no code implementations • 25 Apr 2022 • Benjamín Machín, Sergio Nesmachnow, Jamal Toutouh
This article presents an evolutionary approach for synthetic human portraits generation based on the latent space exploration of a generative adversarial network.
no code implementations • 5 Mar 2021 • Diego Gabriel Rossit, Jamal Toutouh, Sergio Nesmachnow
Municipal solid waste management is a major challenge for nowadays urban societies, because it accounts for a large proportion of public budget and, when mishandled, it can lead to environmental and social problems.
no code implementations • NeurIPS Workshop LMCA 2020 • Renzo Massobrio, Sergio Nesmachnow, Bernabé Dorronsoro
This article describes Virtual Savant, a novel paradigm that applies machine learning to derive knowledge from previously-solved optimization problem instances in order to solve new ones in a massively-parallel fashion.
no code implementations • 7 Apr 2020 • Emiliano Perez, Sergio Nesmachnow, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Generative adversarial networks (GANs) are widely used to learn generative models.
no code implementations • 25 Jun 2019 • Jamal Toutouh, Diego Rossit, Sergio Nesmachnow
Experimental evaluation performed on real scenarios on the cities of Montevideo (Uruguay) and Bahia Blanca (Argentina) demonstrates the effectiveness of the proposed approaches.