Search Results for author: Hiroshi Sawada

Found 12 papers, 0 papers with code

Evacuation Shelter Scheduling Problem

no code implementations26 Nov 2021 Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto

In this study, we formulate the "Evacuation Shelter Scheduling Problem," which allocates evacuees to shelters in such a way to minimize the movement costs of the evacuees and the operation costs of the shelters.

Scheduling

Acceleration Method for Learning Fine-Layered Optical Neural Networks

no code implementations1 Sep 2021 Kazuo Aoyama, Hiroshi Sawada

Among them, a circuit with a multiple-layered structure of programmable Mach-Zehnder interferometers (MZIs) can realize a specific class of unitary matrices with a limited number of MZIs as its weight matrix.

Quantum transport evidence of Weyl fermions in an epitaxial ferromagnetic oxide

no code implementations2 Apr 2020 Kosuke Takiguchi, Yuki K. Wakabayashi, Hiroshi Irie, Yoshiharu Krockenberger, Takuma Otsuka, Hiroshi Sawada, Sergey A. Nikolaev, Hena Das, Masaaki Tanaka, Yoshitaka Taniyasu, Hideki Yamamoto

SrRuO3, a 4d ferromagnetic metal often used as an epitaxial conducting layer in oxide heterostructures, provides a promising opportunity to seek for the existence of magnetic Weyl fermions.

Materials Science Strongly Correlated Electrons

Finding Appropriate Traffic Regulations via Graph Convolutional Networks

no code implementations23 Oct 2018 Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda

In this paper, we propose a method to learn a function that outputs regulation effects given the current traffic situation as inputs.

Blind Source Separation with Optimal Transport Non-negative Matrix Factorization

no code implementations15 Feb 2018 Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada

Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention.

blind source separation

Histogram Meets Topic Model: Density Estimation by Mixture of Histograms

no code implementations25 Dec 2015 Hideaki Kim, Hiroshi Sawada

The histogram method is a powerful non-parametric approach for estimating the probability density function of a continuous variable.

Density Estimation

Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions

no code implementations NeurIPS 2015 Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada

We propose a kernel-based method for finding matching between instances across different domains, such as multilingual documents and images with annotations.

Latent Support Measure Machines for Bag-of-Words Data Classification

no code implementations NeurIPS 2014 Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada

With the latent SMM, a latent vector is associated with each vocabulary term, and each document is represented as a distribution of the latent vectors for words appearing in the document.

General Classification text-classification +1

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