tag:joss.theoj.org,2005:/papers/tagged/inverse%20problemJournal of Open Source Software2024-02-09T13:51:24ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/50422024-02-09T13:51:24Z2024-02-10T00:01:17Zelsa: an elegant framework for tomographic reconstructionaccepted0.8.02023-12-20 14:16:50 UTC942024-02-09 13:51:24 UTC920246174DavidFrankDepartment of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany, Munich Institute of Biomedical Engineering, Technical University of Munich, Munich, Germany0009-0006-4989-2144JonasJeltenDepartment of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany, Munich Institute of Biomedical Engineering, Technical University of Munich, Munich, Germany0000-0002-5167-2419TobiasLasserDepartment of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany, Munich Institute of Biomedical Engineering, Technical University of Munich, Munich, Germany0000-0001-5669-920X10.21105/joss.06174https://doi.org/10.5281/zenodo.10609174Python, C++, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.06174.pdfComputed Tomography, X-ray Computed Tomography, Tomography, Tomographic Reconstruction, Inverse Problems, Software Frameworktag:joss.theoj.org,2005:Paper/44462023-09-06T21:43:32Z2023-09-07T13:47:17Zxinvert: A Python package for inversion problems in geophysical fluid dynamicsacceptedv0.1.02023-04-21 22:00:51 UTC892023-09-06 21:43:32 UTC820235510Yu-KunQianState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China0000-0001-5660-761910.21105/joss.05510https://doi.org/10.5281/zenodo.8320324Pythonhttps://joss.theoj.org/papers/10.21105/joss.05510.pdfgeophysics, atmosphere, ocean, geophysical fluid dynamics, steady state problem, second-order partial differential equation, successive over relaxationtag:joss.theoj.org,2005:Paper/34302023-06-26T12:09:07Z2023-06-27T00:01:08ZLenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Piacceptedv1.0.02022-03-21 14:27:09 UTC862023-06-26 12:09:07 UTC820234747EricBezzamÉcole Polytechnique Fédérale de Lausanne (EPFL)0000-0003-4837-5031SepandKashaniÉcole Polytechnique Fédérale de Lausanne (EPFL)0000-0002-0735-371XMartinVetterliÉcole Polytechnique Fédérale de Lausanne (EPFL)0000-0002-6122-1216MatthieuSimeoniÉcole Polytechnique Fédérale de Lausanne (EPFL)0000-0002-4927-369710.21105/joss.04747https://doi.org/10.5281/zenodo.8036869C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04747.pdflensless imaging, inverse problems, Raspberry Pi, computational imagingtag:joss.theoj.org,2005:Paper/38242022-10-28T15:59:09Z2022-10-29T00:00:34ZScientific Computational Imaging Code (SCICO)acceptedv0.0.22022-08-19 18:04:15 UTC782022-10-28 15:59:09 UTC720224722ThiloBalkeLos Alamos National Laboratory, Purdue University0000-0002-1716-5923FernandoDavisLos Alamos National Laboratory, University of Puerto Rico-MayaguezCristinaGarcia-CardonaLos Alamos National Laboratory0000-0002-5641-3491SoumenduMajeeSamsung Research America0000-0002-8442-2897MichaelMcCannLos Alamos National Laboratory0000-0001-7645-252XLukePfisterLos Alamos National Laboratory0000-0001-7485-5966BrendtWohlbergLos Alamos National Laboratory0000-0002-4767-184310.21105/joss.04722https://doi.org/10.5281/zenodo.7255839Pythonhttps://joss.theoj.org/papers/10.21105/joss.04722.pdfcomputational imaging, scientific imaging, inverse problemstag:joss.theoj.org,2005:Paper/32952022-07-19T20:57:39Z2022-07-20T08:38:54Zswyft: Truncated Marginal Neural Ratio Estimation in Pythonacceptedv0.3.02022-01-18 13:06:59 UTC752022-07-19 20:57:39 UTC720224205BenjaminKurtMillerGravitation Astroparticle Physics Amsterdam (GRAPPA), University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Amsterdam Machine Learning Lab (AMLab), University of Amsterdam, Science Park 904, 1098 XH Amsterdam, AI4Science Lab, University of Amsterdam, Science Park 904, 1098 XH Amsterdam0000-0003-0387-8727AlexColeGravitation Astroparticle Physics Amsterdam (GRAPPA), University of Amsterdam, Science Park 904, 1098 XH Amsterdam0000-0001-8035-4308ChristophWenigerGravitation Astroparticle Physics Amsterdam (GRAPPA), University of Amsterdam, Science Park 904, 1098 XH Amsterdam0000-0001-7579-8684FrancescoNattinoNetherlands eScience Center, Science Park 140, 1098 XG Amsterdam, The Netherlands0000-0003-3286-0139OuKuNetherlands eScience Center, Science Park 140, 1098 XG Amsterdam, The Netherlands0000-0002-5373-5209MeiertW.GrootesNetherlands eScience Center, Science Park 140, 1098 XG Amsterdam, The Netherlands0000-0002-5733-479510.21105/joss.04205https://doi.org/10.5281/zenodo.6412465Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04205.pdfsimulation-based inference, likelihood-free inference, machine learning, bayesian inference, system identification, parameter identification, inverse problemtag:joss.theoj.org,2005:Paper/34172022-05-30T22:45:05Z2022-05-31T00:01:36ZDIRECT: Deep Image REConstruction Toolkitacceptedv1.0.12022-03-09 18:05:29 UTC732022-05-30 22:45:05 UTC720224278GeorgeYiasemisNetherlands Cancer Institute, University of AmsterdamNikitaMoriakovNetherlands Cancer Institute, Radboud University Medical CenterDimitriosKarkalousosAmsterdam UMC, Biomedical Engineering and PhysicsMatthanCaanAmsterdam UMC, Biomedical Engineering and PhysicsJonasTeuwenNetherlands Cancer Institute, University of Amsterdam, Radboud University Medical Center10.21105/joss.04278https://doi.org/10.5281/zenodo.6594702Pythonhttps://joss.theoj.org/papers/10.21105/joss.04278.pdfPytorch, Deep Learning, Inverse Problem Solver, Image Processing, Deep MRI reconstruction, Accelerated MRItag:joss.theoj.org,2005:Paper/24322021-12-09T17:58:26Z2021-12-10T00:02:12ZMUQ: The MIT Uncertainty Quantification Libraryacceptedv0.3.22021-02-26 17:04:54 UTC682021-12-09 17:58:26 UTC620213076MatthewParnoDepartment of Mathematics, Dartmouth College, Hanover, NH USA0000-0002-9419-2693AndrewDavisCourant Institute of Mathematical Sciences, New York University, New York, NY USA0000-0002-6023-0989LinusSeelingerInstitute for Scientific Computing, Heidelberg University, Heidelberg, Germany0000-0001-8632-849310.21105/joss.03076https://doi.org/10.5281/zenodo.5770267C++, Objective-Chttps://joss.theoj.org/papers/10.21105/joss.03076.pdfPython, Bayesian Inference, Inverse Problems, Uncertainty Quantificationtag:joss.theoj.org,2005:Paper/20052021-01-24T17:06:45Z2021-02-15T11:30:01Zhawen: time-harmonic wave modeling and inversion using hybridizable discontinuous Galerkin discretizationacceptedv0.1.22020-09-01 10:08:59 UTC572021-01-24 17:06:45 UTC620212699FlorianFaucherFaculty of Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, A-1090 Vienna, Austria.0000-0003-4958-751110.21105/joss.02699https://doi.org/11353/10.1144094Fortran, Chttps://joss.theoj.org/papers/10.21105/joss.02699.pdfwave equations, inverse problems, geophysics, helioseismology, Hybridizable Discontinuous Galerkin method, viscoelasticity, MPI and OpenMP parallelismtag:joss.theoj.org,2005:Paper/6052018-10-23T19:00:50Z2021-02-15T11:33:03ZhIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problemsaccepted2.1.02018-08-27 16:51:19 UTC302018-10-23 19:00:50 UTC32018940UmbertoVillaInstitute for Computational Engineering & Sciences, The University of Texas at AustinNoemiPetraApplied Mathematics, School of Natural Sciences, University of California, MercedOmarGhattasInstitute for Computational Engineering & Sciences, Department of Mechanical Engineering, and Department of Geological Sciences, The University of Texas at Austin10.21105/joss.00940https://doi.org/10.5281/zenodo.596931Python, C++, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.00940.pdfInfinite-dimensional inverse problems, adjoint-based methods, numerical optimization, Bayesian inference, uncertainty quantification, PDE toolkittag:joss.theoj.org,2005:Paper/4972018-06-04T14:04:02Z2021-02-15T11:33:22ZPyUnfold: A Python package for iterative unfoldingacceptedv0.32018-05-16 14:22:08 UTC262018-06-04 14:04:02 UTC32018741JamesBourbeauUniversity of Wisconsin - Madison, Wisconsin, USA0000-0003-2164-7789ZigfriedHampel-AriasUniversity of Wisconsin - Madison, Wisconsin, USA, IIHE, Université Libre de Bruxelles, Bruxelles, Belgium0000-0003-0253-911710.21105/joss.00741https://doi.org/10.5281/zenodo.1258211Pythonhttps://joss.theoj.org/papers/10.21105/joss.00741.pdfunfolding, estimation, statistics, deconvolution, inverse problems