2 papers
cs.LG2025
nuGPR: GPU-Accelerated Gaussian Process Regression with Iterative Algorithms and Low-Rank Approximations
Ziqi Zhao, Vivek Sarin
Gaussian Process Regression (GPR) is an important type of supervised machine learning model with inherent uncertainty measure in its predictions. We propose a new framework, nuGPR,…
cs.LG2025
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
Boshi Gao, Qingjian Ni, Fanbo Ju +2
Long-term time series forecasting (LTSF) offers broad utility in practical settings like energy consumption and weather prediction. Accurately predicting long-term changes, however…