CV Lattes
ResearcherID
Universidade de São Paulo (USP). Instituto de Física (IF) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Renato Vicente completed his doctorate in Machine Learning in the Neural Computing Research Group at Aston University in Birmingham in 2001. He is currently an Associate Professor in the Department of Applied Mathematics at the Institute of Mathematics and Statistics of the University of São Paulo and Chief Data Scientist at the Latin American Experian DataLab. He is interested in statistical mechanics of socio-biological complex systems, information theory and machine learning. (Source: Lattes Curriculum)
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| Academia and private enterprise join forces to foster research in artificial intelligence |
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Recent estimates indicate a much faster growth in the production of data compared to the storage capacity and even faster compared to the processing capacity. Compressed Sensing (CS) is a technique that starts from the premise that data acquisition and data compression can occur simultaneously, in a way that extracts the redundancy in the data directly on its acquisition. Methods from Sta…
Both Statistical Mechanics and an important part of Theoretical Economics are concerned with the derivation of emergent behavior (or macrobehavior) from microscopic laws (or micromotives). In this PhD proposal our aim is to seek new results and models that may be of interest in Economics by using modern techniques of Statistical Mechanics. Specifically, we are interested in models of Gene…
We propose to study, within a statistical mechanics point of view, aspects of problems in information security, in particular those of estimate of reputations and steganography. Using recently established connections between statistical mechanics and processes of inference and optimization, we are able to analyze algorithms used in the study of such problems, determining bounds in its per…
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Compressed Sensing (CS) é a Family of techniques where signal measurement and signal compression happen simultaneously. Given a signal represented by a N-dimensional vector x0 and a measuring matrix F of dimension MxN, we make M linear measurements y=F x0. Previous work by Sompolinsky et al. and Kabashima et al. where Statistical Mechanics techniques were used indicated that when x0 is k-…
In this research project for the Internship Abroad, we propose further directions for the development of the student's current research on suboptimal consumer decision through a statistical mechanics framework, which is applied to a Linear Economy model by Matteo Marsili et al. This research would be carried out with prof. Marsili at ICTP from November 2014 to September 2015. (AU)
Bayesian inference models are specially useful in the description of processes in which, from noise-corrupted measurements, one wishes to estimate the systems current state. In the last decades, tools from the statistical mechanics of disordered systems have been used in the study of such models; in particular, in the last few years, it has been noted a great similarity between the cavity…
| 6 / 4 | Completed scholarships in Brazil |
| 3 / 3 | Completed scholarships abroad |
| 9 / 7 | All Scholarships |
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