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2020 – today
- 2025
[i8]Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier M. Duarte:
Neural Architecture Codesign for Fast Physics Applications. CoRR abs/2501.05515 (2025)- 2024
- [i7]Luke McDermott:
Embedding Compression for Efficient Re-Identification. CoRR abs/2405.14730 (2024) - 2023
- [i6]Luke McDermott, Daniel Cummings:
Distilled Pruning: Using Synthetic Data to Win the Lottery. CoRR abs/2307.03364 (2023) - [i5]Brad Larson, Bishal Upadhyaya, Luke McDermott, Siddha Ganju:
A Generalization of Continuous Relaxation in Structured Pruning. CoRR abs/2308.14605 (2023) - [i4]Haoli Yin, Jiayao Li, Eva Schiller, Luke McDermott, Daniel Cummings:
GraFT: Gradual Fusion Transformer for Multimodal Re-Identification. CoRR abs/2310.16856 (2023) - [i3]Luke McDermott, Daniel Cummings:
Linear Mode Connectivity in Sparse Neural Networks. CoRR abs/2310.18769 (2023) - [i2]Jennifer Crawford, Haoli Yin, Luke McDermott, Daniel Cummings:
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification. CoRR abs/2310.18812 (2023) - [i1]Luke McDermott, Jason Weitz, Dmitri Demler, Daniel Cummings, Nhan Tran, Javier M. Duarte:
Neural Architecture Codesign for Fast Bragg Peak Analysis. CoRR abs/2312.05978 (2023)
Coauthor Index
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