3.2k citations
- Thomas Jefferson National Accelerator FacilityUS783 papers
- William & MaryUS420 papers
- Argonne National LaboratoryUS366 papers
- University of VirginiaUS364 papers
- Massachusetts Institute of TechnologyUS357 papers
- Florida International UniversityUS339 papers
- A. Alikhanyan National LaboratoryAM306 papers
- University of New HampshireUS285 papers
- Norfolk State UniversityUS284 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR264 papers
- George Washington UniversityUS262 papers
- Florida State UniversityUS257 papers
1,261 papers
Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion
Jitao Xu, Christopher Cocuzza, Kevin Braga +3
Extracting transverse momentum dependent parton distribution functions (TMD PDFs) from semi-inclusive deep inelastic scattering (SIDIS) data is a central goal of the nucleon struct…
Characterizing an inverse Compton X-ray source and determining its electron beam parameters using a genetic algorithm
Johannes Melcher, Jen-Fu Tu, Balša Terzić +5
Inverse Compton X-ray sources are laboratory-scale devices providing quasi-monochromatic synchrotron radiation which is generated by laser photons Compton-scattering off highly rel…
Fault Tolerance of Accelerated Asynchronous Fixed-Point Iterations on Flexible Computing Infrastructure
Evan Coleman, Masha Sosonkina
Asynchronous iterative methods tolerate straggling processors by allowing workers to proceed with stale data, but at a cost: the iterates become inconsistent, potentially degrading…
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
Joseph G. Zalameda, Megan A. Witherow, Alexander M. Glandon +2
Machine learning models trained on small data sets for security applications are especially vulnerable to adversarial attacks. Person identification from LiDAR based skeleton data…
Cognitive Prosthetic: An AI-Enabled Multimodal System for Episodic Recall in Knowledge Work
Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Vikas Ashok +2
Modern knowledge workplaces increasingly strain human episodic memory as individuals navigate fragmented attention, overlapping meetings, and multimodal information streams. Existi…
ZEUS: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation
Dominik Soos, Marc Paterno, Desh Ranjan +1
We introduce a novel, efficient computational method, ZEUS, for numerical optimization, and provide an open-source implementation. It has four key ingredients: (1) particle swarm o…