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GUM-compliant neural network robustness verification - a Masters thesis
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ludwig10_masters_thesis
GUM-compliant neural network robustness verification - a Masters thesis
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9a41037f1e8d48a2ba8f5d2bac1339a17b0fd619
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Created with Raphaël 2.2.0
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ci(GitLab): remove results from pipeline
main
main
feat(report): introduce mail addresses into report
refactor(README): adapt README to current structure
refactor(presentation): rename slides to thesis_presentation
refactor(results): remove internship results
feat(presentation bib): finalize thesis presentation bib
feat(presentation): finalize thesis presentation
feat(presentation): introduce images
fix(thesis): introduce missing brackets
fix(thesis): correct one tilde symbol in proof of the fundamental "same label" equivalences
feat(report): introduce images
feat(report): introduce appendix and reference to it as well as mention the CIM
refactor(thesis): fix thesis listings' coloring
refactor(report): add paragraph about results
refactor(report): fix some minor issues contentwise
refactor(report): fix overful hboxes in bib
refactor(report): remove unneeded bib entries
refactor(report): introduce more own content
feat(report): introduce Leitbild
refactor(report): shorten one paragraph to avoid overfull hbox
feat(report bib): introduce everything potentially needed in report
feat(report): finalize section about research goals
feat(report): introduce first content
refactor(report): restyle document
refactor(report): introduce siunitx
refactor(report): correct language
refactor(report): correct margins
refactor(report): correct font size
feat(report bib): introduce several refs
feat(thesis): introduce plots
refactor(thesis): finalize the document
refactor(thesis): correct wrong statements about possible issue correction
feat(thesis): introduce conclusions
feat(thesis): finalize robustness verification simulation section
feat(thesis): introduce robustness verification runtimes
refactor(thesis): correct proof of issue
refactor(thesis): evaluate uncertainty propagation runtimes
feat(thesis): introduce FAIR4RS table
feat(thesis): introduce uncertainty propagation runtimes
refactor(thesis bib): introduce last missing references and correct given and lastname ordering
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