Keiichiro Yamamura

According to our database, Keiichiro Yamamura authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Automated Tabu Tenure Tuning by Trajectory Metrics for Quadratic Unconstrained Binary Optimization.

Masahiko Sugimura, Keiichiro Yamamura, Hiroki Ishikura, Akihiro Yoshida, Ken Kawano, Matthieu Parizy, Katsuki Fujisawa

J. Heuristics, March, 2026

QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision-Language Models.

Akihiro Yoshida, Keiichiro Yamamura, Hiroki Ishikura, Shinjiro Hirai, Ken Kawano, Yoshihiko Fujisawa, Katsuki Fujisawa

Proceedings of the Quantum Computing and Artificial Intelligence, 2026

2025

Enhancing Quantum-ready QUBO-based Suppression for Object Detection with Appearance and Confidence Features.

Keiichiro Yamamura, Toru Mitsutake, Hiroki Ishikura, Daiki Kusuhara, Akihiro Yoshida, Katsuki Fujisawa

CoRR, February, 2025

2024

Appropriate Balance of Diversification and Intensification Improves Performance and Efficiency of Adversarial Attacks.

Keiichiro Yamamura, Issa Oe, Nozomi Hata, Hiroki Ishikura, Katsuki Fujisawa

Trans. Mach. Learn. Res., 2024

Doubling Graph Traversal Efficiency to 198 TeraTEPS on the Supercomputer Fugaku.

Junya Arai, Masahiro Nakao, Yuto Inoue, Kanto Teranishi, Koji Ueno, Keiichiro Yamamura, Mitsuhisa Sato, Katsuki Fujisawa

Proceedings of the International Conference for High Performance Computing, 2024

Enhancing Output Diversity Improves Conjugate Gradient-Based Adversarial Attacks.

Keiichiro Yamamura, Issa Oe, Hiroki Ishikura, Katsuki Fujisawa

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

2023

Superpixel Attack - Enhancing Black-Box Adversarial Attack with Image-Driven Division Areas.

Issa Oe, Keiichiro Yamamura, Hiroki Ishikura, Ryo Hamahira, Katsuki Fujisawa

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Diversified Adversarial Attacks based on Conjugate Gradient Method.

Keiichiro Yamamura, Haruki Sato, Nariaki Tateiwa, Nozomi Hata, Toru Mitsutake, Issa Oe, Hiroki Ishikura, Katsuki Fujisawa

Proceedings of the International Conference on Machine Learning, 2022

Development and Evaluation of Embedding Methods for Graphs with Multi Attributes.

Miyu Fujii, David Taingngin, Keiichiro Yamamura, Nozomi Hata, Hiroki Kai, Ryuji Noda, Hiroki Ishikura, Tatsuru Higurashi, Katsuki Fujisawa

Proceedings of the IEEE International Conference on Big Data, 2022

2021

CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems.

Nariaki Tateiwa, Yuji Shinano, Keiichiro Yamamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, Katsuki Fujisawa

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021