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 ❤️

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 😍

Two very interesting papers on identifiably (provably) recovering "true"/unique latent states + dynamics / time-evolution from high-dimensional data in ICLR2025:

1. VAE + nonlinear ICA-style aux variables
openreview.net/forum?id=d16...
2. Contrastive learning
openreview.net/forum?id=ONf...

Basic idea of #DeepSeek R1, the new RL LLM model:

Start from a pretrained LLM, sample K responses for tasks (e.g., LeetCode problems with N tests). Update weights to favor better-than-average responses, as the true correct code is unknown. Also, reward correct output format.

#LLM #genAI #RL

Interested to see if a proper academic bsky will happen! The amount of great papers and memes I found on Twitter made me stick to it this long, but definitely something new would be nice.

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!