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07/02/2023
TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition
High-dimensional token embeddings underpin Large Language Models (LLMs),...
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03/23/2023
Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains
Despite the omnipresence of tensors and tensor operations in modern deep...
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09/01/2021
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks
There is a significant expansion in both volume and range of application...
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05/11/2021
Graph Theory for Metro Traffic Modelling
A unifying graph theoretic framework for the modelling of metro transpor...
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05/11/2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting
Recurrent Neural Networks (RNNs) represent the de facto standard machine...
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03/27/2021
Tensor Networks for Multi-Modal Non-Euclidean Data
Modern data sources are typically of large scale and multi-modal natures...
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10/25/2020
Multi-Graph Tensor Networks
The irregular and multi-modal nature of numerous modern data sources pos...
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09/18/2020
