101 citations · 346 across the 24 of their papers we have counts for
Showing 2019Show all
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stat.ML2019★ 5 cited
Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection
Naoya Takeishi
We present a method to compute the Shapley values of reconstruction errors of principal component analysis (PCA), which is particularly useful in explaining the results of anomaly…
cs.MA2019★ 17 cited
Physically-interpretable classification of biological network dynamics for complex collective motions
Keisuke Fujii, Naoya Takeishi, Motokazu Hojo +2
Understanding biological network dynamics is a fundamental issue in various scientific and engineering fields. Network theory is capable of revealing the relationship between eleme…
cs.LG2019★ 8 cited
Knowledge-Based Regularization in Generative Modeling
Naoya Takeishi, Yoshinobu Kawahara
Prior domain knowledge can greatly help to learn generative models. However, it is often too costly to hard-code prior knowledge as a specific model architecture, so we often have…