Span of regularization for solution of inverse problems with application to magnetic resonance relaxometry of the brain. [PDF]
Sci Rep, 2022 Bi C, Ou MY, Bouhrara M, Spencer RG.
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Learning latent hardening: enhancing deep learning with domain knowledge for material inverse problems. [PDF]
Philos Trans A Math Phys Eng SciTian Q +3 more
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Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems. [PDF]
Entropy (Basel), 2021 Mohammad-Djafari A.
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Generative modelling meets Bayesian inference: a new paradigm for inverse problems. [PDF]
Philos Trans A Math Phys Eng SciOliviero-Durmus A +4 more
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On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers. [PDF]
IEEE Trans Signal Process, 2023 Haldar JP.
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Denoising: a powerful building block for imaging, inverse problems and machine learning. [PDF]
Philos Trans A Math Phys Eng SciMilanfar P, Delbracio M.
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Equivariant neural networks for inverse problems. [PDF]
Inverse Probl, 2021 Celledoni E +5 more
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Uniqueness of an inverse cavity problem for the biharmonic equation
Heping Dong, Peijun Li, Heyue Zhang
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