
Reducing Computational Complexity of Tensor Contractions via TensorTrain Networks
There is a significant expansion in both volume and range of application...
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Graph Theory for Metro Traffic Modelling
A unifying graph theoretic framework for the modelling of metro transpor...
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TensorTrain Recurrent Neural Networks for Interpretable MultiWay Financial Forecasting
Recurrent Neural Networks (RNNs) represent the de facto standard machine...
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Tensor Networks for MultiModal NonEuclidean Data
Modern data sources are typically of large scale and multimodal natures...
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MultiGraph Tensor Networks
The irregular and multimodal nature of numerous modern data sources pos...
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Recurrent Graph Tensor Networks
Recurrent Neural Networks (RNNs) are among the most successful machine l...
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Yao Lei Xu
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