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Koby Hayashi
Koby Hayashi
Software Engineer, PNNL
Email verificata su pnnl.gov - Home page
Titolo
Citata da
Citata da
Anno
Hypergraph random walks, laplacians, and clustering
K Hayashi, SG Aksoy, CH Park, H Park
Proceedings of the 29th acm international conference on information …, 2020
582020
Dynamic functional connectivity and individual differences in emotions during social stress
MJ Tobia, K Hayashi, G Ballard, IH Gotlib, CE Waugh
Human brain mapping 38 (12), 6185-6205, 2017
562017
Shared-memory parallelization of MTTKRP for dense tensors
K Hayashi, G Ballard, Y Jiang, MJ Tobia
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018
352018
Parallel nonnegative CP decomposition of dense tensors
G Ballard, K Hayashi, K Ramakrishnan
2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018
302018
PLANC: Parallel low-rank approximation with nonnegativity constraints
S Eswar, K Hayashi, G Ballard, R Kannan, MA Matheson, H Park
ACM Transactions on Mathematical Software (TOMS) 47 (3), 1-37, 2021
152021
Distributed-memory parallel symmetric nonnegative matrix factorization
S Eswar, K Hayashi, G Ballard, R Kannan, R Vuduc, H Park
SC20: International Conference for High Performance Computing, Networking …, 2020
82020
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs
K Hayashi, SG Aksoy, H Park
2022 IEEE International Conference on Big Data (Big Data), 2022
42022
Distributed-Memory Parallel JointNMF
S Eswar, B Cobb, K Hayashi, R Kannan, G Ballard, R Vuduc, H Park
Proceedings of the 37th International Conference on Supercomputing, 301-312, 2023
22023
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
K Hayashi, SG Aksoy, G Ballard, H Park
arXiv preprint arXiv:2402.08134, 2024
12024
On Rank Selection for Nonnegative Matrix Factorization
S Eswar, K Hayashi, B Cobb, R Kannan, G Ballard, R Vuduc, H Park
2024 IEEE International Conference on Big Data (BigData), 1294-1301, 2024
2024
Speeding Up Nonnegative Low-Rank Approximations: Parallelism and Randomization
K Hayashi
The Georgia Institute of Technology, 2024
2024
On the accuracy and efficiency of approximate triangle counting via randomized numerical linear algebra
IS Muñoz, K Hayashi, R Vuduc
2024
Parallel Algorithms for Computing and Applications of the Dense Canonical Polyadic Decomposition
KB Hayashi
Wake Forest University, 2018
2018
Hypergraph random walks, Laplacians, and clustering
SG Aksoy, K Hayashi, C Park, H Park
2020 Fall Western Virtual Sectional Meeting, 0
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Articoli 1–14