3 citations · 5 across the 5 of their papers we have counts for
5 papers
Properties of holographic superconductors from Machine Learning
Aliou Togo, Yang Yu, Kaniba Mady Keita +2
We investigate holographic superconductors using modern optimisation techniques inspired by machine learning. The critical temperature is obtained by minimising the variational fun…
Association Rules Machine Learning complete intersection Calabi-Yau 5-Folds and 6-Folds
Kaniba Mady Keita
Association rule machine learning is applied to the dataset of complete intersection Calabi--Yau 5-folds and 6-folds in order to uncover hidden patterns among their Hodge numbers.…
Machine Learning Calabi-Yau Three-Folds, Four-Folds, and Five-Folds
Kaniba Mady Keita, Younouss Hamèye Dicko
In this manuscript, we demonstrate, using several regression techniques, that the remaining independent Hodge numbers of complete intersection Calabi-Yau four-folds and five-folds…
Machine learning complete intersection Calabi-Yau 3-folds
Kaniba Mady Keita
Gaussian process regression, kernel support vector regression, the random forest, extreme gradient boosting, and the generalized linear model algorithms are applied to data of comp…
Higher Derivative Operators in the Noncommutative Schwinger Model
Kaniba Mady Keita, Feng Wu, Ming Zhong
A study of the noncommutative Schwinger model is presented. It is shown that the Schwinger mass is not modified by the noncommutativity of spacetime till the first nontrivial order…