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ORCIDYasunori Futamura
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2020 – today
- 2023
[j11]Momo Matsuda, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. Frontiers Comput. Sci. 17(1): 171310 (2023)- [c10]Changzhou Long
, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Quantum Algorithm for Regularized Spectral Clustering. ICMLC 2023: 5-11 - 2022
- [j10]Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai:
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Briefings Bioinform. 23(3) (2022) - [j9]Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin:
iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Briefings Bioinform. 23(5) (2022) - [j8]Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai:
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. Numer. Linear Algebra Appl. 29(6) (2022) - 2021
- [c9]Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia 2021: 83-89 - [c8]Yasunori Futamura, Tetsuya Sakurai:
Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning. HPC Asia 2021: 90-99 - [c7]Yasunori Futamura, Ryota Wakaki, Tetsuya Sakurai:
Spectral Graph Partitioning Using Geodesic Distance-based Projection. HPEC 2021: 1-7 - [i3]Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai:
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. CoRR abs/2112.05395 (2021) - 2020
- [j7]Hiroaki Shiokawa, Yasunori Futamura:
Efficient Vector Partitioning Algorithms for Graph Clustering. J. Data Intell. 1(2): 101-123 (2020) - [p1]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:
ESSEX: Equipping Sparse Solvers For Exascale. Software for Exascale Computing 2020: 143-187 - [i2]Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai:
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. CoRR abs/2010.10162 (2020)
2010 – 2019
- 2018
- [j6]Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. JSIAM Lett. 10: 77-80 (2018) - [j5]Akira Imakura, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura:
Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. Neural Process. Lett. 47(3): 815-827 (2018) - [c6]Hiroaki Shiokawa, Yasunori Futamura:
Graph Clustering via Cohesiveness-aware Vector Partitioning. iiWAS 2018: 33-40 - 2017
- [c5]Akira Imakura, Yasunori Futamura, Tetsuya Sakurai:
Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) 2017: 600-611 - [c4]Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono:
Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. SC 2017: 40 - 2016
- [c3]Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura:
Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. ICONIP (4) 2016: 354-362 - [i1]Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura:
Alternating optimization method based on nonnegative matrix factorizations for deep neural networks. CoRR abs/1605.04639 (2016) - 2015
- [j4]Yasuyuki Maeda, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai:
Filter analysis for the stochastic estimation of eigenvalue counts. JSIAM Lett. 7: 53-56 (2015) - 2014
- [j3]Lei Du, Yasunori Futamura, Tetsuya Sakurai:
Block conjugate gradient type methods for the approximation of bilinear form CHA-1B. Comput. Math. Appl. 66(12): 2446-2455 (2014) - 2013
- [c2]Takahiro Yano, Yasunori Futamura, Tetsuya Sakurai:
Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems. 3PGCIC 2013: 121-127 - 2012
- [c1]Yasunori Futamura, Tetsuya Sakurai, Shinnosuke Furuya, Jun-ichi Iwata:
Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations. VECPAR 2012: 226-235 - 2011
- [j2]Yasuyuki Maeda, Yasunori Futamura, Tetsuya Sakurai:
Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane. JSIAM Lett. 3: 61-64 (2011) - 2010
- [j1]Yasunori Futamura, Hiroto Tadano, Tetsuya Sakurai:
Parallel stochastic estimation method of eigenvalue distribution. JSIAM Lett. 2: 127-130 (2010)
Coauthor Index
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