3 papers
cond-mat.dis-nn2025
Improving deep neural network performance through sampling
Lakshmi A. Ghantasala, Ming-Che Li, Risi Jaiswal +4
Energy efficient sampling with probabilistic neurons or p-bits has been demonstrated in the context of Boltzmann machines and it is natural to ask if these approaches can be extend…
cs.ET2025
Design-Space Exploration of Distributed Neural Networks in Low-Power Wearable Nodes
Meghna Roy Chowdhury, Ming-che Li, Archisman Ghosh +2
Wearable devices are revolutionizing personal technology, but their usability is often hindered by frequent charging due to high power consumption. This paper introduces Distribute…
eess.IV2024
Approximate DCT and Quantization Techniques for Energy-Constrained Image Sensors
Ming-Che Li, Archisman Ghosh, Shreyas Sen
Recent expansions in multimedia devices gather enormous amounts of real-time images for processing and inference. The images are first compressed using compression schemes, like JP…