69 citations · 200 across the 21 of their papers we have counts for
3 papers · 1 filter
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
In this paper, we propose a scalable algorithm for spectral embedding. The latter is a standard tool for graph clustering. However, its computational bottleneck is the eigendecompo…
OrthoNet: Multilayer Network Data Clustering
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
Network data appears in very diverse applications, like biological, social, or sensor networks. Clustering of network nodes into categories or communities has thus become a very co…
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training
Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux +2
In this paper, we develop a novel second-order method for training feed-forward neural nets. At each iteration, we construct a quadratic approximation to the cost function in a low…