30 citations · 67 across the 13 of their papers we have counts for
7 papers
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces
Tomoharu Iwata, Yoshinobu Kawahara
We propose a data-driven method for controlling the frequency and convergence rate of black-box nonlinear dynamical systems based on the Koopman operator theory. With the proposed…
Predicting Opinion Dynamics via Sociologically-Informed Neural Networks
Maya Okawa, Tomoharu Iwata
Opinion formation and propagation are crucial phenomena in social networks and have been extensively studied across several disciplines. Traditionally, theoretical models of opinio…
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…
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…
Collaboration on Social Media: Analyzing Successful Projects on Social Coding
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
Social Coding Sites (SCSs) are social media services for sharing software development projects on the Web, and many open source projects are currently being developed on SCSs. One…
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…