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20172021
most citedCompression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation

21 citations · 26 across the 8 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

eess.SP2017

The sum of tensor networks

Giuseppe G. Calvi, Ilia Kisil, Danilo P. Mandic

Tensor networks (TNs) have been gaining interest as multiway data analysis tools owing to their ability to tackle the curse of dimensionality and to represent tensors as smaller-sc…

eess.SP2017★ 3 cited

Tensor Valued Common and Individual Feature Extraction: Multi-dimensional Perspective

Ilia Kisil, Giuseppe G. Calvi, Danilo P. Mandic

A novel method for common and individual feature analysis from exceedingly large-scale data is proposed, in order to ensure the tractability of both the computation and storage and…