In October, I gave a talk at ML in PL in Warsaw: a whirlwind tour of what goes into training image and video generation models at scale.
📺 video: www.youtube.com/watch?v=qFIT...
🖼️ slides: docs.google.com/presentation...
My first blog post in over a year is a deep dive on flow maps🗺️, or how to learn the integral of a diffusion model to enable faster sampling and several other cool tricks.
It's the longest one yet👀 Let me know what you think!
sander.ai/2026/05/06/f...
This subject requires a bit more math than I'm usually comfortable with for my blog posts, so I've tried to counterbalance it with animal GIFs🤷
Come learn about flow maps with Compositional Dog🐶, Lagrangian Cat🐱 and Eulerian Chicken🐔!
Here's my overview of flow map training methods. More details in the blog post!
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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Great blog post on rotary position embeddings (RoPE) in more than one dimension, with interactive visualisations, a bunch of experimental results, and code!
... also very honoured and grateful to see my blog linked in the video description! 🥹🙏🙇
I blog and give talks to help build people's intuition for diffusion models. YouTubers like @3blue1brown.com and Welch Labs have been a huge inspiration: their ability to make complex ideas in maths and physics approachable is unmatched. Really great to see them tackle this topic!