Compressed Inference

Compressed Inference

Compressed Inference applies compressed sensing theory to GPU-accelerated medical imaging. The project develops efficient reconstruction algorithms that recover high-quality images from fewer measurements, bringing advanced imaging capabilities to resource-constrained clinical settings.

Model Card



Posters


Efficient Neural Network Inference via Structured Pruning on Edge Devices

MPCR Poster Session · Spring 2026


Team