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20232026
most citedElectrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches

3 citations · 5 across the 4 of their papers we have counts for

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math.NA2026

Stochastic Gradient Descent for Nonlinear Inverse Problems in Banach Spaces

Bangti Jin, Zeljko Kereta, Yuxin Xia

Stochastic gradient descent (SGD) and its variants are widely used and highly effective optimization methods in machine learning, especially for neural network training. By using a…