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cs.LG2026
Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network
Karl Pierce, Yuehaw Khoo, Haizhao Yang
In this work we present a method to accelerate the optimization of learning high dimensional functions using deep neural network (DNN). This optimization procedure introduces conte…
math.OC2026
Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
Shixin Zheng, Yiwei Wang, Haizhao Yang
We develop a geometric convergence theory for neural-network optimization within the minimizing movement scheme (MMS) framework. Reformulating each neural MMS step as a minimizatio…