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09/18/2019
Deep Complex Networks for Protocol-Agnostic Radio Frequency Device Fingerprinting in the Wild
Researchers have demonstrated various techniques for fingerprinting and ...
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07/21/2019
Image Classification with Hierarchical Multigraph Networks
Graph Convolutional Networks (GCNs) are a class of general models that c...
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05/08/2019
Data-Efficient Mutual Information Neural Estimator
Measuring Mutual Information (MI) between high-dimensional, continuous, ...
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05/08/2019
Understanding attention in graph neural networks
We aim to better understand attention over nodes in graph neural network...
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11/23/2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Spectral Graph Convolutional Networks (GCNs) are a generalization of con...
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04/27/2018
Human Motion Modeling using DVGANs
We present a novel generative model for human motion modeling using Gene...
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07/03/2017
Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels
A popular testbed for deep learning has been multimodal recognition of h...
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03/21/2016