The Polytopal Neural Network
Understanding how deep neural networks process information remains a central challenge. Existing interpretability methods often compromise structural fidelity, rely on prespecified corpora, or explain models post-hoc. We propose Polytopal Neural Networks (PNNs), a framework that extracts distinct layer-wise aspects by...
A. E. J. Wedenborg, A. V. Nørskov, Teresa Dorszewski et al.
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