complexity and variety of patterns that can occur. One major difficulty arises from modeling time-dependent relationships to…