11 citations
- Argonne National LaboratoryUS2 papers
- University of BolognaIT2 papers
- University of MichiganUS2 papers
- Aliments Bioprocédés Toxicologie Environnements1 paper
- American Australian AssociationUS1 paper
- Anna Needs Neuroblastoma AnswersUS1 paper
- Asia e UniversityMY1 paper
- B2 (Slovenia)SI1 paper
- B & BSI1 paper
- Boston UniversityUS1 paper
- British Society for Cell BiologyGB1 paper
- Brookhaven National LaboratoryUS1 paper
14 papers
Low-Complexity Neural Pursuit for Line Spectral Estimation
Chenchen Liu, Wenjun Jiang, Xiaojun Yuan
In this paper, we propose a high-precision yet low-complexity framework, termed Neural Pursuit for Line Spectral Estimation (NeuPLSE), for off-grid line spectral estimation from a…
An improved direct limit on the muon electric dipole moment
2 Collaboration, D. P. Aguillard, T. Albahri +192
A limit on the permanent electric dipole moment (EDM) of the positive muon is presented based on data from the Fermilab Muon g-2 Experiment taken between 2019 and 2020. The trackin…
Architecting Autonomy for Safe Microgravity Free-Flyer Inspection
Keenan Albee, David C. Sternberg, Alexander Hansson +3
Small free-flying spacecraft can provide vital extravehicular activity (EVA) services like inspection and repair for future orbital outposts like the Lunar Gateway. Operating adjac…
TabGRU: An Enhanced Design for Urban Rainfall Intensity Estimation Using Commercial Microwave Links
Xingwang Li, Mengyun Chen, Jiamou Liu +8
In the face of accelerating global urbanization and the increasing frequency of extreme weather events, highresolution urban rainfall monitoring is crucial for building resilient s…
Readout noise of digital frequency multiplexed TES detectors for CUPID
Michel Adamič, Joseph Camilleri, Chiara Capelli +10
Superconducting transition-edge sensor (TES) detectors have been the standard in Cosmic Microwave Background experiments for almost two decades and are now being adapted for use in…
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data
Sheng Lin, Fangcheng Fu, Haoyang Li +5
With the breakthrough of Transformer-based pre-trained models, the demand for fine-tuning (FT) to adapt the base pre-trained models to downstream applications continues to grow, so…