Zobrazeno 1 - 10
of 323
pro vyhledávání: '"Silva Eliezer"'
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:
da Silva, Tiago, Silva, Eliezer, Góis, António, Heider, Dominik, Kaski, Samuel, Mesquita, Diego, Ribeiro, Adèle
Structure learning is the crux of causal inference. Notably, causal discovery (CD) algorithms are brittle when data is scarce, possibly inferring imprecise causal relations that contradict expert knowledge -- especially when considering latent confou
Externí odkaz:
http://arxiv.org/abs/2309.12032
Publikováno v:
Acta Cirúrgica Brasileira, Vol 17, Iss 4, Pp 211-219 (2002)
Substantial clinical and animal evidences indicate that the mesenteric circulatory bed, particularly the gut mucosa, is highly vulnerable to reductions in oxygen supply and prone to early injury in the course of hemodynamic changes induced by trauma,
Externí odkaz:
https://doaj.org/article/39a2af14e72f43249cc3b25d157abd16
Akademický článek
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Publikováno v:
Journal of Machine Learning Research 24 (2023) 1-51
The behavior of many Bayesian models used in machine learning critically depends on the choice of prior distributions, controlled by some hyperparameters that are typically selected by Bayesian optimization or cross-validation. This requires repeated
Externí odkaz:
http://arxiv.org/abs/1910.12263
One of the major challenges in training deep architectures for predictive tasks is the scarcity and cost of labeled training data. Active Learning (AL) is one way of addressing this challenge. In stream-based AL, observations are continuously made av
Externí odkaz:
http://arxiv.org/abs/1909.01757
In recent years session-based recommendation has emerged as an increasingly applicable type of recommendation. As sessions consist of sequences of events, this type of recommendation is a natural fit for Recurrent Neural Networks (RNNs). Several addi
Externí odkaz:
http://arxiv.org/abs/1812.01276
Autor:
da Silva, Gustavo Mataruna, de Figueiredo, Camila Saggioro, da Rocha Oliveira, Amanda Cândida, Raony, Ícaro, de Araújo Miranda, Raphael Amorim, de Mello Silva, Eliezer, Guilarducci, Carla Valéria Vieira, dos Santos, Aline Araujo, Giestal-de-Araujo, Elizabeth
Publikováno v:
In Molecular and Cellular Neuroscience December 2022 123
Autor:
Gondim, Magda S.S., Silva, Eliezer C., dos Santos, Ananias L., de Assis, Marcelo, Mercury, José M.R., Leite, Edson R., Nogueira, Içamira C.
Publikováno v:
In Ceramics International 1 July 2021 47(13):19073-19078