🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📚: Causal Machine Learning is a practical introduction to building AI models that can reason about causality. Get the book now: ​bit.ly/3fQpsJf #AI #causalML

🇿🇦Had the most amazing time at African Institute for Mathematical Sciences (AIMS) in Cape Town teaching some of the brightest, hardest-working, and most grateful students I've ever met. Special thanks to Jan-Willem van de Meent for this amazing opportunity and teaching this course! Can't wait to see where their talents take them ❤️

Collegues in Europe are running this poll about #NeurIPS2025 participation. If in Europe, highly recommended to participate.

Poll: docs.google.com/forms/d/e/1FAI…

Come and join us at AmsterdamNLP! We have two open PhD positions in #NLProc with a focus on multilingual NLP and LLM alignment. Looking for students with an NLP/ML background and an interest in language and society. werkenbij.uva.nl/en/vacancies/t…

We have just opened a fully-funded PhD position at Cambridge, supervised by me & Vasily Belokurov. Topic: AI + astronomical imaging (broadly defined). Deadline: April 16. Please share with anyone who may be interested! postgraduate.study.cam.ac.uk/courses/direct…

Excited to be in Singapore next week for #ICLR2025! 🇸🇬 DM if you want to chat about geometric deep learning and/or generative models on manifolds, or just to enjoy some nice specialty coffee ☕️ I don't look like Barbie but my poster does 🪩😎

We are hiring! Come and join us in Google DeepMind in Zurich to work on next generation audio and speech technologies 😎 job-boards.greenhouse.io/deepmind/jobs/…

🥇 3 Best Paper Awards for AMLab members! 1. Towards Variational Flow Matching on General Geometries by Olga Zaghen Floor Eijkelboom 2. Generative Uncertainty in Diffusion Models by Metod Jazbec 3. SDE Matching by Grigory Bartosh Congrats to everyone! 🔥

🦦 So glad our riemannian variational flow matching got recognition 🦦 Congrats Olga Zaghen Alison and Erik Bekkers - and the others ❤️ Paper 📄: arxiv.org/abs/2502.12981

Great too see that our Generative Uncertainty won the best paper award at the ICLR QUESTION workshop (…certainty-foundation-models.github.io). If you're interested in what Bayesian/ensembling methods can bring to the world of diffusion models, check out the paper 👇 arxiv.org/abs/2502.20946

AMLab is happy to have 7 papers accepted at #ICML2025! 🎉 See the thread below for the full list 📝 and meet us in Vancouver to discuss them! 🇨🇦 🧵0 / 7

🤹 Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems by Max Zhdanov Max Welling Jan-Willem van de Meent 📜 arxiv.org/abs/2502.17019 x.com/maxxxzdn/statu… 🧵1 / 7

🌊 Exponential Family Variational Flow Matching for Tabular Data Generation by Andrés Guzmán-Cordero*, Floor Eijkelboom*, Jan-Willem van de Meent 📜 soon! 🧵6 / 7

🐳 Controlled Generation with Equivariant Variational Flow Matching by Floor Eijkelboom, Heiko Zimmermann 🦋 [email protected], Sharvaree Vadgama, Erik Bekkers, Max Welling, Christian A. Naesseth*, Jan-Willem van de Meent* 📜 soon! 🧵7 / 7

Very happy to say that our work with Prateek Gupta and Andrea Ferrari on using machine learning to find physics dualities was accepted at #ICML2025! (Thread describing the idea below...)

🤹 New blog post! I write about our recent work on using hierarchical trees to enable sparse attention over irregular data (point clouds, meshes) - Erwin Transformer. blog: maxxxzdn.github.io/blog/erwin/ paper: arxiv.org/abs/2502.17019 Compressed version in the thread below:

Nice primer on flow matching (FM) and variational flow matching (VFM) by Floor Eijkelboom (@feijkelboom)!