124 citations · 183 across the 11 of their papers we have counts for
11 papers
Evacuation Shelter Scheduling Problem
Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata +3
Evacuation shelters, which are urgently required during natural disasters, are designed to minimize the burden of evacuation on human survivors. However, the larger the scale of th…
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms
Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita +3
This paper develops a framework that can perform denoising, dereverberation, and source separation accurately by using a relatively small number of microphones. It has been empiric…
Acceleration Method for Learning Fine-Layered Optical Neural Networks
Kazuo Aoyama, Hiroshi Sawada
An optical neural network (ONN) is a promising system due to its high-speed and low-power operation. Its linear unit performs a multiplication of an input vector and a weight matri…
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation
Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita +2
This paper proposes an approach for optimizing a Convolutional BeamFormer (CBF) that can jointly perform denoising (DN), dereverberation (DR), and source separation (SS). First, we…
A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter
Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada +1
This paper presents a computationally efficient approach to blind source separation (BSS) of audio signals, applicable even when there are more sources than microphones (i.e., the…
Quantum transport evidence of Weyl fermions in an epitaxial ferromagnetic oxide
Kosuke Takiguchi, Yuki K. Wakabayashi, Hiroshi Irie +8
Magnetic Weyl fermions, which occur in magnets, have novel transport phenomena related to pairs of Weyl nodes, and they are, of both, scientific and technological interest, with th…
Machine-learning-assisted thin-film growth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films
Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger +3
Materials informatics exploiting machine learning techniques, e.g., Bayesian optimization (BO), has the potential to offer high-throughput optimization of thin-film growth conditio…
Finding Appropriate Traffic Regulations via Graph Convolutional Networks
Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu +3
Appropriate traffic regulations, e.g. planned road closure, are important in congested events. Crowd simulators have been used to find appropriate regulations by simulating multipl…
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization
Antoine Rolet, Vivien Seguy, Mathieu Blondel +1
Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention. Building upon recent advances in computational optimal transport, we…
Histogram Meets Topic Model: Density Estimation by Mixture of Histograms
Hideaki Kim, Hiroshi Sawada
The histogram method is a powerful non-parametric approach for estimating the probability density function of a continuous variable. But the construction of a histogram, compared t…
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…