Zobrazeno 1 - 10
of 90 001
pro vyhledávání: '"Dantas AT"'
Autor:
Felix, Isaac de Macêdo, Tromer, Raphael Matozo, Machado, Leonardo Dantas, Galvão, Douglas Soares, Ribeiro Jr, Luiz Antônio, Pereira Jr, Marcelo Lopes
The thermal conductivity of two-dimensional (2D) materials is critical in determining their suitability for several applications, from electronics to thermal management. In this study, we have used Molecular Dynamics (MD) simulations to investigate t
Externí odkaz:
http://arxiv.org/abs/2409.10355
We obtain an infinite-dimensional cone of singular twisted Hilbert spaces $Z(\varphi)$ which are isomorphic to their duals but not to their conjugate duals. We do that by showing that the subset of all bi-Lipschitz maps from $[0, \infty)$ to $\mathbb
Externí odkaz:
http://arxiv.org/abs/2408.07827
Autor:
Ienco, Dino, Dantas, Cassio Fraga
Publikováno v:
British Machine Vision Conference, Nov 2024, Glasgow, United Kingdom
Cross-modal knowledge distillation (CMKD) refers to the scenario in which a learning framework must handle training and test data that exhibit a modality mismatch, more precisely, training and test data do not cover the same set of data modalities. T
Externí odkaz:
http://arxiv.org/abs/2408.07080
Computer vision methods that explicitly detect object parts and reason on them are a step towards inherently interpretable models. Existing approaches that perform part discovery driven by a fine-grained classification task make very restrictive assu
Externí odkaz:
http://arxiv.org/abs/2407.04538
The Kitaev honeycomb model provides a paradigmatic example of an exactly solvable quantum spin liquid (QSL), in which the spin degrees of freedom fractionalize into itinerant Majorana fermions coupled to a static background of $\mathbb{Z}_{2}$ gauge
Externí odkaz:
http://arxiv.org/abs/2406.19140
Publikováno v:
ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania
Semi-supervised domain adaptation methods leverage information from a source labelled domain with the goal of generalizing over a scarcely labelled target domain. While this setting already poses challenges due to potential distribution shifts betwee
Externí odkaz:
http://arxiv.org/abs/2406.14087
In this paper we prove that a free nilpotent group of finite rank is transitive self-similar. In contrast, we prove that a free metabelian group of rank $r \geq 2$ is not transitive self-similar.
Externí odkaz:
http://arxiv.org/abs/2406.10665
In this paper, we present some sufficient conditions on a metric space $M$ for which every molecule is a strongly subdifferentiable (SSD, for short) point in the Lipschitz-free space $\mathcal{F}(M)$ over $M$. Our main result reads as follows: if $(M
Externí odkaz:
http://arxiv.org/abs/2406.01269
A finitely generated group is said to be an automata group if it admits a faithful self-similar finite-state representation on some regular $m$-tree. We prove that if $G$ is a subgroup of an automata group, then for each finitely generated abelian gr
Externí odkaz:
http://arxiv.org/abs/2405.16678
We investigate the failure of the Stone-Weierstrass theorem focusing on the existence of large dimensional vector spaces within the set $\mathcal{C}(L, \mathbb{K}) \setminus \overline{\mathcal{A}}$, where $L$ is a compact Hausdorff space and $\mathca
Externí odkaz:
http://arxiv.org/abs/2405.06453