Local Energy Distribution Based Hyperparameter Determination for Stochastic Simulated Annealing

1 code implementation • 24 Apr 2023 • Naoya Onizawa, Kyo Kuroki, Duckgyu Shin, Takahiro Hanyu

This paper presents a local energy distribution based hyperparameter determination for stochastic simulated annealing (SSA).

Combinatorial Optimization

VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing

no code implementations • 29 Sep 2015 • Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross

We also synthesize the circuits in a 65 nm CMOS technology and we show that the proposed integral stochastic architecture results in up to 21% reduction in energy consumption compared to the binary radix implementation at the same misclassification rate.

Associative Memories Based on Multiple-Valued Sparse Clustered Networks

no code implementations • 3 Feb 2014 • Hooman Jarollahi, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross

Associative memories are structures that store data patterns and retrieve them given partial inputs.

Retrieval