Zobrazeno 1 - 10
of 4 467
pro vyhledávání: '"FÁVERO, A. P."'
In recent years, there has been a significant surge of interest in Mars exploration, driven by the planet's potential for human settlement and its proximity to Earth. In this paper, we explore the performance of the LoRaWAN technology on Mars, to stu
Externí odkaz:
http://arxiv.org/abs/2412.19549
Autor:
Favero, David, Layeghi, Pouya
We give a topological description of Ext groups between simple representations of categories via a nerve type construction. We use it to show that the Koszulity of indiscretely based category algebras is equivalent to the locally Cohen-Macaulay prope
Externí odkaz:
http://arxiv.org/abs/2412.18206
Autor:
Favero, Martina, Koskela, Jere
The coalescent is a foundational model of latent genealogical trees under neutral evolution, but suffers from intractable sampling probabilities. Methods for approximating these sampling probabilities either introduce bias or fail to scale to large s
Externí odkaz:
http://arxiv.org/abs/2412.06004
Autor:
Favero, David, Sapronov, Mykola
We consider a finite collection of line bundles $\Phi$ introduced by Bondal on a smooth, projective toric variety $X$. For any coherent sheaf $F$ on $X$, we construct minimal resolutions of $F$ by line bundles in $\Phi$, up to twist, with length boun
Externí odkaz:
http://arxiv.org/abs/2411.17873
Autor:
Favero, Aline, Bernardo, Heliudson
Two formulations of superfluidity are reviewed: Landau's phenomenological two-fluid model and a relativistic effective field theory description. We demonstrate how the two-fluid formalism can be recovered from the nonrelativistic limit of the relativ
Externí odkaz:
http://arxiv.org/abs/2410.18214
Autor:
Wang, Ke, Dimitriadis, Nikolaos, Favero, Alessandro, Ortiz-Jimenez, Guillermo, Fleuret, Francois, Frossard, Pascal
Large pre-trained models exhibit impressive zero-shot performance across diverse tasks, but fine-tuning often leads to catastrophic forgetting, where improvements on a target domain degrade generalization on other tasks. To address this challenge, we
Externí odkaz:
http://arxiv.org/abs/2410.17146
High-dimensional data must be highly structured to be learnable. Although the compositional and hierarchical nature of data is often put forward to explain learnability, quantitative measurements establishing these properties are scarce. Likewise, ac
Externí odkaz:
http://arxiv.org/abs/2410.13770
We present an optomechanical method for locally measuring the rheological properties of complex fluids in the ultra-high frequency range (UHF). A mechanical disk of microscale volume is used as a small-amplitude oscillating probe that monitors the fl
Externí odkaz:
http://arxiv.org/abs/2410.13467
The Fr\'echet Video Distance (FVD) is a widely adopted metric for evaluating video generation distribution quality. However, its effectiveness relies on critical assumptions. Our analysis reveals three significant limitations: (1) the non-Gaussianity
Externí odkaz:
http://arxiv.org/abs/2410.05203
While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking remains understudied. In this paper, we fill such a gap and present a
Externí odkaz:
http://arxiv.org/abs/2409.05511