Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression

John Mango, Ronald Katende

This paper introduces a dynamic, error-bounded hierarchical matrix (H-matrix) compression method tailored for Physics-Informed Neural Networks (PINNs). The proposed approach reduce…