2 papers
cs.LG2026
PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution
Omkar Shende, Gayathri Ananthanarayanan, Marcello Traiola
Deep neural networks (DNNs) are widely used for their ability to model complex patterns across domains such as computer vision, speech recognition, and robotics. However, larger mo…
cs.LG2026
AxMoE: Characterizing the Impact of Approximate Multipliers on Mixture-of-Experts DNN Architectures
Omkar B Shende, Marcello Traiola, Gayathri Ananthanarayanan
Deep neural network (DNN) inference at the edge demands simultaneous improvements in accuracy, computational efficiency, and energy consumption. Approximate computing and Mixture-o…