97 citations
- Virginia TechUS3 papers
- Argonne National LaboratoryUS2 papers
- IBM (United States)US2 papers
- Lawrence Livermore National LaboratoryUS2 papers
- Los Alamos National LaboratoryUS2 papers
- University of ChicagoUS2 papers
- Amazon (United States)US1 paper
- Amgen (United States)US1 paper
- Apple (United States)US1 paper
- Argonne Leadership Computing Facility1 paper
- Arizona State UniversityUS1 paper
- Association of Research LibrariesUS1 paper
Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 34 cited
Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis
Ying Wang, Shashank Jere, Soumya Banerjee +3
Jamming and intrusion detection are critical in 5G research, aiming to maintain reliability, prevent user experience degradation, and avoid infrastructure failure. This paper intro…
quant-ph2023★ 4 cited
Scoring Anomalous Vertices Through Quantum Walks
Andrew Vlasic, Anh Pham
With the constant flow of data from vast sources over the past decades, a plethora of advanced analytical techniques have been developed to extract relevant information from differ…
quant-ph2023★ 2 cited
Conditional Generative Models for Learning Stochastic Processes
Salvatore Certo, Anh Pham, Nicolas Robles +1
A framework to learn a multi-modal distribution is proposed, denoted as the Conditional Quantum Generative Adversarial Network (C-qGAN). The neural network structure is strictly wi…