571 citations · 2.8k across the 60 of their papers we have counts for
76 papers
Efficient CMOS Invertible Logic Using Stochastic Computing
Sean C. Smithson, Naoya Onizawa, Brett H. Meyer +2
Invertible logic can operate in one of two modes: 1) a forward mode, in which inputs are presented and a single, correct output is produced, and 2) a reverse mode, in which the out…
Analog-to-Stochastic Converter Using Magnetic Tunnel Junction Devices for Vision Chips
Naoya Onizawa, Daisaku Katagiri, Warren J. Gross +1
This paper introduces an analog-to-stochastic converter using a magnetic tunnel junction (MTJ) device for vision chips based on stochastic computation. Stochastic computation has b…
Step-GRAND: A Low Latency Universal Soft-input Decoder
Syed Mohsin Abbas, Marwan Jalaleddine, Chi-Ying Tsui +1
GRAND features both soft-input and hard-input variants that are well suited to efficient hardware implementations that can be characterized with achievable average and worst-case d…
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…
Efficient Fine-Tuning of Compressed Language Models with Learners
Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard +3
Fine-tuning BERT-based models is resource-intensive in memory, computation, and time. While many prior works aim to improve inference efficiency via compression techniques, e.g., p…
Efficient Fine-Tuning of BERT Models on the Edge
Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard +3
Resource-constrained devices are increasingly the deployment targets of machine learning applications. Static models, however, do not always suffice for dynamic environments. On-de…