Tootfinder

Unions-Vize Röttgen: "Das war ein Test"
Nach dem Eindringen russischer Kampfdrohnen in den polnischen Luftraum geht Unions-Vize-Fraktionschef Norbert Röttgen nicht von einem Zufall aus. Im ARD Morgenmagazin sagte er: "Das war Absicht. Das war ein Test. Funktioniert die NATO? Funktionieren ihre Einrichtungen?" Die NATO habe operativ und politisch funktioniert, sagte Röttgen. Den Vorfall deute er aber…
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"Es ist ein Test auf den Zusammenhalt der NATO", Norbert Röttgen, CDU, stellv. Vors. CDU/CSU-Fraktion, zu Drohnen in Polen
"Es ist ein Test auf den Zusammenhalt der NATO", Norbert Röttgen, CDU, stellv. Vors. CDU/CSU-Fraktion, zu Drohnen in Polen

Decidability in First-Order Modal Logic with Non-Rigid Constants and Definite Descriptions
Alessandro Artale, Christopher Hampson, Roman Kontchakov, Andrea Mazzullo, Frank Wolter
https://arxiv.org/abs/2509.08165

Decidability in First-Order Modal Logic with Non-Rigid Constants and Definite Descriptions
While modal extensions of decidable fragments of first-order logic are usually undecidable, their monodic counterparts, in which formulas in the scope of modal operators have at most one free variable, are typically decidable. This only holds, however, under the provision that non-rigid constants, definite descriptions and non-trivial counting are not admitted. Indeed, several monodic fragments having at least one of these features are known to be undecidable. We investigate these features syst…

IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
Shusen Ma, Tianhao Zhang, Qijiu Xia, Yun-Bo Zhao
https://arxiv.org/abs/2509.07725

IBN: An Interpretable Bidirectional-Modeling Network for Multivariate Time Series Forecasting with Variable Missing
Multivariate time series forecasting (MTSF) often faces challenges from missing variables, which hinder conventional spatial-temporal graph neural networks in modeling inter-variable correlations. While GinAR addresses variable missing using attention-based imputation and adaptive graph learning for the first time, it lacks interpretability and fails to capture more latent temporal patterns due to its simple recursive units (RUs). To overcome these limitations, we propose the Interpretable Bidi…

Die Gelben Birnchen wachsen dieses Jahr wieder vorbildlich. Nur das Frucht-Blatt-Ratio könnte besser sein. 😒
Gibt es so eine ähnliche Sorte mit größeren Birnchen, aber sonst alles gleich? 🤔
Mehr zu #Balkongartnern

Design and analysis of a set of discrete variable protocols for secure quantum communication
Arindam Dutta
https://arxiv.org/abs/2508.06380 https://arxiv.o…

Design and analysis of a set of discrete variable protocols for secure quantum communication
The advent of quantum key distribution (QKD) has revolutionized secure communication by providing unconditional security, unlike classical cryptographic methods. However, its effectiveness relies on robust identity authentication, as vulnerabilities in the authentication process can cause a compromise with the security of the entire communication system. Over the past three decades, numerous quantum identity authentication (QIA) protocols have been proposed. This thesis first presents a chronol…

Conditional splitting probabilities for hidden-state inference in drift-diffusive processes
Emir Sezik, Jacob Knight, Henry Alston, Connor Roberts, Thibault Bertrand, Gunnar Pruessner, Luca Cocconi
https://arxiv.org/abs/2508.07386

Conditional splitting probabilities for hidden-state inference in drift-diffusive processes
Splitting probabilities quantify the likelihood of particular outcomes out of a set of mutually-exclusive possibilities for stochastic processes and play a central role in first-passage problems. For two-dimensional Markov processes $\{X(t),Y(t)\}_{t\in T}$, a joint analogue of the splitting probabilities can be defined, which captures the likelihood that the variable $X(t)$, having been initialised at $x_0 \in \mathbb{L}$, exits $\mathbb{L}$ for the first time via either of the interval bounda…

A Contextual Bandits Approach for Personalization of Hand Gesture Recognition
Duke Lin, Michael Paskett, Ying Yang
https://arxiv.org/abs/2509.08915 https://

A Contextual Bandits Approach for Personalization of Hand Gesture Recognition
In human-computer interaction applications like hand gesture recognition, supervised learning models are often trained on a large population of users to achieve high task accuracy. However, due to individual variability in sensor signals and user behavior, static models may not provide optimal performance for all users. Personalizing pretrained models via calibration--collecting labeled data from each user--can improve performance but introduces user friction and struggles with limited data. To…

A set of master variables for the two-star random graph
Pawat Akara-pipattana, Oleg Evnin
https://arxiv.org/abs/2509.07423 https://arxiv.org/pdf/2509.07423…

A set of master variables for the two-star random graph
The two-star random graph is the simplest exponential random graph model with nontrivial interactions between the graph edges. We propose a set of auxiliary variables that control the thermodynamic limit where the number of vertices N tends to infinity. Such 'master variables' are usually highly desirable in treatments of 'large N' statistical field theory problems. For the dense regime when a finite fraction of all possible edges are filled, this construction recovers the mean field solution o…

Gaussian Copula-Based Outage Performance Analysis of Fluid Antenna Systems: Channel Coefficient- or Envelope-Level Correlation Matrix?
Rui Xu, Yinghui Ye, Xiaoli Chu, Guangyue Lu, Farshad Rostami Ghadi, Kai-Kit Wong
https://arxiv.org/abs/2509.09411

Gaussian Copula-Based Outage Performance Analysis of Fluid Antenna Systems: Channel Coefficient- or Envelope-Level Correlation Matrix?
Gaussian copula has been employed to evaluate the outage performance of Fluid Antenna Systems (FAS), with the covariance matrix reflecting the dependence among multivariate normal random variables (RVs). While prior studies approximate this matrix using the channel coefficient correlation matrix from Jake's model, this work instead employs the channel envelope correlation matrix, motivated by the fact that the multivariate normal RVs are generated by transforming correlated channel envelopes. T…