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20132026
most citedVLSI Implementation of Deep Neural Network Using Integral Stochastic Computing

260 citations · 468 across the 20 of their papers we have counts for

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cs.LG2023★ 9 cited

Local Energy Distribution Based Hyperparameter Determination for Stochastic Simulated Annealing

Naoya Onizawa, Kyo Kuroki, Duckgyu Shin +1

This paper presents a local energy distribution based hyperparameter determination for stochastic simulated annealing (SSA). SSA is capable of solving combinatorial optimization pr…

quant-ph2023★ 7 cited

Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems

Naoya Onizawa, Ryoma Sasaki, Duckgyu Shin +2

In this paper, we introduce stochastic simulated quantum annealing (SSQA) for large-scale combinatorial optimization problems. SSQA is designed based on stochastic computing and qu…