Zobrazeno 1 - 10
of 2 993
pro vyhledávání: '"Loewe, P."'
This article presents GRFsaw, an open-source software for generating two-phase (binary) microstructures with user-defined structural properties. Unlike most standard software for microstructure generation, GRFsaw is based on the concept of thresholdi
Externí odkaz:
http://arxiv.org/abs/2412.05168
We explore the meromorphic structure of the $\zeta$-function associated to the boundary eigenvalue problem of a modified Sturm-Liouville operator subject to spectral dependent boundary conditions at one end of a segment of length $l$. We find that it
Externí odkaz:
http://arxiv.org/abs/2410.20437
In the frame of the linear sigma model and working in the weak field approximation, we discuss the role played by an external electric field on the behavior of $\pi$-$\pi$ scattering lengths. For this purpose, we have considered all relevant one-loop
Externí odkaz:
http://arxiv.org/abs/2410.19918
It has long been known in both neuroscience and AI that ``binding'' between neurons leads to a form of competitive learning where representations are compressed in order to represent more abstract concepts in deeper layers of the network. More recent
Externí odkaz:
http://arxiv.org/abs/2410.13821
We compare a mean-field Gibbs distribution on a finite state space on $N$ spins to that of an explicit simple mixture of product measures. This illustrates the situation beyond the so-called increasing propagation of chaos introduced by Ben Arous and
Externí odkaz:
http://arxiv.org/abs/2410.08004
Autor:
Lafargue, Raphael, Smith, Luke, Vermet, Franck, Löwe, Mathias, Reid, Ian, Gripon, Vincent, Valmadre, Jack
The predominant method for computing confidence intervals (CI) in few-shot learning (FSL) is based on sampling the tasks with replacement, i.e.\ allowing the same samples to appear in multiple tasks. This makes the CI misleading in that it takes into
Externí odkaz:
http://arxiv.org/abs/2409.02850
Autor:
Beer, Robin, Feix, Alexander, Guttzeit, Tim, Muras, Tamara, Müller, Vincent, Rauscher, Maurice, Schäffler, Florian, Löwe, Welf
Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and quality of t
Externí odkaz:
http://arxiv.org/abs/2408.16601
Autor:
Espinosa, C. Barrios, Sánchez, J., Appel, S., Becker, S., Krauß, J., Díaz, P. Martínez, Unger, L., Houillon, Marie, Loewe, Axel
Background: Computer models for simulating cardiac electrophysiology are valuable tools for research and clinical applications. Traditional reaction-diffusion (RD) models used for these purposes are computationally expensive. While eikonal models off
Externí odkaz:
http://arxiv.org/abs/2406.18619
In this article we analyze the role of an external electric field, in the weak field approximation, on $\pi$-$\pi$ scattering lengths. The discussion is presented in the frame of the linear sigma model. To achieve this, we take into account all one-l
Externí odkaz:
http://arxiv.org/abs/2404.01927
Autor:
Chiang, Michael, Hopkins, Austin, Loewe, Benjamin, Marenduzzo, Davide, Marchetti, M. Cristina
Multiphase field models have emerged as an important computational tool for understanding biological tissue while resolving single-cell properties. While they have successfully reproduced many experimentally observed behaviors of living tissue, the t
Externí odkaz:
http://arxiv.org/abs/2403.10715