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03/14/2022
Generalized Rectifier Wavelet Covariance Models For Texture Synthesis
State-of-the-art maximum entropy models for texture synthesis are built ...
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03/14/2022
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes
Generative Adversarial Networks (GANs) learn an implicit generative mode...
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12/10/2021
On the Relationships between Transform-Learning NMF and Joint-Diagonalization
Non-negative matrix factorization with transform learning (TL-NMF) is a ...
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10/27/2020
Particle gradient descent model for point process generation
This paper introduces a generative model for planar point processes in a...
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11/22/2019
Maximum Entropy Models from Phase Harmonic Covariances
We define maximum entropy models of non-Gaussian stationary random vecto...
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12/19/2018
Statistical learning of geometric characteristics of wireless networks
Motivated by the prediction of cell loads in cellular networks, we formu...
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10/29/2018
Phase Harmonics and Correlation Invariants in Convolutional Neural Networks
We prove that linear rectifiers act as phase transformations on complex ...
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12/20/2014
Deep learning with Elastic Averaging SGD
We study the problem of stochastic optimization for deep learning in the...
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06/06/2012