Explanipedia

Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks Open

Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi · 2025

Optical neural networks (ONNs) have attracted great attention due to their low power consumption and high-speed processing. When training an ONN implemented on a chip with possible fabrication variations, the well-known backpropagation alg…

Optoelectronic recurrent neural network using optical-electrical-optical converters with RC delay Open

Masaya Arahata, Shota Kita, Kazuo Aoyama, Akihiko Shinya, Hiroshi Sawada , et al. · 2024

Optical neural network (ONN) has been attracting intense attention owing to their low latency and low-power consumption. Among the ONNs, optical recurrent neural network (RNN) enables low-power and high-speed time-series data processing us…

Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean Open

Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu , et al. · 2023

Perovskite insulator SrTiO3 (STO) is expected to be applied to the next generation of electronic and photonic devices as high-k capacitors and photocatalysts. However, reproducible growth of highly insulating stoichiometric (STO) films rem…

Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean Open

Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu , et al. · 2023

Perovskite insulator SrTiO3 is expected to be applied to the next generation of electronic and photonic devices as high-k capacitors and photocatalysts. However, reproducible growth of highly insulating stoichiometric SrTiO3 films remains …

Stability Evaluation of Reference and Indicating Electrodes of pH Sensor During Monitoring of Cow’s Rumen Open

Chihiro Shimodan, Michitaka Yamamoto, Hiroshi Sawada, Yoshihiro Muneta, Shozo Arai , et al. · 2023

Drift has been a problem for rumen pH sensors, but it is not known whether the reference electrode or the indicating electrode of the pH sensor is the main cause of the drift.In this study, the drift of each electrode was evaluated by plac…

School Families: A New Formulation of School District Planning Problem Open

Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada , et al. · 2023

This paper makes a plan to introduce school families. School families refer to a hierarchical system where the junior high school district encompasses the elementary school district. School families have the advantage of promoting efficien…

Publisher Correction: Bayesian optimization with experimental failure for high-throughput materials growth Open

Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu , et al. · 2022

Bayesian optimization with experimental failure for high-throughput materials growth Open

Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu , et al. · 2022

Phase Convergence and Crest Enhancement of Modulated Wave Trains Open

Hidetaka Houtani, Hiroshi Sawada, Takuji Waseda · 2022

The Akhmediev breather (AB) solution of the nonlinear Schrödinger equation (NLSE) shows that the maximum crest height of modulated wave trains reaches triple the initial amplitude as a consequence of nonlinear long-term evolution. Several …

Phase convergence and crest enhancement of modulated wave trains Open

Hidetaka Houtani, Hiroshi Sawada, Takuji Waseda · 2022

The Akhmediev breather (AB) solution of the nonlinear Schr$ö$dinger equation (NLSE) shows that the maximum crest height of modulated wave trains reaches triple the initial amplitude as a consequence of nonlinear long-term evolution. Severa…

Intrinsic physics in magnetic Weyl semimetal SrRuO<sub>3</sub> films addressed by machine-learning-assisted molecular beam epitaxy Open

Yuki K. Wakabayashi, Yoshiharu Krockenberger, Takuma Otsuka, Hiroshi Sawada, Yoshitaka Taniyasu , et al. · 2022

The itinerant 4 d ferromagnetic perovskite SrRuO 3 [bulk Curie temperature ( T C ) = 165 K] has been studied extensively for many decades because of the unique nature of its ferromagnetism, metallicity, chemical stability, and compatibilit…

Evacuation Shelter Scheduling Problem Open

Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada , et al. · 2022

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 the disaster, the more costly it becomes to operate shelters.…

Evacuation Shelter Scheduling Problem Open

Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada , et al. · 2021

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 the disaster, the more costly it becomes to operate shelters.…

Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms Open

Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Naoyuki Kamo , et al. · 2021

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 empirically confirmed that Independent Vector Analysis (IVA) can b…

Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithm Open

Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Naoyuki Kamo , et al. · 2021

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 empirically confirmed that Independent Vector Analysis (IVA) can b…

Bayesian Unification of Sound Source Localization and Separation with Permutation Resolution Open

Takuma Otsuka, Katsuhiko Ishiguro, Hiroshi Sawada, Hiroshi G. Okuno · 2021

Sound source localization and separation with permutation resolution are essential for achieving a computational auditory scene analysis system that can extract useful information from a mixture of various sounds. Because existing methods …

Acceleration Method for Learning Fine-Layered Optical Neural Networks Open

Kazuo Aoyama, Hiroshi Sawada · 2021

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 matrix in optical analog circuits. Among them, a circuit with a …

Blind and Neural Network-Guided Convolutional Beamformer for Joint Denoising, Dereverberation, and Source Separation Open

Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Shoko Araki · 2021

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 develop a blind CBF optimization algorithm that requires n…

A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter Open

Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada, Tomohiro Nakatani · 2021

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 underdetermined case). When there are as many sources as mi…

Emergence of Weyl fermions in an epitaxial ferromagnetic oxide Open

Kosuke Takiguchi, Yuki K. Wakabayashi, Hiroshi Irie, Yoshiharu Krockenberger, Takuma Otsuka , et al. · 2020

Collection and Analysis of Dialogues Provided by Two Speakers Acting as One Open

Tsunehiro Arimoto, Ryuichiro Higashinaka, Kou Tanaka, Takahito Kawanishi, Hiroaki Sugiyama , et al. · 2020

Tsunehiro Arimoto, Ryuichiro Higashinaka, Kou Tanaka, Takahito Kawanishi, Hiroaki Sugiyama, Hiroshi Sawada, Hiroshi Ishiguro. Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 2020.

Machine-learning-assisted thin-film growth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films Open

Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu , et al. · 2019

Materials informatics exploiting machine learning techniques, e.g., Bayesian optimization (BO), have the potential to reduce the number of thin-film growth runs for optimization of thin-film growth conditions through incremental updates of…

Data Assimilation and Preliminary Security Planning for People Crowd Open

Tatsushi Matsubayashi, Hiroshi Kiyotake, Masahiro Kohjima, Hiroyuki Toda, Yusuke Tanaka , et al. · 2019

Forming security plans for crowd navigation is essential to ensure safety management at large-scale events. The Multi Agent Simulator (MAS) is widely used for preparing security plans that will guide responses to sudden and unexpected acci…

A Model for Selection of Attractions in Theme Park and Estimation of Model Parameters Open

Hitoshi Shimizu, Tatsushi Matsubayashi, Futoshi Naya, Hiroshi Sawada · 2019

The theme park problem is a platform where methods of guiding visitors to relieve congestion are developed and evaluated by reproducing a crowded theme park on a computer. In the theme park problem, the attraction selection model is an imp…

Machine-learning-assisted thin-film growth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films Open

Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu , et al. · 2019

Materials informatics exploiting machine learning techniques, e.g., Bayesian optimization (BO), has the potential to offer high-throughput optimization of thin-film growth conditions through incremental updates of machine learning models i…

Learning of Nonnegative Matrix Factorization Models for Inconsistent Resolution Dataset Analysis Open

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada · 2019

Due to the need to protect personal information and the impracticality of exhaustive data collection, there is increasing need to deal with datasets with various levels of granularity, such as user-individual data and user-group data. In t…

A review of blind source separation methods: two converging routes to ILRMA originating from ICA and NMF Open

Hiroshi Sawada, Nobutaka Ono, Hirokazu Kameoka, Daichi Kitamura, Hiroshi Saruwatari · 2019

This paper describes several important methods for the blind source separation of audio signals in an integrated manner.Two historically developed routes are featured.One started from independent component analysis and evolved to independe…

Finding Appropriate Traffic Regulations via Graph Convolutional Networks Open

Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya , et al. · 2018

Appropriate traffic regulations, e.g. planned road closure, are important in congested events. Crowd simulators have been used to find appropriate regulations by simulating multiple scenarios with different regulations. However, this appro…

Blind source separation with optimal transport non-negative matrix factorization Open

Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada · 2018

Designing a Hydro-Structural Ship Model to Experimentally Measure its Vertical Bending and Torsional Vibrations Open

Hidetaka Houtani, Yusuke Komoriyama, Sadaoki Matsui, Masayoshi Oka, Hiroshi Sawada , et al. · 2018

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