3 citations · 4 across the 6 of their papers we have counts for
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Slack-Free Deep-Unfolded Combinatorial Optimization Solver for Inequality Constraints
Ryo Hagiwara, Shunta Arai, Satoshi Takabe
Quantum annealing (QA) is used to solve combinatorial optimization problems (COPs). When COPs are implemented on quantum annealers, they are typically encoded as quadratic unconstr…
Physics-Aware Linearized ADMM and Its Unrolling
Satoshi Takabe, Shunta Arai, Tadashi Wadayama
Recently, partial differential equations (PDEs) have been used to directly model the measurement process in signal processing, although their evaluation is costly. In this paper, w…
Refined Gradient-Based Temperature Optimization for the Replica-Exchange Monte-Carlo Method
Tatsuya Miyata, Shunta Arai, Satoshi Takabe
The replica-exchange Monte-Carlo (RXMC) method is a powerful Markov-chain Monte-Carlo algorithm for sampling from multi-modal distributions, which are challenging for conventional…