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pro vyhledávání: '"Mesquita AT"'
This paper investigates a new class of equations called measure functional differential equations with state-dependent delays. We establish the existence and uniqueness of solutions and present a discussion concerning the appropriate phase space to d
Externí odkaz:
http://arxiv.org/abs/2412.20362
Autor:
Torres, Arthur Elwing, de Moura, Edleno Silva, da Silva, Altigran Soares, Nascimento, Mario A., Mesquita, Filipe
Named Entity Recognition (NER) is a machine learning task that traditionally relies on supervised learning and annotated data. Acquiring such data is often a challenge, particularly in specialized fields like medical, legal, and financial sectors. Th
Externí odkaz:
http://arxiv.org/abs/2411.14551
Bayes' rule naturally allows for inference refinement in a streaming fashion, without the need to recompute posteriors from scratch whenever new data arrives. In principle, Bayesian streaming is straightforward: we update our prior with the available
Externí odkaz:
http://arxiv.org/abs/2411.05899
Autor:
Lopes, Rovan F., Tumelero, Milton A., de Araujo, Clodoaldo I. L., de Andrade, Antonio M. H., Mesquita, Fabiano, Carmo, Danusa, Colauto, F., Ortiz, W. A., Pureur, P.
The magnetic textures generated by a perpendicularly applied magnetic field at the ferromagnetic layer of $Co/Al_{2}O_{3}/Nb$ thin film heterostructures are investigated using magneto-optical imaging and micromagnetic simulations. It is observed that
Externí odkaz:
http://arxiv.org/abs/2410.18028
Generative Flow Networks (GFlowNets) are amortized inference models designed to sample from unnormalized distributions over composable objects, with applications in generative modeling for tasks in fields such as causal discovery, NLP, and drug disco
Externí odkaz:
http://arxiv.org/abs/2410.09355
Autor:
Mesquita-Piccione, Pietro
In this paper we develop an analogue of the Berkovich analytification for non-necessarily algebraic complex spaces. We apply this theory to generalize to arbitrary compact K\"ahler manifolds a result of Chi Li, proving that a stronger version of K-st
Externí odkaz:
http://arxiv.org/abs/2409.06221
GFlowNets are a promising alternative to MCMC sampling for discrete compositional random variables. Training GFlowNets requires repeated evaluations of the unnormalized target distribution or reward function. However, for large-scale posterior sampli
Externí odkaz:
http://arxiv.org/abs/2406.03288
Autor:
Junior, Carlos Alberto Durigan, Spinola, Mauro De Mesquita, Gonçalves, Rodrigo Franco, Laurindo, Fernando José Barbin
Central Bank Digital Currency (CBDC) can be defined as a virtual currency based on node network and digital encryption algorithm issued by a country which has a legal credit protection. CBDCs are supported by Distributed Ledger Technologies (DLTs), a
Externí odkaz:
http://arxiv.org/abs/2407.07898
Autor:
Benatto, Leandro, Mesquita, Omar, Roman, Kaike R. M. Pachecoand Lucimara S., Koehler, Marlus, Capaz, Rodrigo B., Candiotto, Graziâni
The Transfer Matrix Method (TMM) has become a prominent tool for the optical simulation of thin$-$film solar cells, particularly among researchers specializing in organic semiconductors and perovskite materials. As the commercial viability of these s
Externí odkaz:
http://arxiv.org/abs/2404.12191
Autor:
Garcia, Cristiano Mesquita, Koerich, Alessandro Lameiras, Britto Jr, Alceu de Souza, Barddal, Jean Paul
The proliferation of textual data on the Internet presents a unique opportunity for institutions and companies to monitor public opinion about their services and products. Given the rapid generation of such data, the text stream mining setting, which
Externí odkaz:
http://arxiv.org/abs/2403.15455