nextfx

Another case of moving the goalposts until you score a goal.

I'm not an expert on MCMC for BNNs by any means, but even with small networks I think it's a little tricky to get right. If my memory serves me right, this paper[1] focuses on small networks and goes over the issues and how to get around them.

[1]: https://arxiv.org/abs/2402.01484

MCMC is AFAIU overly prohibitive for neural networks. If you are interested in incorporating uncertainty awareness and improving calibration of your neural net classifiers in a somewhat scalable manner, I think linearized Laplace is a good place to look. I'd suggest you look at `laplace-torch` [1], it's an easy way of doing that.

[1]: https://aleximmer.github.io/Laplace/

I've been using mksquashfs to make full-system backups lately, but had to resort to using unsquashfs for recovering files. This combined with squashfuse might come in handy.

I assume the name is referring to the Nyström low-rank matrix approximation.

Is there a way of doing NAT hole-punching with Wireguard?