This one looks way too AI slop'y, but somehow I like the full story.

This one explains the masking process quite well, unfortunately the powerplant segment is a bit unclear.

Infograph of my previous paper.

Generated via Nano Banana Pro. These models are getting quite useful! I think it has genuinely good explanations. Maybe I would've opted for a bit less "AI does this and that", and there are some small mistakes, but not too much to distract from the main message.

Just received the first volume, and damn, clearly a ton of effort was put into it!

There's a ~90 page intro to "foundations of complexity science" (which is also sold separately).

(The super interesting) papers each have a 5-10 page intro with historical context, and are full of annotations ❤️

Ok, heh, well, partially the reason for the \infty in there is because the simulator got stuck in a non-chaotic loop due to integration errors. Grabbing the samples before the looping just gives a more uniform distribution

I was out of curiosity scatter plotting a double pendulum's x1/y1/x2/y2 positions in euclidean coordinates against each other.... Turns out they are sooo aesthetic 😍

Hi, lets try bsky!

New paper: Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders

Code/data/paper: github.com/helsinki-sda...

Presented at European Conference on Artificial Intelligence 2024

Map graph learned from weather #timeseries, adjacency from 7 engines!