2 papers
cs.LG2025
Ultra-Efficient Decoding for End-to-End Neural Compression and Reconstruction
Ethan G. Rogers, Cheng Wang
Image compression and reconstruction are crucial for various digital applications. While contemporary neural compression methods achieve impressive compression rates, the adoption…
cs.AR2024
StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
Ethan G Rogers, Sohan Salahuddin Mugdho, Kshemal Kshemendra Gupte +1
Crossbar-based in-memory computing (IMC) has emerged as a promising platform for hardware acceleration of deep neural networks (DNNs). However, the energy and latency of IMC system…