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cs.LG2026
TabNSM: Neural Sparse Mixer for Tabular Regression
Ali Eslamian, Qiang Cheng
Large-scale, high-dimensional tabular regression remains challenging: tree-based models are robust but lack end-to-end representation learning, while deep models enable flexible fe…
physics.med-ph2026
Physics-informed neural networks for quantitative assessment of cancellous bone microstructure from photoacoustic signals
Shoukun Lyu, Haohan Sun, Shibo Nie +5
Artificial intelligence (AI) empowers innovative diagnostic tools for common diseases, yet its clinical application in skeletal health evaluation is constrained by unsatisfactory a…