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Results for "Ilyes Khemakhem"

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Variational Autoencoders and Nonlinear ICA: A Unifying FrameworkJul 10 2019The framework of variational autoencoders allows us to efficiently learn deep latent-variable models, such that the model's marginal distribution over observed variables fits the data. Often, we're interested in going a step further, and want to approximate ... More
Prévision du risque de crédit : Une étude comparative entre l'Analyse Discriminante et l'Approche NeuronaleNov 18 2013Banks are interested in evaluating the risk of the financial distress before giving out a loan. Many researchers proposed the use of models based on the Neural Networks in order to help the banker better make a decision. The objective of this paper is ... More
Helium abundance in giant planets and the local interstellar mediumOct 01 2014The sun and giant planets are generally thought to have the same helium abundance as that in the solar nebula from which they were formed 4.6 billion years ago. In contrast, the interstellar medium reflects current galactic conditions. The departure of ... More
Towards trusted volunteer grid environmentsMar 17 2010Intensive experiences show and confirm that grid environments can be considered as the most promising way to solve several kinds of problems relating either to cooperative work especially where involved collaborators are dispersed geographically or to ... More
A Globally Convergent Gauss-Newton Algorithm for AC Optimal Power FlowMay 21 2019We propose a globally convergent and robust Gauss-Newton algorithm for finding a (local) optimal solution of a non-convex and possibly non-smooth optimization problem arising from AC optimal power flow on meshed networks. The algorithm that we present ... More
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planningFeb 01 2019Feb 27 2019A total of twenty paired CT and MR images were used in this study to investigate two conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating synthetic CT images for Headand Neck cancer cases. Ten of the patient cases were used ... More
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planningFeb 01 2019Feb 07 2019A total of twenty paired CT and MR images were used in this study to investigate two conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating synthetic CT images for Headand Neck cancer cases. Ten of the patient cases were used ... More
LMF ReloadedMay 23 2019Lexical Markup Framework (LMF) or ISO 24613 [1] is a de jure standard that provides a framework for modelling and encoding lexical information in retrodigitised print dictionaries and NLP lexical databases. An in-depth review is currently underway within ... More