Physics-Inspired Deep Learning for Inverse Problems in MRI by Singh, Nalini M.

“…We demonstrate the power of combining the forward image acquisition model with deep learning solutions for inverse problems in magnetic resonance imaging (MRI), from individual network layers to the network architecture design and inference procedure. …”
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TRIPs-Py: Techniques for regularization of inverse problems in python by Pasha, Mirjeta, Gazzola, Silvia, Sanderford, Connor, Ugwu, Ugochukwu O.

“…In this paper we describe TRIPs-Py, a new Python package of linear discrete inverse problems solvers and test problems. The goal of the package is two-fold: 1) to provide tools for solving small and large-scale inverse problems, and 2) to introduce test problems arising from a wide range of applications. …”
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Inverse problem for stress in the earth based on geodetic data by Ikeda, Keiichiro

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Seismic velocities in porous rocks : direct and inverse problems/ by Cheng, Chuen Hon Arthur

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Statistical analysis of fiber composite interphase inverse problem by Cimaszewski, Steven A. (Steven Andrew)

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Transform-domain sparsity regularization for inverse problems in geosciences by Jarapour, Behnam, Goyal, Vivek K., McLaughlin, Dennis, Freeman, William T.

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Bayesian inverse problems with Monte Carlo forward models by Bal, Guillaume, Langmore, Ian, Marzouk, Youssef M.

“…The full application of Bayesian inference to inverse problems requires exploration of a posterior distribution that typically does not possess a standard form. …”
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Model order reduction for Bayesian approach to inverse problems by Nguyen, Ngoc-Hien, Willcox, Karen E., Khoo, Boo Cheong

“…This work presents an approach to solve inverse problems in the application of water quality management in reservoir systems. …”
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Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems by Li, Jinglai, Marzouk, Youssef M.

“…The Bayesian approach to inverse problems typically relies on posterior sampling approaches, such as Markov chain Monte Carlo, for which the generation of each sample requires one or more evaluations of the parameter-to-observable map or forward model. …”
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Likelihood-informed dimension reduction for nonlinear inverse problems by Martin, J., Cui, Tiangang, Marzouk, Youssef M., Solonen, Antti, Spantini, Alessio

“…The intrinsic dimensionality of an inverse problem is affected by prior information, the accuracy and number of observations, and the smoothing properties of the forward operator. …”
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Deep reinforcement learning for intractable routing & inverse problems by Zhang, Rongkai

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On the inverse problem of competitive modes and the search for chaotic dynamics by Ruks, L, Van Gorder, R

“…Solving the direct inverse problem is equivalent to finding solutions to a inhomogeneous form of the Euler equations. …”

Evolving graphs: Dynamical models, inverse problems and propagation by Grindrod, P, Higham, D

An exact solution of the inverse problem in heat conduction theory and applications / by 293992 Burggraf, Odus R.

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Light scattering reviews 2 : remote sensing and inverse problems / by Kokhanovsky, Alexander A.

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An Inverse Problem for Quantum Trees with Delta-Prime Vertex Conditions by Sergei Avdonin, Julian Edward

Subjects: “…inverse problems…”
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Algorithm for Optimization of Inverse Problem Modeling in Fuzzy Cognitive Maps by Alina Vladimirovna Petukhova, Anna Vladimirovna Kovalenko, Anna Vyacheslavovna Ovsyannikova

“…This approach reduces the time needed to find the optimal solution to a problem, and it allows inverse problems to be solved in the fuzzy cognitive maps as a part of the scenario-modeling framework.…”
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An inverse problem for Hilfer type differential equation of higher order by T.K. Yuldashev, B.J. Kadirkulov, Kh.R. Mamedov

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Application of Potential Theory in the Numerical Solution of the Inverse Problem of Gravimetry by Z. Z. Arsanukaev, E. G. Rudakovskaya

“…This article discusses the results of a study in solving the inverse problem of gravimetry. It is shown that the solution of the inverse problem should be conducted in two stages. …”
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Impact of the Patient Torso Model on the Solution of the Inverse Problem of Electrocardiography by Milan Tysler, Jana Lenkova, Jana Svehlikova

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