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05/01/2019
A Unified Deep Learning Formalism For Processing Graph Signals
Convolutional Neural Networks are very efficient at processing signals d...
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02/27/2018
Matching Convolutional Neural Networks without Priors about Data
We propose an extension of Convolutional Neural Networks (CNNs) to graph...
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10/27/2017
Convolutional neural networks on irregular domains through approximate translations on inferred graphs
We propose a generalization of convolutional neural networks (CNNs) to i...
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09/12/2017
Translations on graphs with neighborhood preservation
In the field of graph signal processing, defining translation operators ...
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06/08/2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
We propose a simple and generic layer formulation that extends the prope...
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04/18/2017
A Study of Deep Learning Robustness Against Computation Failures
For many types of integrated circuits, accepting larger failure rates in...
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06/03/2016
