Machine learning (ML)-based weather models have recently undergone rapid
improvements. These models are typically trained on gridded reanalysis data from …

The optimal placement of sensors for environmental monitoring and disaster management is
a challenging problem due to its NP-hard nature. Traditional methods for sensor placement …

Abstract Convolutional Conditional Neural Processes (ConvCNPs) are recently developed,
flexible, scalable, deep-learning-based spatiotemporal models that produce well-adjusted …