27 citations · 28 across the 3 of their papers we have counts for
7 papers
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…