Abstract: As sensing technology advances, engineers can monitor a system's physical characteristics or performance measures for reliability assessments. The evolution of such measurements as the ...
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 ...
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