Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Franca, Felipe"'
Autor:
Nag, Shashank, Bacellar, Alan T. L., Susskind, Zachary, Jha, Anshul, Liberty, Logan, Sivakumar, Aishwarya, John, Eugene B., Kailas, Krishnan, Lima, Priscila M. V., Yadwadkar, Neeraja J., Franca, Felipe M. G., John, Lizy K.
Transformers are set to become ubiquitous with applications ranging from chatbots and educational assistants to visual recognition and remote sensing. However, their increasing computational and memory demands is resulting in growing energy consumpti
Externí odkaz:
http://arxiv.org/abs/2411.01818
Autor:
Bacellar, Alan T. L., Susskind, Zachary, Breternitz Jr., Mauricio, John, Eugene, John, Lizy K., Lima, Priscila M. V., França, Felipe M. G.
Publikováno v:
International Conference on Machine Learning (ICML) 2024
We introduce the Differentiable Weightless Neural Network (DWN), a model based on interconnected lookup tables. Training of DWNs is enabled by a novel Extended Finite Difference technique for approximate differentiation of binary values. We propose L
Externí odkaz:
http://arxiv.org/abs/2410.11112
Climate change and global warming have been trending topics worldwide since the Eco-92 conference. However, little progress has been made in reducing greenhouse gases (GHGs). The problems and challenges related to emissions are complex and require a
Externí odkaz:
http://arxiv.org/abs/2401.00857
Autor:
Susskind, Zachary, Arora, Aman, Miranda, Igor D. S., Bacellar, Alan T. L., Villon, Luis A. Q., Katopodis, Rafael F., de Araujo, Leandro S., Dutra, Diego L. C., Lima, Priscila M. V., Franca, Felipe M. G., Breternitz Jr., Mauricio, John, Lizy K.
The deployment of AI models on low-power, real-time edge devices requires accelerators for which energy, latency, and area are all first-order concerns. There are many approaches to enabling deep neural networks (DNNs) in this domain, including pruni
Externí odkaz:
http://arxiv.org/abs/2304.10618
Autor:
Susskind, Zachary, Arora, Aman, Miranda, Igor Dantas Dos Santos, Villon, Luis Armando Quintanilla, Katopodis, Rafael Fontella, de Araujo, Leandro Santiago, Dutra, Diego Leonel Cadette, Lima, Priscila Machado Vieira, Franca, Felipe Maia Galvao, Breternitz Jr., Mauricio, John, Lizy K.
Weightless Neural Networks (WNNs) are a class of machine learning model which use table lookups to perform inference. This is in contrast with Deep Neural Networks (DNNs), which use multiply-accumulate operations. State-of-the-art WNN architectures h
Externí odkaz:
http://arxiv.org/abs/2203.01479
Autor:
Mutz, Filipe, Oliveira-Santos, Thiago, Forechi, Avelino, Komati, Karin S., Badue, Claudine, França, Felipe M. G., De Souza, Alberto F.
The localization of self-driving cars is needed for several tasks such as keeping maps updated, tracking objects, and planning. Localization algorithms often take advantage of maps for estimating the car pose. Since maintaining and using several maps
Externí odkaz:
http://arxiv.org/abs/2009.09308
Autor:
Filho, Aluizio S. Lima, Guarisa, Gabriel P., Filho, Leopoldo A. D. Lusquino, Oliveira, Luiz F. R., Franca, Felipe M. G., Lima, Priscila M. V.
In order to facilitate the production of codes using WiSARD-based models, LabZero developed an ML library C++/Python called wisardpkg. This library is an MIT-licensed open-source package hosted on GitHub under the license.
Comment: 9 pages, 2 fi
Comment: 9 pages, 2 fi
Externí odkaz:
http://arxiv.org/abs/2005.00887
Akademický článek
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Autor:
Villon, Luis A.Q., Susskind, Zachary, Bacellar, Alan T.L., Miranda, Igor D.S., de Araújo, Leandro S., Lima, Priscila M.V., Breternitz, Mauricio, Jr., John, Lizy K., França, Felipe M.G., Dutra, Diego L.C.
Publikováno v:
In Neurocomputing 28 October 2023 555
Autor:
Junior, Rui R. Mello, Araujo, Leandro S., Alves, Tiago A. O., Marzulo, Leandro A. J., Paillard, Gabriel A. L., França, Felipe M. G.
With the increase of the search for computational models where the expression of parallelism occurs naturally, some paradigms arise as options for the next generation of computers. In this context, dynamic Dataflow and Gamma - General Abstract Model
Externí odkaz:
http://arxiv.org/abs/1811.00607