Luke McDermott

According to our database, Luke McDermott authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LoLA: Low-Rank Linear Attention With Sparse Caching.

Luke McDermott, Robert W. Heath Jr., Rahul Parhi

CoRR, May, 2025

Finding Stable Subnetworks at Initialization with Dataset Distillation.

Luke McDermott, Rahul Parhi

CoRR, March, 2025

Neural Architecture Codesign for Fast Physics Applications.

Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier M. Duarte

CoRR, January, 2025

2024

Embedding Compression for Efficient Re-Identification.

Luke McDermott

CoRR, 2024

2023

Neural Architecture Codesign for Fast Bragg Peak Analysis.

Luke McDermott, Jason Weitz, Dmitri Demler, Daniel Cummings, Nhan Tran, Javier M. Duarte

CoRR, 2023

UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification.

Jennifer Crawford, Haoli Yin, Luke McDermott, Daniel Cummings

CoRR, 2023

Linear Mode Connectivity in Sparse Neural Networks.

Luke McDermott, Daniel Cummings

CoRR, 2023

GraFT: Gradual Fusion Transformer for Multimodal Re-Identification.

Haoli Yin, Jiayao Li, Eva Schiller, Luke McDermott, Daniel Cummings

CoRR, 2023

A Generalization of Continuous Relaxation in Structured Pruning.

Brad Larson, Bishal Upadhyaya, Luke McDermott, Siddha Ganju

CoRR, 2023

Distilled Pruning: Using Synthetic Data to Win the Lottery.

Luke McDermott, Daniel Cummings

CoRR, 2023