Article-Journal

Graph neural networks with adaptive frequency response filter

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

Achieving Real-Time Spectrum Sharing in 5G Underlay Coexistence with Channel Uncertainty

Ursabench: Comprehensive benchmarking of approximate bayesian inference methods for deep neural networks

Exploring performance trade-offs in tactical edge networks

Better call surrogates: A hybrid evolutionary algorithm for hyperparameter optimization

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification

Are Graph Neural Networks Miscalibrated?

Uncertain context: Uncertainty quantification in machine learning

Attribution-driven causal analysis for detection of adversarial examples