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Preprint Aug 2026

Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network

This work presents a method to accelerate the optimization of learning high dimensional functions using deep neural network (DNN), and studies the effect of adding features which distill pretrained DNN into TNs using a discretize and decompose strategy.

Karl Pierce, Y. Khoo, Haizhao Yang · 0 citations