| Neural Architecture Codesign for Fast Bragg Peak Analysis L McDermott, J Weitz, D Demler, D Cummings, N Tran, J Duarte AAAI 2024's Workshop on AI for Accelerating Science & Engineering (Accepted …, 2023 | | 2023 |
| UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification J Crawford, H Yin, L McDermott, D Cummings NeurIPS 2023 UniReps Workshop, 2023 | | 2023 |
| Linear Mode Connectivity in Sparse Neural Networks L McDermott, D Cummings NeurIPS 2023 UniReps Workshop, 2023 | | 2023 |
| GraFT: Gradual Fusion Transformer for Multimodal Re-Identification H Yin, J Li, E Schiller, L McDermott, D Cummings arXiv preprint arXiv:2310.16856, 2023 | | 2023 |
| On Synthetic Data and Iterative Magnitude Pruning: a Linear Mode Connectivity Study L McDermott, D Cummings | | 2023 |
| A Generalization of Continuous Relaxation in Structured Pruning B Larson, B Upadhyaya, L McDermott, S Ganju arXiv preprint arXiv:2308.14605, 2023 | | 2023 |
| Distilled Pruning: Using Synthetic Data to Win the Lottery L McDermott, D Cummings AutoML 2023 Workshop Track, 2023 | | 2023 |
| Identifying Ultracool Binary Systems using Machine Learning Methods M Desai, JD Draxl Giannoni, C Dunning, L McDermott, C Aganze, ... Research Notes of the AAS 7 (1), 13, 2023 | | 2023 |
Daniel CummingsIntel CorporationVerified email at intel.com
