Blog
Der Cauchy–Szegö Projection for domains in $\mathbb C^n$ with minimal smoothness: gewichtete Theorie
Let $D\subset\mathbb C^n$ be a bounded, strongly pseudoconvex domain whose boundary $bD$ satisfies the minimal regularity condition of class $C^2$. A 2017 result of Lanzani \& Stein gibt an, dass der Cauchy–Szeg\”{O} projection $S_\omega$ defined with respect to a bounded, positive continuous multiple...
TarDiff: Zielorientierte Diffusionsführung für synthetische Elektronik Generierung von Zeitreihen für Gesundheitsakten
Synthetische elektronische Gesundheitsakte (EHR) time-series generation is crucial for advancing clinical machine learning models, as it helps address data scarcity by providing more training data. Jedoch, most existing approaches focus primarily on replicating statistical distributions and temporal dependencies of real-world data....
Bolzen: Bekleidung virtueller Charaktere im Maßstab
Das Einkleiden virtueller Charaktere ist ein zeitaufwändiger und oft manueller Prozess. Outfits können aus mehreren Kleidungsstücken bestehen, and each garment must be fitted to the unique shape of a character. Since characters can vary widely in size and shape, fitting outfits to...
Linearzeitliche Mehrebenen-Graphpartitionierung mittels Kantensparsifizierung
The current landscape of balanced graph partitioning is divided into high-quality but expensive multilevel algorithms and cheaper approaches with linear running time, wie Single-Level-Algorithmen und Streaming-Algorithmen. We demonstrate how to achieve the best of both worlds with a \emph{linear...
Eindimensionales $q$-Zustandsmodifiziertes Potts-Modell und seine Thermodynamik Funktionen
Seit seiner Einführung, the Potts model has gained widespread popularity across various fields due to its diverse applications. Even minor advancements in this model continue to captivate scientists worldwide, and small modifications often intrigue researchers from different disciplines. This paper investigates a...
Disaggregiertes Deep Learning durch In-Physics Computing bei Radiofrequenz
Moderne Edge-Geräte, wie Kameras, Drohnen, und Internet-of-Things-Knoten, Setzen Sie auf Deep Learning, um eine breite Palette intelligenter Anwendungen zu ermöglichen, inklusive Objekterkennung, Umgebungswahrnehmung, and autonomous navigation. Jedoch, deploying deep learning models directly on the often resource-constrained edge devices...
Über kanonische Differentialgleichungen für Calabi-Yau-Mehrskalen-Feynman Integrale
Wir verallgemeinern eine kürzlich in der Literatur eingeführte Methode, that derives canonical differential equations, to multi-scale Feynman integrals with an underlying Calabi-Yau geometry. We start by recomputing a canonical form for the sunrise integral with all unequal masses. Zusätzlich, we compute for...
Zum Grad der Automatisierbarkeit von Quadratsummenbeweisen
Die Summe der Quadrate (SOS) Hierarchie, auch als Lasserre-Hierarchie bekannt, has emerged as a promising tool in optimization. Jedoch, it remains unclear whether fixed-degree SoS proofs can be automated [O'Donnell (2017)]. In der Tat, there are examples of polynomial systems with bounded coefficients that admit...
Erste Studie zur Neutrino-Winkelrekonstruktion mittels quasielastischer Methode Interaktionen in MicroBooNE
We investigate the expected precision of the reconstructed neutrino direction using a {\nu}{\In}-argon quasielastic-like event topology with one muon and one proton in the final state and the reconstruction capabilities of the MicroBooNE liquid argon time projection chamber. This direction is of...
Bringing light into the Landau-Lifshitz-Gilbert equation: Consequences of its fractal non-Markovian memory kernel for optically induced magnetic inertia and magnons
The Landau-Lisfhitz-Gilbert (LLG) equation has been the cornerstone of modeling the dynamics of localized spins, viewed as classical vectors of fixed length, within nonequilibrium magnets. When light is employed as the nonequilibrium drive, the LLG equation must be supplemented with additional terms...