It was great to work on the ODAC25 paper with the Meta FAIR Chemistry and Georgia Tech. A leap forwards in modelling direct air carbon capture with metal organic frameworks, with much better data and larger models. Paper: arxiv.org/abs/2508.03162 Data and models: huggingface.co/facebook/ODA...

Are you tired of context-switching between coding models in @pytorch.org and paper writing on @overleaf.com? Well, I’ve got the fix for you, Neuralatex! An ML library written in pure Latex! neuralatex.com To appear in Sigbovik (subject to rigorous review process)

An unexpected surprise. The 2025 Breakthrough Prize in Fundamental Physics honors over 13,000 researchers whose labors have led to the precise description the Higgs mechanism, … breakthroughprize.org/News/91 @CERN

On March 7th, we’re Standing Up for Science— and against political censorship, autocracy, and fascism. Science stands at a crossroads. This is a wider fight for truth, for democracy, and for the future. We hope you join us. www.standupforscience2025.org

📣 Hiring! I am looking for PhD/postdoc candidates to work on foundation models for science at @ULiege, with a special focus on weather and climate systems. 🌏 Three positions are open around deep learning, physics-informed FMs and inverse problems with FMs.

Excellent talk by @johannbrehmer.bsky.social On “Does equivariance matter at scale?” At NeurReps workshop arxiv.org/abs/2410.23179 www.neurreps.org

Just arrived in Vancouver for #NeurIPS. I'm looking forward to meeting old and new friends, learning a thing or two, and presenting some recent work: 1/6

A common question nowadays: Which is better, diffusion or flow matching? 🤔 Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.

The sbi package is growing into a community project 🌍 To reflect this and the many algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper 📝 Check it out, and reach out if you want to get involved: arxiv.org/abs/2411.17337

Thrilled to announce that L-GATr is going to NeurIPS 2024! Plus, there is a new preprint with extended experiments and a more detailed explanation. Code: github.com/heidelberg-h... Physics paper: arxiv.org/abs/2411.00446 CS paper: arxiv.org/abs/2405.14806 1/7

Milestone: our review paper “The Frontier of Simulation-Based Inference” coauthored with @glouppe.bsky.social & @johannbrehmer.bsky.social hit 1000 citations. I’m very excited about the potential for these methods to transform science! www.pnas.org/doi/10.1073/... simulation-based-inference.org

The snow is gently falling outside the window, the models are training, what could be better? Two articles cool to read: Does Equivariance matter at scale? (@johannbrehmer.bsky.social et al.) arxiv.org/abs/2410.23179 Denoising Diffusion Bridge Models (Linqi Zhou et al.) arxiv.org/pdf/2309.16948

Looking for an internship? Interested in geometric or causal priors for robotics, inductive biases at scale, or one of many other ML topics? Come work with us in Amsterdam! careers.qualcomm.com/careers?pid=...