3 citations · 4 across the 11 of their papers we have counts for
3 papers · 1 filter
Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision
Rick Luiken, Manil Dev Gomony, Sander Stuijk
Convolutional Spiking Neural Networks (SNN) offer the potential for highly energy-efficient vision processing by exploiting sparse, event-driven computation. However, existing SNN…
CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration
Bas Ahn, Xingjian Tao, Manil Dev Gomony +2
Large Language Models (LLMs) such as LLaMA and DeepSeek, are built on transformer architectures, which have become a standard model for achieving state-of-the-art performance in na…
LOREN: Low Rank-Based Code-Rate Adaptation in Neural Receivers
Bram Van Bolderik, Vlado Menkovski, Sonia Heemstra de Groot +1
Neural network based receivers have recently demonstrated superior system-level performance compared to traditional receivers. However, their practicality is limited by high memory…