30 citations · 64 across the 7 of their papers we have counts for
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stat.ML2021
Training Deep Models to be Explained with Fewer Examples
Tomoharu Iwata, Yuya Yoshikawa
Although deep models achieve high predictive performance, it is difficult for humans to understand the predictions they made. Explainability is important for real-world application…
stat.ML2014★ 1 cited
Multi-view Anomaly Detection via Probabilistic Latent Variable Models
Tomoharu Iwata, Makoto Yamada
We propose a nonparametric Bayesian probabilistic latent variable model for multi-view anomaly detection, which is the task of finding instances that have inconsistent views. With…
stat.ML2012★ 11 cited
Warped Mixtures for Nonparametric Cluster Shapes
Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani
A mixture of Gaussians fit to a single curved or heavy-tailed cluster will report that the data contains many clusters. To produce more appropriate clusterings, we introduce a mode…