Yasunori Futamura

According to our database, Yasunori Futamura authored at least 23 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data.

Momo Matsuda, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai

Frontiers Comput. Sci., 2023

Quantum Algorithm for Regularized Spectral Clustering.

Changzhou Long, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

2022

Flexible subspace iteration with moments for an effective contour integration-based eigensolver.

Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai

Numer. Linear Algebra Appl., 2022

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism.

Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin

Briefings Bioinform., 2022

Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving.

Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai

Briefings Bioinform., 2022

2021

Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density.

Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai

CoRR, 2021

Spectral Graph Partitioning Using Geodesic Distance-based Projection.

Yasunori Futamura, Ryota Wakaki, Tetsuya Sakurai

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace.

Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai

Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021

Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning.

Yasunori Futamura, Tetsuya Sakurai

Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021

2020

ESSEX: Equipping Sparse Solvers For Exascale.

Christie L. Alappat, Andreas Alvermann, Achim Basermann, Holger Fehske, Yasunori Futamura, Martin Galgon, Georg Hager, Sarah Huber, Akira Imakura, Masatoshi Kawai, Moritz Kreutzer, Bruno Lang, Kengo Nakajima, Melven Röhrig-Zöllner, Tetsuya Sakurai, Faisal Shahzad, Jonas Thies, Gerhard Wellein

Proceedings of the Software for Exascale Computing - SPPEXA 2016-2019, 2020

Efficient Vector Partitioning Algorithms for Graph Clustering.

Hiroaki Shiokawa, Yasunori Futamura

J. Data Intell., 2020

2018

Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks.

Akira Imakura, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura

Neural Process. Lett., 2018

Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems.

Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai

JSIAM Lett., 2018

Graph Clustering via Cohesiveness-aware Vector Partitioning.

Hiroaki Shiokawa, Yasunori Futamura

Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, 2018

2017

Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method.

Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono

Proceedings of the International Conference for High Performance Computing, 2017

Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems.

Akira Imakura, Yasunori Futamura, Tetsuya Sakurai

Proceedings of the Parallel Processing and Applied Mathematics, 2017

2016

Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks.

Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Filter analysis for the stochastic estimation of eigenvalue counts.

Yasuyuki Maeda, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai

JSIAM Lett., 2015

2014

Block conjugate gradient type methods for the approximation of bilinear form C^HA^-1B.

Lei Du, Yasunori Futamura, Tetsuya Sakurai

Comput. Math. Appl., 2014

2013

Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems.

Takahiro Yano, Yasunori Futamura, Tetsuya Sakurai

Proceedings of the Eighth International Conference on P2P, 2013

2012

Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations.

Yasunori Futamura, Tetsuya Sakurai, Shinnosuke Furuya, Jun-ichi Iwata

Proceedings of the High Performance Computing for Computational Science, 2012

2011

Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane.

Yasuyuki Maeda, Yasunori Futamura, Tetsuya Sakurai

JSIAM Lett., 2011

2010

Parallel stochastic estimation method of eigenvalue distribution.

Yasunori Futamura, Hiroto Tadano, Tetsuya Sakurai

JSIAM Lett., 2010