2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Global Hierarchical Neural Networks using Hierarchical Softmax
Jetze Schuurmans, Flavius Frasincar
This paper presents a framework in which hierarchical softmax is used to create a global hierarchical classifier. The approach is applicable for any classification task where there…
cs.LG2022★ 2 cited
Position: Tensor Networks are a Valuable Asset for Green AI
Eva Memmel, Clara Menzen, Jetze Schuurmans +2
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 inclu…