sparse-reconstruction

HarmoCore introduces a functional latent diffusion method for reconstructing oscillatory wave fields from sparse sensor data, achieving significant improvements in efficiency and accuracy with minimal sensing in 2D and 3D scenarios.

This paper introduces S4R, a low-rank KV cache compression method that combines selective token sampling, subspace construction, and sparse reconstruction to achieve up to 5× compression with near full-cache accuracy on LongBench and RULER benchmarks.