Abstract: Deep unfolding framework has witnessed remarkable progress for hyperspectral image (HSI) reconstruction benefitting from advanced consolidation of the imaging model-driven and data-driven ...
Distribution-Aware Neural Additive Models: Robust Interpretable Deep Learning with Feature Selection
Abstract: Neural Additive Models (NAMs) have gained traction as an interpretable class of deep learning models, offering a favorable trade-off between transparency and accuracy. However, the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results