Zobrazeno 1 - 10
of 59 482
pro vyhledávání: '"P Guilherme"'
Autor:
Cheigh, Justin, Moura, Guilherme Zeus Dantas e, Duke, Jacob Lehmann, Mauro, Annika, McDonald, Zoe, Mello, Anna, Miller, Kayla, Miller, Steven J., Iannuzzelli, Santiago Velazquez
The purpose of this short note is to show the interplay between math outreach and conducting original research, in particular how each can build off the other.
Comment: 9 pages, 5 figures
Comment: 9 pages, 5 figures
Externí odkaz:
http://arxiv.org/abs/2412.09750
Automated benthic image annotation is crucial to efficiently monitor and protect coral reefs against climate change. Current machine learning approaches fail to capture the hierarchical nature of benthic organisms covering reef substrata, i.e., coral
Externí odkaz:
http://arxiv.org/abs/2412.08228
Graphyne is a porous two-dimensional carbon allotrope of graphene that possesses interesting physical properties, including non-null bandgap. It is composed of carbon hexagonal rings or carbon-carbon bonds connected by acetylenic chains. The diverse
Externí odkaz:
http://arxiv.org/abs/2412.05705
The mapping of ocean floor layers is a current challenge for the oil industry. Existing solution methods involve mapping through seismic methods and wave inversion, which are complex and computationally expensive. The introduction of artificial neura
Externí odkaz:
http://arxiv.org/abs/2412.05329
The observation of the medium response generated by the propagation of high energy partons in the quark gluon plasma produced in heavy-ion collisions would provide a clear and unmistakable evidence for the hydrodynamic behavior of the bulk. Recently,
Externí odkaz:
http://arxiv.org/abs/2412.03616
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