6 citations · 7 across the 2 of their papers we have counts for
4 papers
Maximum Entropy Models from Phase Harmonic Covariances
Sixin Zhang, Stéphane Mallat
The covariance of a stationary process is diagonalized by a Fourier transform. It does not take into account the complex Fourier phase and defines Gaussian maximum entropy mode…
Statistical learning of geometric characteristics of wireless networks
Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat +1
Motivated by the prediction of cell loads in cellular networks, we formulate the following new, fundamental problem of statistical learning of geometric marks of point processes: A…
Phase Harmonic Correlations and Convolutional Neural Networks
Stéphane Mallat, Sixin Zhang, Gaspar Rochette
A major issue in harmonic analysis is to capture the phase dependence of frequency representations, which carries important signal properties. It seems that convolutional neural ne…
Distributed stochastic optimization for deep learning (thesis)
Sixin Zhang
We study the problem of how to distribute the training of large-scale deep learning models in the parallel computing environment. We propose a new distributed stochastic optimizati…