Here's my overview of flow map training methods. More details in the blog post!
Diffusion models have analytical solutions, but they involve sums over the entire training set, and they don't generalise at all. They are mainly useful to help us understand how practical diffusion models generalise.
Nice blog + code by Raymond Fan: rfangit.github.io/blog/2025/op...
The Creative AI track (formerly Machine Learning for Creativity and Design) at @neuripsconf.bsky.social has always been a home for interdisciplinarity. As its co-chair, I invite research and artworks exploring and critiquing of ML in art, design, and creative practice.
neurips.cc/Conferences/...
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Sander Dieleman
Hello #ICML2025👋, anyone up for a diffusion circle? We'll just sit down somewhere and talk shop.
🕒Join us at 3PM on Thursday July 17. We'll meet here (see photo, near the west building's west entrance), and venture out from there to find a good spot to sit. Tell your friends!
... also very honoured and grateful to see my blog linked in the video description! 🥹🙏🙇
Great blog post on rotary position embeddings (RoPE) in more than one dimension, with interactive visualisations, a bunch of experimental results, and code!
