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Tomoharu Iwata

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Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability

Mar 13, 2020
Yuya Yoshikawa, Tomoharu Iwata

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Semi-supervised Anomaly Detection on Attributed Graphs

Feb 27, 2020
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

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Efficient Transfer Bayesian Optimization with Auxiliary Information

Sep 17, 2019
Tomoharu Iwata, Takuma Otsuka

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Anomaly Detection with Inexact Labels

Sep 11, 2019
Tomoharu Iwata, Machiko Toyoda, Shotaro Tora, Naonori Ueda

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Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs

Jul 19, 2019
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata, Takeshi Kurashima, Maya Okawa, Yasunori Akagi, Hiroyuki Toda

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Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

Jun 21, 2019
Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, Naonori Ueda

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Supervised Anomaly Detection based on Deep Autoregressive Density Estimators

Apr 12, 2019
Tomoharu Iwata, Yuki Yamanaka

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Autoencoding Binary Classifiers for Supervised Anomaly Detection

Mar 26, 2019
Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai

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Unsupervised Object Matching for Relational Data

Oct 24, 2018
Tomoharu Iwata, Naonori Ueda

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Finding Appropriate Traffic Regulations via Graph Convolutional Networks

Oct 23, 2018
Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda

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