Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes]

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Cited alongside, same era.

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Later among the works it cites.

E. Meir and T. Routtenberg, “Cram e ´ \acute{\text{e}} r-Rao bound for estimation after model selection and its application to sparse vector estimation,” IEEE Trans. Signal Process. , vol. 69, pp. 2284–2301, 2021

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N. Shlezinger, Y. C. Eldar, and S. P. Boyd, “Model-based deep learning: On the intersection of deep learning and optimization,” IEEE Access , vol. 10, pp. 115 384–115 398, 2022

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Closest in time.

N. Shlezinger, J. Whang, Y. C. Eldar, and A. G. Dimakis, “Model-based deep learning,” Proc. IEEE , 2023

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Closest in time.