2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AR2025
Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices
Dongho Yoon, Gungyu Lee, Jaewon Chang +3
Transformers have proven effective in language modeling but are limited by high computational and memory demands that grow quadratically with input sequence length. State space mod…
cs.AR2022★ 2 cited
DiVa: An Accelerator for Differentially Private Machine Learning
Beomsik Park, Ranggi Hwang, Dongho Yoon +2
The widespread deployment of machine learning (ML) is raising serious concerns on protecting the privacy of users who contributed to the collection of training data. Differential p…