The neural process family: Survey, applications and perspectives

S Jha, D Gong, X Wang, RE Turner, L Yao - arXiv preprint arXiv …, 2022 - arxiv.org
The standard approaches to neural network implementation yield powerful function
approximation capabilities but are limited in their abilities to learn meta representations and …

Uncertainty estimation with neural processes for meta-continual learning

X Wang, L Yao, X Wang, HY Paik… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The ability to evaluate uncertainties in evolving data streams has become equally, if not
more, crucial than building a static predictor. For instance, during the pandemic, a model …

Spatial multi-attention conditional neural processes

LL Bao, JS Zhang, CX Zhang - Neural Networks, 2024 - Elsevier
Spatial prediction tasks are challenging when observed samples are sparse and prediction
samples are abundant. Gaussian processes (GPs) are commonly used in spatial prediction …