There was some hype around neural processes which seem like a marriage between non-parametric models like GPs and NN but have not heard anything about them recently.
Have they been superseded by something else? I have some spatio temporal data that I am looking to play with and wonder if this is a good way to dive into them but want to convince myself that they are still a somewhat relevant family of models to spend time on.
I don’t know if neural processes were superceeded, but I have used them in work before successfully. I think there are other approaches to combining ideas from GPs with neural networks, not sure what the state of things is right now.
Last I checked there was a family of similar models so you should look there, particularly around the few shot / meta-learning problems that neural processes were created for.