Ensemble Mask Networks

Jonny Luntzel

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arXiv · 2309.06382

Ensemble Mask Networks

Jonny Luntzel

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Abstract

Can an $\mathbb{R}^n\rightarrow \mathbb{R}^n$ feedforward network learn matrix-vector multiplication? This study introduces two mechanisms - flexible masking to take matrix inputs, and a unique network pruning to respect the mask's dependency structure. Networks can approximate fixed operations such as matrix-vector multiplication $\phi(A,x) \rightarrow Ax$, motivating the mechanisms introduced with applications towards litmus-testing dependencies or interaction order in graph-based models.

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Jonny Luntzel. 2023-09-12. Ensemble Mask Networks. https://arxiv.org/abs/2309.06382

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