Hierarchical

In this text, I'll introduce you to hierarchical Bayesian (HB) modelling, a versatile approach to mechanically mix the outcomes of multiple sub-models. This method enables estimation of individual-level effects by optimally combining information across...

A beginner’s guide to forecast reconciliationNote: I generated the info myself.Along with the person sales, we even have the aggregated sales for all cat food products, all pet food products, and all products. We...

Contrastive models like CLIP have been shown to learn robust representations of images that capture each semantics and magnificence. To leverage these representations for image generation, we propose a two-stage model: a previous that...