Many people are in the middle of the #CVPR2025 deadline. So I'm sharing my guide to writing a CVPR paper (or any paper). My students have had this for years but I haven't shared it publicly before. I hope you find it useful and write a great paper. #CVPR2025 medium.com/@black_51980/w…

Congrats! :D Hope people are able to do cool stuff with this!

New paper (and #ICLR2025 Oral :)): ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids arxiv.org/abs/2503.05025 Condition on your 3D layout (of ellipsoids) to generate proteins like this or to get better designability/diversity/novelty tradeoffs. 1/6

📢 Excited to announce the #ICML2025 workshop on *Scaling Up Intervention Models (SIM)*! Let’s bring together state-of-the-art ideas on modeling novel interventions and distribution shifts. :) 🙌🏻 Submissions are welcome! Link: sites.google.com/view/sim-icml2…

I'll be at ICLR. Come check out our generative modeling work! Reach out if you want to chat. Proteina: x.com/karsten_kreis/… Protcomposer: x.com/HannesStaerk/s… Generator matching: x.com/peholderrieth/…

I won't be at ICLR 🥲 but you can talk to these other cool people at my poster, Thursday 3-5:30 PM in Hall 3+2B #10!

At #ICLR2025 in Singapore now. Looking for people to chat with :) Also presenting ProtComposer: arxiv.org/abs/2503.05025

🚀 Excited to release a major update to the Boltz-1 model: Boltz-1x! Boltz-1x introduces inference-time steering for much higher physical quality, CUDA kernels for faster, more memory-efficient inference and training, and more! 🔥🧵

If you're interested in predicting drug targets or designing perturbation screens or causality in general, come listen to my reading group talk today :D (or drop by my poster at ICML next month!)

Excited to unveil Boltz-2, our new model capable not only of predicting structures but also binding affinities! Boltz-2 is the first AI model to approach the performance of FEP simulations while being more than 1000x faster! All open-sourced under MIT license! A thread… 🤗🚀

Today, we're releasing the fuel for the next generation of AI in biology 🧬 X-Atlas/Orion is now the largest public genome-wide Perturb-seq dataset, built to create better “virtual cell” models and accelerate drug discovery. Learn more: businesswire.com/news/home/2025…

Excited to share our new ProxelGen paper! Completely different from RFDiffusion etc., we generate proteins as densities instead of point clouds. Turns out this works just as well and e.g. does better on some scaffolding tasks. arxiv.org/abs/2506.19820 (1/8)