Search Results for author: Jetze Schuurmans

Found 2 papers, 1 papers with code

Global Hierarchical Neural Networks using Hierarchical Softmax

1 code implementation2 Aug 2023 Jetze Schuurmans, Flavius Frasincar

In all datasets the hierarchical softmax improved on the regular softmax used in a flat classifier in terms of macro-F1 and macro-recall.

text-classification Text Classification

Position: Tensor Networks are a Valuable Asset for Green AI

no code implementations25 May 2022 Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier

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.

Tensor Networks

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