15 citations · 22 across the 6 of their papers we have counts for
8 papers
Co-occurrence-Aware Quadratic Assignment for Local Feature Matching in Simultaneous Localization and Mapping
Yutaka Yamada, Yohei Hamakawa, Yutaro Ishigaki +2
Local feature matching, which associates keypoints in two images as keypoint pairs, is fundamental to Visual Simultaneous Localization and Mapping (Visual SLAM). Nearest Neighbor (…
Decomposition of Multi-Qubit Gates for Circuit Cutting
Ryota Tamura, Tomoya Kashimata, Yohei Hamakawa +2
A large-scale quantum circuit can be partitioned into multiple subcircuits through circuit cutting, where each subcircuit is executed multiple times and the expectation value of th…
Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines
Tomoya Kashimata, Yohei Hamakawa, Masaya Yamasaki +1
Many real-time systems require the optimization of discrete variables. Black-box optimization (BBO) algorithms and multi-armed bandit (MAB) algorithms perform optimization by repea…
Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
Yohei Hamakawa, Tomoya Kashimata, Masaya Yamasaki +1
Quantum or quantum-inspired Ising machines have recently shown promise in solving combinatorial optimization problems in a short time. Real-world applications, such as time divisio…
Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines
Kosuke Tatsumura, Yohei Hamakawa, Masaya Yamasaki +2
A cognitive function of tracking multiple objects, needed in autonomous mobile vehicles, comprises object detection and their temporal association. While great progress owing to ma…
Collaborative filtering based on nonnegative/binary matrix factorization
Yukino Terui, Yuka Inoue, Yohei Hamakawa +2
Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unra…
Correlation-diversified portfolio construction by finding maximum independent set in large-scale market graph
Ryo Hidaka, Yohei Hamakawa, Jun Nakayama +1
Correlation-diversified portfolios can be constructed by finding the maximum independent sets (MISs) in market graphs with edges corresponding to correlations between two stocks. T…
Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD
Kosuke Haruki, Taiji Suzuki, Yohei Hamakawa +4
Large-batch stochastic gradient descent (SGD) is widely used for training in distributed deep learning because of its training-time efficiency, however, extremely large-batch SGD l…