204 citations
- Trier University of Applied SciencesDE9 papers
- German Research Centre for Artificial IntelligenceDE6 papers
- University of KaiserslauternDE6 papers
- Fraunhofer Institute for Industrial MathematicsDE5 papers
- KU LeuvenBE5 papers
- University of WürzburgDE5 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR4 papers
- Universidad Carlos III de MadridES4 papers
- Carl von Ossietzky Universität OldenburgDE3 papers
- Institute of Mathematical SciencesIN3 papers
- Sapienza University of RomeIT3 papers
- Universidad Autónoma de MadridES3 papers
7 papers · 1 filter
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1
Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…
Reinforcing Secure Live Migration through Verifiable State Management
Stefanos Vasileaidis, Thanassis Giannetsos, Matthias Schunter +1
Live migration of applications is a fundamental capability for enabling resilient computing in modern distributed systems. However, extending this functionality to trusted applicat…
Deep BSDE Solver on Bounded Domains Part I: General Loss Rate
Maximilian Würschmidt
We consider a ramification of the deep BSDE loss functional designed to apply for BSDEs on bounded domains, i.e. with random (unbounded) time horizons. We derive a general converge…
Enriched volatiles and refractories but deficient titanium on the dayside atmosphere of WASP-121b revealed by JWST/NIRISS
Stefan Pelletier, Louis-Philippe Coulombe, Jared Splinter +21
With dayside temperatures elevated enough for all atmospheric constituents to be present in gas form, ultra-hot Jupiters offer a unique opportunity to probe the composition of gian…
Redshift-space galaxy bispectrum in presence of massive neutrinos: A multipole expansion approach for Euclid
Sourav Pal, Debanjan Sarkar, Rickmoy Samanta +1
Massive neutrinos imprint distinctive signatures on the evolution of cosmic structures, notably suppressing small-scale clustering. We investigate the impact of massive neutrinos o…
A sharper Lyapunov-Katz central limit error bound for i.i.d. summands Zolotarev-close to normal
Lena Jonas, Lutz Mattner
We prove a central limit error bound for convolution powers of laws with finite moments of order , taking a closeness of the laws to normality into…