Koby Hayashi

According to our database, Koby Hayashi authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains.

Sarthak Chaturvedi, Anurag Acharya, Rounak Meyur, Koby Hayashi, Sai Munikoti, Sameera Horawalavithana

CoRR, June, 2025

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization.

Koby Hayashi, Sinan G. Aksoy, Grey Ballard, Haesun Park

SIAM J. Matrix Anal. Appl., 2025

2024

Speeding up nonnegative low-rank approximation: Parallelism and Randomization.

Koby Hayashi

PhD thesis, 2024

On Rank Selection for Nonnegative Matrix Factorization.

Srinivas Eswar, Koby Hayashi, Benjamin Cobb, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park

Proceedings of the IEEE International Conference on Big Data, 2024

2023

AminerMag X Dataset.

Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Rich Vuduc, Haesun Park

Dataset, June, 2023

AminerMag S Dataset.

Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Rich Vuduc, Haesun Park

Dataset, June, 2023

Distributed-Memory Parallel JointNMF.

Srinivas Eswar, Benjamin Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs.

Koby Hayashi, Sinan G. Aksoy, Haesun Park

Proceedings of the IEEE International Conference on Big Data, 2022

2021

PLANC: Parallel Low-rank Approximation with Nonnegativity Constraints.

Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park

ACM Trans. Math. Softw., 2021

2020

Distributed-memory parallel symmetric nonnegative matrix factorization.

Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Richard W. Vuduc, Haesun Park

Proceedings of the International Conference for High Performance Computing, 2020

Hypergraph Random Walks, Laplacians, and Clustering.

Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

PLANC: Parallel Low Rank Approximation with Non-negativity Constraints.

Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park

CoRR, 2019

2018

Shared-memory parallelization of MTTKRP for dense tensors.

Koby Hayashi, Grey Ballard, Yujie Jiang, Michael J. Tobia

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

Parallel Nonnegative CP Decomposition of Dense Tensors.

Grey Ballard, Koby Hayashi, Ramakrishnan Kannan

Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

2017

Shared Memory Parallelization of MTTKRP for Dense Tensors.

Koby Hayashi, Grey Ballard, Jeffrey Jiang, Michael J. Tobia

CoRR, 2017