Teemu Sarapisto @tsarpf.bsky.social · 23/11/2025This one looks way too AI slop'y, but somehow I like the full story. 000
Teemu Sarapisto @tsarpf.bsky.social · 23/11/2025This one explains the masking process quite well, unfortunately the powerplant segment is a bit unclear. 100
Teemu Sarapisto @tsarpf.bsky.social · 23/11/2025Infograph 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. 210
Teemu Sarapisto @tsarpf.bsky.social · 28/03/2025Just 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 ❤️ 1122
Teemu Sarapisto @tsarpf.bsky.social · 20/03/2025Ok, 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 000
Teemu Sarapisto @tsarpf.bsky.social · 20/03/2025I 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 😍 130
Teemu Sarapisto @tsarpf.bsky.social · 22/11/2024Hi, 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! 020