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Physics Makes Black-box Deep Learning Models Transparent

By: 
Prof. Zicheng Liu

Electromagnetic inverse scattering problems (ISPs) are crucial in noninvasive imaging but challenging due to nonlinearity and computational costs. This blog explores machine learning-based ISP solvers with physics-guided loss functions, emphasizing the role of near-field priors and multiple-scattering effects. Numerical experiments highlight the advantages and limitations of these approaches.

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2022 IEEE SPS Seasonal School on AI for Optimisation in Signal Processing

July 11-15, 2022
Registration Deadline: July 5, 2022
Location: Virtual

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