18 citations · 19 across the 4 of their papers we have counts for
5 papers
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
In this article, we investigate the spectral behavior of random features kernel matrices of the type ${\bf K} = \mathbb{E}_{\bf w} \left[σ\left({\bf w}^{\sf T}{\bf x}_i\right)σ\lef…
Latent heterogeneous multilayer community detection
Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz +3
We propose a method for simultaneously detecting shared and unshared communities in heterogeneous multilayer weighted and undirected networks. The multilayer network is assumed to…
Coulomb Autoencoders
Emanuele Sansone, Hafiz Tiomoko Ali, Sun Jiacheng
Learning the true density in high-dimensional feature spaces is a well-known problem in machine learning. In this work, we consider generative autoencoders based on maximum-mean di…
Spectral community detection in heterogeneous large networks
Hafiz Tiomoko Ali, Romain Couillet
In this article, we study spectral methods for community detection based on -parametrized normalized modularity matrix hereafter called in heterogeneous graph mode…
The Asymptotic Performance of Linear Echo State Neural Networks
Romain Couillet, Gilles Wainrib, Harry Sevi +1
In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks. Considering the realisti…