Jetze Schuurmans — accepted AI-conference papers

2024

Position: Tensor Networks are a Valuable Asset for Green AI

Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, kim batselier

ICML 2024poster

For the first time, this position paper introduces a fundamental link between tensor networks (TNs) and Green AI, highlighting their synergistic potential to enhance both the inclusivity and sustainability of AI research. We argue that TNs are valuable for Green AI due to their strong mathematical b…

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2023

How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?

Jetze Schuurmans, kim batselier, Julian Kooij

ICLR 2023poster

Tensor decompositions have been successfully applied to compress neural networks. The compression algorithms using tensor decompositions commonly minimize the approximation error on the weights. Recent work assumes the approximation error on the weights is a proxy for the performance of the model to…

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