2025
Gridded Transformer Neural Processes for Spatio-Temporal Data
ICML 2025spotlight
Effective modelling of large-scale spatio-temporal datasets is essential for many domains, yet existing approaches often impose rigid constraints on the input data, such as requiring them to lie on fixed-resolution grids. With the rise of foundation models, the ability to process diverse, heterogene…