Luke McDermott

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Finding Stable Subnetworks at Initialization with Dataset Distillation.
CoRR
Luke McDermott, Rahul Parhi
2025 J jnl
LoLA: Low-Rank Linear Attention With Sparse Caching.
CoRR
Luke McDermott, Robert W. Heath Jr., Rahul Parhi
2025 J jnl
Neural Architecture Codesign for Fast Physics Applications.
CoRR
Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier M. Duarte
2025 J jnl
Neural architecture codesign for fast physics applications.
Mach. Learn. Sci. Technol.
Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier M. Duarte
2024 J jnl
Embedding Compression for Efficient Re-Identification.
CoRR
Luke McDermott
2023 J jnl
A Generalization of Continuous Relaxation in Structured Pruning.
CoRR
Brad Larson, Bishal Upadhyaya, Luke McDermott, Siddha Ganju
2023 J jnl
Distilled Pruning: Using Synthetic Data to Win the Lottery.
CoRR
Luke McDermott, Daniel Cummings
2023 J jnl
GraFT: Gradual Fusion Transformer for Multimodal Re-Identification.
CoRR
Haoli Yin, Jiayao Li, Eva Schiller, Luke McDermott, Daniel Cummings
2023 J jnl
Linear Mode Connectivity in Sparse Neural Networks.
CoRR
Luke McDermott, Daniel Cummings
2023 J jnl
Neural Architecture Codesign for Fast Bragg Peak Analysis.
CoRR
Luke McDermott, Jason Weitz, Dmitri Demler, Daniel Cummings, Nhan Tran, Javier M. Duarte
2023 J jnl
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification.
CoRR
Jennifer Crawford, Haoli Yin, Luke McDermott, Daniel Cummings