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stat.ML2018★ 2 cited
Building Function Approximators on top of Haar Scattering Networks
Fernando Fernandes Neto
In this article we propose building general-purpose function approximators on top of Haar Scattering Networks. We advocate that this architecture enables a better comprehension of…
stat.ML2018
Generative Models for Stochastic Processes Using Convolutional Neural Networks
Fernando Fernandes Neto
The present paper aims to demonstrate the usage of Convolutional Neural Networks as a generative model for stochastic processes, enabling researchers from a wide range of fields (s…