[snthpy]

Thanks. Looks very interesting!

My main observation just looking at your example pictures is that its closest competitor is Gaussian Processes which I've long been a fan of.

Just looking at those pictures it looks like GP and TabPFN are very similar where there is data but TabPFN is more happy to extrapolate while GP is localised around the data (look at the top row for example).

I can't decide whether that's a feature or a bug. I guess it's good to have a choice whether you want to show that you're uncertain in regions where you've never seen data before or be able to extrapolate on what you have seen.

[ersiees]

Yeah, we also find this interesting. Arguably, though, GP is far worse in all metrics. Thus, it is not really our closest competition.

[snthpy]

I'd be interested to hear what you see as your closest competition?