Then, a deep neural network called GKMNet is developed by unrolling a fixed-point iteration of the GKM-based deblurring.

Artificial intelligence (AI) systems possess significant potential to drive societal progress. However, their deployment often faces obstacles due to substantial safety concerns.

Recently,therehasbeenanincreasing interestindevelopment of Transformer-based methods for graphs that can consider full node connectivity beyond the original sparse structure, thus enabling the modeling of LRI.

The remarkable progress in deep learning in recent years is largely driven by improvements in scale, where bigger models are trained on larger datasets for longerschedules.