iMAGiNE Student Spotlights

Dan Jacobellis
Lossy Compression for Machines

Natalia Frumkin
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers 

Benjamin Ghaemmaghami
Shrink and Scatter: Improving efficiency of Recommendation Models

Guihong Li 
Machine Unlearning for Image-to-Image Generative Models [ICLR 2024]

Zhenyu Zhang
Efficient Generative Inference by Heavy Hitters and Beyond

Rui Ma
Automatically Specialized FPGA Overlays 

Rishabh Sehgal
Compute-MLROM: Compute-in-Multi Level Read Only Memory for Energy Efficient Edge AI Inference Engines

Endri Taka
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine

James Boyle
Performance and Energy Simulation of Spiking Neuromorphic Architectures for Fast Exploration