3 citations · 4 across the 8 of their papers we have counts for
4 papers · 2 filters
Bayesian Neural Networks: A Min-Max Game Framework
Junping Hong, Ercan Engin Kuruoglu
In deep learning, Bayesian neural networks (BNN) provide the role of robustness analysis, and the minimax method is used to be a conservative choice in the traditional Bayesian fie…
LLM Online Spatial-temporal Signal Reconstruction Under Noise
Yi Yan, Dayu Qin, Ercan Engin Kuruoglu
This work introduces the LLM Online Spatial-temporal Reconstruction (LLM-OSR) framework, which integrates Graph Signal Processing (GSP) and Large Language Models (LLMs) for online…
Adaptive Least Mean pth Power Graph Neural Networks
Yi Yan, Changran Peng, Ercan E. Kuruoglu
In the presence of impulsive noise, and missing observations, accurate online prediction of time-varying graph signals poses a crucial challenge in numerous application domains. We…
Binarized Simplicial Convolutional Neural Networks
Yi Yan, Ercan E. Kuruoglu
Graph Neural Networks have a limitation of solely processing features on graph nodes, neglecting data on high-dimensional structures such as edges and triangles. Simplicial Convolu…