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cs.LG2026
Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality
Ziqi Liu, Pei Zeng, Yi Ding
Real-world multichannel time series prediction faces growing demands for efficiency across edge and cloud environments, making channel compression a timely and essential problem. M…
cs.LG2025
Training-free Ultra Small Model for Universal Sparse Reconstruction in Compressed Sensing
Chaoqing Tang, Huanze Zhuang, Guiyun Tian +4
Pre-trained large models attract widespread attention in recent years, but they face challenges in applications that require high interpretability or have limited resources, such a…