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E., Guthke A., & Bürkner P. C. (2023). Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. ArXiv preprint 2312.05153. arXiv: 2312.05153","abstract": "This code allows to replicate key experiments from our paper: Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference. 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Visualizing Results: The analysis_results directory contains a notebook to create the plots used in the paper, as well as a script to read the log files and calculate the time per iteration of the different experiments.The plots are generated using the results from the data_evaluation/results directory. Results are read from .hdf5 files. All results produced using the UNITE Toolbox.", "affiliation" : "Alvarez Chaves, Manuel/Universität Stuttgart, Gupta, Hoshin/The University of Arizona, Ehret, Uwe/Karlsruhe Institute of Technology, Guthke, Anneli/Universität Stuttgart", "orcid-numbers" : "Alvarez Chaves, Manuel/0009-0002-8990-3785, Gupta, Hoshin/0000-0001-9855-2839, Ehret, Uwe/0000-0003-3454-8755, Guthke, Anneli/0000-0003-2901-1603", "doi" : "10.18419/darus-4087", "bibtexKey": "alvarezchaves2024replication" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2a3bb171c485f7d28f9aefb42dd52b134/smdi", "tags" : [ "smdi","software" ], "intraHash" : "a3bb171c485f7d28f9aefb42dd52b134", "interHash" : "69f6884b1bc0733fd873a25396b14bdd", "label" : "UNITE Toolbox", "user" : "smdi", "description" : "", "date" : "2026-01-16 12:50:33", "changeDate" : "2026-01-16 12:50:59", "count" : 3, "pub-type": "misc", "year": "2024", "url": "", "author": [ "Manuel Alvarez Chaves","Uwe Ehret","Anneli Guthke" ], "authors": [ {"first" : "Manuel", "last" : "Alvarez Chaves"}, {"first" : "Uwe", "last" : "Ehret"}, {"first" : "Anneli", "last" : "Guthke"} ], "abstract": "UNITE Toolbox: Unified diagnostic evaluation of scientific models based on information theoryThe UNITE Toolbox is a Python library for incorporating Information Theoryinto data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantitiesin one easy-to-use Python package. Currently, UNITE includes functions to calculate entropy H(X),Kullback-Leibler divergence D_KL(p||q), and mutual information I(X; Y),using three methods: Kernel density-based estimation (KDE), Binning using histograms, k-nearest neighbor-based estimation (k-NN). DaRUS: This is the DaRUS archive for the UNITE toolbox. This archive is currently in version 0.1.9 which is the latest version as of 13.05.2024. This archive will be updated semi-regularly. Check the Github repository for the latest version. Installation: Although the code is still highly experimental and in very active development,a release version is available on PyPI and can be installed using pip. pip install unite_toolbox. Check the pyproject.toml for requirements. Note: pip will install the latest version which might not exactly match this archive. How-to: In the documentation please findtutorials onthe general usage of the toolbox and some applications.", "affiliation" : "Álvarez Chaves, Manuel/University of Stuttgart, Ehret, Uwe/Karlsruhe Institute of Technology, Guthke, Anneli/University of Stuttgart", "orcid-numbers" : "Álvarez Chaves, Manuel/0009-0002-8990-3785, Ehret, Uwe/0000-0003-3454-8755, Guthke, Anneli/0000-0003-2901-1603", "doi" : "10.18419/darus-4188", "bibtexKey": "alvarezchaves2024unite" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2a3bb171c485f7d28f9aefb42dd52b134/aguthke", "tags" : [ "myown","smdi","software" ], "intraHash" : "a3bb171c485f7d28f9aefb42dd52b134", "interHash" : "69f6884b1bc0733fd873a25396b14bdd", "label" : "UNITE Toolbox", "user" : "aguthke", "description" : "", "date" : "2026-01-16 12:50:33", "changeDate" : "2026-01-16 12:50:33", "count" : 3, "pub-type": "misc", "year": "2024", "url": "", "author": [ "Manuel Alvarez Chaves","Uwe Ehret","Anneli Guthke" ], "authors": [ {"first" : "Manuel", "last" : "Alvarez Chaves"}, {"first" : "Uwe", "last" : "Ehret"}, {"first" : "Anneli", "last" : "Guthke"} ], "abstract": "UNITE Toolbox: Unified diagnostic evaluation of scientific models based on information theoryThe UNITE Toolbox is a Python library for incorporating Information Theoryinto data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantitiesin one easy-to-use Python package. Currently, UNITE includes functions to calculate entropy H(X),Kullback-Leibler divergence D_KL(p||q), and mutual information I(X; Y),using three methods: Kernel density-based estimation (KDE), Binning using histograms, k-nearest neighbor-based estimation (k-NN). DaRUS: This is the DaRUS archive for the UNITE toolbox. This archive is currently in version 0.1.9 which is the latest version as of 13.05.2024. This archive will be updated semi-regularly. Check the Github repository for the latest version. Installation: Although the code is still highly experimental and in very active development,a release version is available on PyPI and can be installed using pip. pip install unite_toolbox. Check the pyproject.toml for requirements. Note: pip will install the latest version which might not exactly match this archive. How-to: In the documentation please findtutorials onthe general usage of the toolbox and some applications.", "affiliation" : "Álvarez Chaves, Manuel/University of Stuttgart, Ehret, Uwe/Karlsruhe Institute of Technology, Guthke, Anneli/University of Stuttgart", "orcid-numbers" : "Álvarez Chaves, Manuel/0009-0002-8990-3785, Ehret, Uwe/0000-0003-3454-8755, Guthke, Anneli/0000-0003-2901-1603", "doi" : "10.18419/darus-4188", "bibtexKey": "alvarezchaves2024unite" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/224893a912dfb5b5929db535fcda98b94/bhermann", "tags" : [ "static","LLVM,","its","engineering","analysis","→","and","compositional","analysis,","Inter-procedural","Automated","Software","C/C++," ], "intraHash" : "24893a912dfb5b5929db535fcda98b94", "interHash" : "86c8a7c60dc926df74d15f3d47694d8f", "label" : "Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis", "user" : "bhermann", "description" : "", "date" : "2025-12-17 11:01:40", "changeDate" : "2025-12-17 11:01:40", "count" : 1, "pub-type": "inproceedings", "publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik", "year": "2021", "url": "https://drops.dagstuhl.de/opus/volltexte/2021/14045/", "author": [ "Philipp Dominik Schubert","Ben Hermann","Eric Bodden" ], "authors": [ {"first" : "Philipp Dominik", "last" : "Schubert"}, {"first" : "Ben", "last" : "Hermann"}, {"first" : "Eric", "last" : "Bodden"} ], "copyright" : "Creative Commons Attribution 4.0 International license", "language" : "en", "doi" : "10.4230/LIPICS.ECOOP.2021.2", "bibtexKey": "https://doi.org/10.4230/lipics.ecoop.2021.2" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/22453519963a6f2b2b93510c6771d18f8/iew_homepage", "tags" : [ "Coils","Electric_vehicles","Integrated_circuit_modeling","Load_modeling","Rotors","Software","Steady-state","Synchronous_Machines","Wireless_Power_Transfer","brushless_wound_rotor_synchronous_machine_(WRSM)","drive_cycle","hp_iew","inductive_electrically_excited_synchronous_machine_(iEESM)","inverters","loss_modeling","system_level_simulation","wireless_power_transfer_(WPT)" ], "intraHash" : "2453519963a6f2b2b93510c6771d18f8", "interHash" : "f580a70c1e13ab5d88b11898a36811fc", "label" : "Automotive Drive Cycle Loss Analysis of a Wireless Power Transfer System for Electric Vehicle Traction Machine Rotor Excitation", "user" : "iew_homepage", "description" : "", "date" : "2025-07-21 13:11:25", "changeDate" : "2025-07-21 13:11:25", "count" : 1, "pub-type": "inproceedings", "booktitle": "2025 IEEE Wireless Power Technology Conference and Expo (WPTCE)", "year": "2025", "url": "", "author": [ "Andreas Gneiting","Andreas Bähr","Felix Burkard","Nejila Parspour" ], "authors": [ {"first" : "Andreas", "last" : "Gneiting"}, {"first" : "Andreas", "last" : "Bähr"}, {"first" : "Felix", "last" : "Burkard"}, {"first" : "Nejila", "last" : "Parspour"} ], "pages": "1--6","abstract": "Electric vehicle (EV) traction machines performance is often evaluated according to the efficiency throughout various drive cycles. Analysis of electrically excited synchronous machines with inductive rotor excitation (iEESM) often exclude the wireless power transfer (WPT) system from drive cycle loss evaluation. This paper addresses this issues by introducing a software routine for creating a steady-state, fast WPT loss model to be included in the iEESM system-level simulation model. The inverter and rectifier losses are determined in circuital WPT simulations while the coupled coils losses are evaluated with FEA. The FEA model uses the load points calculated by the circuital simulation. The drive cycle loss analysis in the Worldwide Harmonized Light Vehicles Test Procedure (WLTP) cycle shows the effectiveness of the developed model.", "file" : "Gneiting, Bähr et al 2025 - Automotive Drive Cycle Loss Analysis:Attachments/Gneiting, Bähr et al 2025 - Automotive Drive Cycle Loss Analysis.pdf:application/pdf", "doi" : "10.1109/WPTCE62521.2025.11062305", "bibtexKey": "GneitingAndreas.2025.AutomotiveDriveCycleLoss" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2955bf46a3d9fc4e3e2afb61c1a26c88c/topp", "tags" : [ "flow-based","gnss","ins","myown","open-source","rtk","software" ], "intraHash" : "955bf46a3d9fc4e3e2afb61c1a26c88c", "interHash" : "6dadae5116e1657b546a50f35099f005", "label" : "INSTINCT: a flow-based open-source PNT framework for satellite navigation and sensor fusion", "user" : "topp", "description" : "", "date" : "2025-07-21 07:36:53", "changeDate" : "2025-07-21 07:36:53", "count" : 3, "pub-type": "article", "journal": "GPS Solutions", "year": "2025", "url": "https://link.springer.com/article/10.1007/s10291-025-01927-4", "author": [ "Thomas Topp","Marcel Maier","Thomas Hobiger","Doris Becker" ], "authors": [ {"first" : "Thomas", "last" : "Topp"}, {"first" : "Marcel", "last" : "Maier"}, {"first" : "Thomas", "last" : "Hobiger"}, {"first" : "Doris", "last" : "Becker"} ], "volume": "29","number": "171","pages": "10","abstract": "INS toolkit for integrated navigation concepts and training (INSTINCT) is an open-source positioning, navigation and timing (PNT) framework for global navigation satellite system (GNSS) navigation and sensor fusion written in C++. It uses flow-based programming to encapsulate functionality, enforce clean interfaces and promote reusability. Not only multi-constellation, multi-frequency single point positioning (SPP) and real-time kinematic positioning (RTK) algorithms are available, but also inertial navigation system (INS)/GNSS sensor fusion. Moreover, innovative concepts like multi inertial measurement unit (IMU) arrays and factor graph optimization are featured. Furthermore, most file formats common in the PNT field can be read with the software and converted between them. Also, simulation of trajectories and IMU data with different error models is possible. A graphical user interface allows the user to directly set parameters and analyze results in plots, which enables rapid prototyping and testing. A developer can easily extend the functionality with own algorithms and sensor interfaces building upon the existing modules. In order to evaluate the performance of the algorithms two experiments were performed. Analysis of a static dataset shows that the position accuracy of the RTK algorithm of INSTINCT is comparable to RTKLIB. Additionally, a dynamic dataset was generated using a Spirent GNSS simulator and INSTINCT\u2019s IMU simulation capabilities. In-depth assessment confirms the high accuracy of the results and demonstrates that the INS/GNSS loosely coupled Kalman filter can compensate for GNSS outages.", "language" : "en", "doi" : "https://doi.org/10.1007/s10291-025-01927-4", "bibtexKey": "topp2025instinct" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2955bf46a3d9fc4e3e2afb61c1a26c88c/ins", "tags" : [ "myown","flow-based","software","gnss","open-source","rtk","ins" ], "intraHash" : "955bf46a3d9fc4e3e2afb61c1a26c88c", "interHash" : "6dadae5116e1657b546a50f35099f005", "label" : "INSTINCT: a flow-based open-source PNT framework for satellite navigation and sensor fusion", "user" : "ins", "description" : "", "date" : "2025-07-21 07:36:53", "changeDate" : "2025-07-21 07:36:53", "count" : 3, "pub-type": "article", "journal": "GPS Solutions", "year": "2025", "url": "https://link.springer.com/article/10.1007/s10291-025-01927-4", "author": [ "Thomas Topp","Marcel Maier","Thomas Hobiger","Doris Becker" ], "authors": [ {"first" : "Thomas", "last" : "Topp"}, {"first" : "Marcel", "last" : "Maier"}, {"first" : "Thomas", "last" : "Hobiger"}, {"first" : "Doris", "last" : "Becker"} ], "volume": "29","number": "171","pages": "10","abstract": "INS toolkit for integrated navigation concepts and training (INSTINCT) is an open-source positioning, navigation and timing (PNT) framework for global navigation satellite system (GNSS) navigation and sensor fusion written in C++. It uses flow-based programming to encapsulate functionality, enforce clean interfaces and promote reusability. Not only multi-constellation, multi-frequency single point positioning (SPP) and real-time kinematic positioning (RTK) algorithms are available, but also inertial navigation system (INS)/GNSS sensor fusion. Moreover, innovative concepts like multi inertial measurement unit (IMU) arrays and factor graph optimization are featured. Furthermore, most file formats common in the PNT field can be read with the software and converted between them. Also, simulation of trajectories and IMU data with different error models is possible. A graphical user interface allows the user to directly set parameters and analyze results in plots, which enables rapid prototyping and testing. A developer can easily extend the functionality with own algorithms and sensor interfaces building upon the existing modules. In order to evaluate the performance of the algorithms two experiments were performed. Analysis of a static dataset shows that the position accuracy of the RTK algorithm of INSTINCT is comparable to RTKLIB. Additionally, a dynamic dataset was generated using a Spirent GNSS simulator and INSTINCT\u2019s IMU simulation capabilities. In-depth assessment confirms the high accuracy of the results and demonstrates that the INS/GNSS loosely coupled Kalman filter can compensate for GNSS outages.", "language" : "en", "doi" : "https://doi.org/10.1007/s10291-025-01927-4", "bibtexKey": "topp2025instinct" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/25a213c52e5cd9b845bae3bfd29404d98/kevinklein", "tags" : [ "Architecture","Automotive","CARISMA,","Meshes,","SOME/IP,","Service","Software","myown" ], "intraHash" : "5a213c52e5cd9b845bae3bfd29404d98", "interHash" : "15a415055ab812aee99c534594dc40df", "label" : "Bridging the Gap between CARISMA and SOME/IP-based Service Communication", "user" : "kevinklein", "description" : "", "date" : "2025-06-30 15:01:49", "changeDate" : "2025-06-30 15:12:16", "count" : 2, "pub-type": "incollection", "year": "2025", "url": "https://doi.org/10.1145/3701717.3734464", "author": [ "Kevin Klein","Pascal Hirmer","Alexander Walz","Steffen Becker" ], "authors": [ {"first" : "Kevin", "last" : "Klein"}, {"first" : "Pascal", "last" : "Hirmer"}, {"first" : "Alexander", "last" : "Walz"}, {"first" : "Steffen", "last" : "Becker"} ], "numpages" : "12", "doi" : "10.1145/3701717.3734464", "bibtexKey": "10.1145/3701717.3734464" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2d611360a57a82b35e881450dcfc781c1/ifsw", "tags" : [ "drilling","micromaterialprocessing","myown","peer","processmonitoring","productiontechnology","software" ], "intraHash" : "d611360a57a82b35e881450dcfc781c1", "interHash" : "39a4604926b1dfa4c8cd9e5ac733f212", "label" : "Bayesian optimization of single-pulse laser drilling using advanced image processing", "user" : "ifsw", "description" : "", "date" : "2025-06-20 15:19:36", "changeDate" : "2025-06-20 15:23:36", "count" : 2, "pub-type": "article", "journal": "tm-Technisches Messen","publisher":"De Gruyter", "year": "2025", "url": "https://doi.org/10.1515/teme-2025-0012", "author": [ "Manuel Klaiber","Mathias Hug","Lukas Schneller","Ömer Can","Andreas Jahn","Axel Fehrenbacher","Michael Haas","Peter Reimann","Andreas Michalowski" ], "authors": [ {"first" : "Manuel", "last" : "Klaiber"}, {"first" : "Mathias", "last" : "Hug"}, {"first" : "Lukas", "last" : "Schneller"}, {"first" : "Ömer", "last" : "Can"}, {"first" : "Andreas", "last" : "Jahn"}, {"first" : "Axel", "last" : "Fehrenbacher"}, {"first" : "Michael", "last" : "Haas"}, {"first" : "Peter", "last" : "Reimann"}, {"first" : "Andreas", "last" : "Michalowski"} ], "number": "0", "bibtexKey": "klaiber2025bayesian" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2d611360a57a82b35e881450dcfc781c1/amichalowski", "tags" : [ "drilling","micromaterialprocessing","myown","processmonitoring","productiontechnology","software" ], "intraHash" : "d611360a57a82b35e881450dcfc781c1", "interHash" : "39a4604926b1dfa4c8cd9e5ac733f212", "label" : "Bayesian optimization of single-pulse laser drilling using advanced image processing", "user" : "amichalowski", "description" : "", "date" : "2025-06-20 15:19:36", "changeDate" : "2025-06-20 15:19:36", "count" : 2, "pub-type": "article", "journal": "tm-Technisches Messen","publisher":"De Gruyter", "year": "2025", "url": "https://doi.org/10.1515/teme-2025-0012", "author": [ "Manuel Klaiber","Mathias Hug","Lukas Schneller","Ömer Can","Andreas Jahn","Axel Fehrenbacher","Michael Haas","Peter Reimann","Andreas Michalowski" ], "authors": [ {"first" : "Manuel", "last" : "Klaiber"}, {"first" : "Mathias", "last" : "Hug"}, {"first" : "Lukas", "last" : "Schneller"}, {"first" : "Ömer", "last" : "Can"}, {"first" : "Andreas", "last" : "Jahn"}, {"first" : "Axel", "last" : "Fehrenbacher"}, {"first" : "Michael", "last" : "Haas"}, {"first" : "Peter", "last" : "Reimann"}, {"first" : "Andreas", "last" : "Michalowski"} ], "number": "0", "bibtexKey": "klaiber2025bayesian" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2d7b73a1f90636564be9dadea7cd34c1c/droessler", "tags" : [ "access","bibliothek","erwerbung","hbz","las:er","laser","open","software","verträge","verwaltung" ], "intraHash" : "d7b73a1f90636564be9dadea7cd34c1c", "interHash" : "51157a702ae4d30e7c5b4e38306fcfcc", "label" : "Ein Community-basierter Ansatz: Wie LAS:eR aktuelle Anforderungen aufnimmt, Vernetzung fördert und neue Features etabliert", "user" : "droessler", "description" : "", "date" : "2025-05-07 21:45:10", "changeDate" : "2025-05-07 21:46:37", "count" : 1, "pub-type": "misc", "booktitle": "TK 4: Forschungsnahe Dienste und Open Science/ Transformation braucht Daten (05.06.2024, 09:00 - 10:30, Saal E / 2. 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"Castro"}, {"first" : "Stephan", "last" : "Ferenz"}, {"first" : "Hamideh", "last" : "Hajiabadi"}, {"first" : "Patrick", "last" : "Kuckertz"}, {"first" : "Matthias", "last" : "Löbe"}, {"first" : "Christian", "last" : "Schmidt"}, {"first" : "Alexander", "last" : "Struck"}, {"first" : "Florian", "last" : "Thiery"} ], "doi" : "10.5281/zenodo.12704414", "bibtexKey": "castro_2024_12704414" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/27bff896c6a6e0d35b12e92574be6cbcd/droessler", "tags" : [ "access","kostenmonitoring","magdeburg","open","potsdam","software","uni" ], "intraHash" : "7bff896c6a6e0d35b12e92574be6cbcd", "interHash" : "cf095775436f9478834880f60f113d81", "label" : "Publikations- und Kosten-Monitoring in einem Software-Tool: Werkstattbericht zu einem Projekt der Universitätsbibliotheken Magdeburg und Potsdam", "user" : "droessler", "description" : "", "date" : "2025-04-28 12:22:46", "changeDate" : "2025-04-28 12:22:46", "count" : 1, "pub-type": 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