4 citations · 16 across the 14 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
stat.ML2021★ 4 cited
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case
Benoit Collins, Tomohiro Hayase
Free Probability Theory (FPT) provides rich knowledge for handling mathematical difficulties caused by random matrices that appear in research related to deep neural networks (DNNs…
cs.LG2021
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization
Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase +1
The interpretability of neural networks (NNs) is a challenging but essential topic for transparency in the decision-making process using machine learning. One of the reasons for th…