3 papers
cs.AI2026
Bonsai: A Framework for Convolutional Neural Network Acceleration Using Criterion-Based Pruning
Joseph Bingham, Sam Helmich
As the need for more accurate and powerful Convolutional Neural Networks (CNNs) increases, so too does the size, execution time, memory footprint, and power consumption. To overcom…
cs.NE2026
Fine-Pruning: A Biologically Inspired Algorithm for Personalization of Machine Learning Models
Joseph Bingham, Saman Zonouz, Dvir Aran
Neural networks have long strived to emulate the learning capabilities of the human brain. While deep neural networks (DNNs) draw inspiration from the brain in neuron design, their…
cs.LG2026
Guide-Guard: Off-Target Predicting in CRISPR Applications
Joseph Bingham, Netanel Arussy, Saman Zonouz
With the introduction of cyber-physical genome sequencing and editing technologies, such as CRISPR, researchers can more easily access tools to investigate and create remedies for…