Luke McDermott

According to our database, Luke McDermott authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

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