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Found 3 papers, 2 papers with code
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches
A suite of performance metrics is employed to assess the efficacy of these methods.
A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems
In this work, we focus on the inverse medium scattering problem (IMSP), which aims to recover unknown scatterers based on measured scattered data.
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems
Recent years have witnessed a growth in mathematics for deep learning--which seeks a deeper understanding of the concepts of deep learning with mathematics and explores how to make it more robust--and deep learning for mathematics, where deep learning algorithms are used to solve problems in mathematics.
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