activity
20192026
most citedHardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks

17 citations · 26 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.LG2024

CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning

Marco Paul E. Apolinario, Sakshi Choudhary, Kaushik Roy

Continual learning (CL) - the ability to progressively acquire and integrate new concepts - is essential to intelligent systems to adapt to dynamic environments. However, deep neur…

cs.NE2024★ 1 cited

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization

Marco Paul E. Apolinario, Arani Roy, Kaushik Roy

Training deep neural networks (DNNs) using traditional backpropagation (BP) presents challenges in terms of computational complexity and energy consumption, particularly for on-dev…