Kaoru Hiramatsu

37 papers 109 citations h-index 3 1998–2018

Generative Adversarial Image Synthesis with Decision Tree Latent Controller

This paper proposes the decision tree latent controller generative adversarial network (DTLC-GAN), an extension of a GAN that can learn hierarchically interpretable representations without relying...

Understanding Community Structure in Layered Neural Networks

A layered neural network is now one of the most common choices for the prediction of high-dimensional practical data sets, where the relationship between input and output data is complex and...

23 citations 2018-04 Neurocomputing

Modular Representation of Layered Neural Networks

Layered neural networks have greatly improved the performance of various applications including image processing, speech recognition, natural language processing, and bioinformatics. However, it...

59 citations 2017-03 Neural Networks

Knowledge Discovery from Layered Neural Networks based on Non-negative Task Decomposition

Interpretability has become an important issue in the machine learning field, along with the success of layered neural networks in various practical tasks. Since a trained layered neural network...

2 citations 2018-05 arXiv.org