Zobrazeno 1 - 10
of 214 736
pro vyhledávání: '"A, Guilherme"'
Autor:
Cabezas, Luben M. C., Soares, Guilherme P., Ramos, Thiago R., Stern, Rafael B., Izbicki, Rafael
Constructing valid confidence sets is a crucial task in statistical inference, yet traditional methods often face challenges when dealing with complex models or limited observed sample sizes. These challenges are frequently encountered in modern appl
Externí odkaz:
http://arxiv.org/abs/2411.19368
Autor:
Claeys, Tom, Silva, Guilherme L. F.
We consider a large class of deformations of continuous and discrete biorthogonal ensembles and investigate their behavior in the limit of a large number of particles. We provide sufficient conditions to ensure that if a biorthogonal ensemble converg
Externí odkaz:
http://arxiv.org/abs/2411.15830
Autor:
Chevallier, Julien, Ost, Guilherme
Let $N$ components be partitioned into two communities, denoted ${\cal P}_+$ and ${\cal P}_-$, possibly of different sizes. Assume that they are connected via a directed and weighted Erd\"os-R\'enyi random graph (DWER) with unknown parameter $ p \in
Externí odkaz:
http://arxiv.org/abs/2411.15627
The celebrated canonical Ramsey theorem of Erd\H{o}s and Rado implies that for $2\leq k\in \mathbb{N}$, any colouring of the edges of $K_n$ with $n$ sufficiently large gives a copy of $C_{2k}$ which has one of three canonical colour patterns: monochr
Externí odkaz:
http://arxiv.org/abs/2411.14566
Autor:
Fini, Enrico, Shukor, Mustafa, Li, Xiujun, Dufter, Philipp, Klein, Michal, Haldimann, David, Aitharaju, Sai, da Costa, Victor Guilherme Turrisi, Béthune, Louis, Gan, Zhe, Toshev, Alexander T, Eichner, Marcin, Nabi, Moin, Yang, Yinfei, Susskind, Joshua M., El-Nouby, Alaaeldin
We introduce a novel method for pre-training of large-scale vision encoders. Building on recent advancements in autoregressive pre-training of vision models, we extend this framework to a multimodal setting, i.e., images and text. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2411.14402
Autor:
Monteiro, Mariana O., Bernardes, Nadja K., Broni, Eugene M., de Moura, Francisco A. B. F., Almeida, Guilherme M. A.
Manipulating the dynamics of open quantum systems is a crucial requirement for large-scale quantum computers. Finding ways to overcome or extend decoherence times is a challenging task. Already at the level of a single two-level atom, its reduced dyn
Externí odkaz:
http://arxiv.org/abs/2411.14304
The usual approach on electrostatic wave decay process for a weak beam-plasma system considers two different wave modes interplaying, the Langmuir and ion-sound mode. In the present paper, a single mode approach is shown to be feasible for conditions
Externí odkaz:
http://arxiv.org/abs/2411.12883
Autor:
Limberg, Guilherme
The discovery of fast moving stars in the Milky Way's most massive globular cluster, $\omega$Centauri ($\omega$Cen), has provided strong evidence for an intermediate-mass black hole (IMBH) inside of it. However, $\omega$Cen is known to be the strippe
Externí odkaz:
http://arxiv.org/abs/2411.11251
Autor:
Yi, Xiaoling, Antonio, Ryan, Dumoulin, Joren, Sun, Jiacong, Van Delm, Josse, Paim, Guilherme, Verhelst, Marian
Deep neural networks (DNNs) face significant challenges when deployed on resource-constrained extreme edge devices due to their computational and data-intensive nature. While standalone accelerators tailored for specific application scenarios suffer
Externí odkaz:
http://arxiv.org/abs/2411.09543
We analyze the sensitivity of non-radial fluid oscillation modes and tidal deformations in neutron stars to high-order nuclear empirical parameters (NEP). In particular, we study the impact of the curvature and skewness of the symmetry energy $K_{\rm
Externí odkaz:
http://arxiv.org/abs/2411.09322