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pro vyhledávání: '"Roberto, L."'
As inference on Large Language Models (LLMs) emerges as an important workload in machine learning applications, weight quantization has become a standard technique for efficient GPU deployment. Quantization not only reduces model size, but has also b
Externí odkaz:
http://arxiv.org/abs/2408.11743
Autor:
Castro, Roberto L., Ivanov, Andrei, Andrade, Diego, Ben-Nun, Tal, Fraguela, Basilio B., Hoefler, Torsten
The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compute efficiency, and accelerated hardware is becoming available. However
Externí odkaz:
http://arxiv.org/abs/2310.02065
Autor:
Visish M. Srinivasan, Roberto L. Garcia, Oleg Shekhtman, Ariadna Robledo, Tyler Lazaro, Abhijit Rao, Sean O'Leary, Adam Husain, Michael M. Covell, Michael Phillips, Phillip Cooper, Richard Forrest Duncan, Oscar Bolanos, Marco Colasurdo, Gautam Edhayan, Stephen R. Chen, Robert Fahed, Peter Kan
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 4, Iss 5 (2024)
Background Direct endoluminal imaging, such as with our previously described microangioscope, is an emerging adjunct in endovascular cerebral aneurysm management that enables clinicians to delineate between thrombi and visualize neoepithelialization
Externí odkaz:
https://doaj.org/article/7faba2ad4ccd4ec4b98a17929f07aa28
Autor:
Sterling-Montealegre, Juan M., Norberto Benitez, Luis, Palma-Goyes, Ricardo E., Luna-Sanchez, Rosa M., Ferraro, Franklin, Palomino-Resendiz, Roberto L., García-Solares, Selene M., Vazquez-Arenas, Jorge
Publikováno v:
In Journal of Electroanalytical Chemistry 15 November 2024 973
Publikováno v:
IEEE Access, Vol 12, Pp 70581-70599 (2024)
The relentless growth of modern Machine Learning models has spurred the adoption of sparsification techniques to simplify their architectures and reduce the computational demands. Network pruning has demonstrated success in maintaining original netwo
Externí odkaz:
https://doaj.org/article/fc6a3583265745cfafbb07167aebaa8b
Autor:
Daniel Cuevas-González, Juan C. Delgado-Torres, M. A. Reyna, Eladio Altamira-Colado, Juan Pablo García-Vázquez, Martín Aarón Sánchez-Barajas, Roberto L. Avitia
Publikováno v:
Atmosphere, Vol 15, Iss 10, p 1217 (2024)
Air pollution is recognized by the World Health Organization as the major environmental threat; therefore, air quality is constantly being monitored by monitoring stations. However, the most common atmospheric pollutants being monitored do not includ
Externí odkaz:
https://doaj.org/article/ab45ef0737fe499c9591d0d00dbd6882
Autor:
Budge, Stephanie L., Abreu, Roberto L., Flinn, Ryan E., Donahue, Kelly L., Estevez, Rebekah, Olezeski, Christy L., Bernacki, Jessica M., Barr, Sebastian, Bettergarcia, Jay, Sprott, Richard A., Allen, Brittany J.
Publikováno v:
In Journal of Adolescent Health December 2024 75(6):851-853
Autor:
Palomino-Resendiz, Roberto L., Palomares-Reyna, Daniela, Yañez-Ríos, Angel, Lara, René H., Trejo, Gabriel, García-Pérez, Ulises M., Sosa-Rodríguez, Fabiola S., Vazquez-Arenas, Jorge
Publikováno v:
In International Journal of Hydrogen Energy 5 August 2024 77:324-335