DPhil student Emily Jin has co-authored OXtal, a generative model that predicts molecular crystal structures in seconds from a 2D graph - a major advance on brute-force methods. The team will present at ICLR 2026 in Brazil on 24 April. Read more: www.cs.ox.ac.uk/news/2519-fu...

🔮Introducing OXtal – a new all-atom diffusion model for crystal structure prediction! We tackle a grand challenge in computational chemistry: predicting the structure of crystalline solids directly from their chemical composition. Paper: arxiv.org/abs/2512.06987 Blog Post: oxtal.github.io 1/8

📢 Interested in doing a PhD in generative models 🤖, AI4Science 🧬, Sampling 🧑‍🔬, and beyond? I am hiring PhD students at Imperial College London for the next application cycle. 🔗See the call below: joeybose.github.io/phd-positions/ ✨ And a light expression of interest: forms.gle/FpgTiuatz9ft...

SuperDiff goes super big! - Spotlight at #ICLR2025!🥳 - Stable Diffusion XL pipeline on HuggingFace huggingface.co/superdiff/su... made by Viktor Ohanesian - New results for molecules in the camera-ready arxiv.org/abs/2412.17762 Let's celebrate with a prompt guessing game in the thread👇

Vienna science ball

Super super excited to share our work SuperDiff 🦹‍♀️ for superimposing pretrained diffusion models at inference time 💪 Check out the 🧵 to see how we superimposed proteins as well as images, all thanks to a fast new density estimator. Curious to see what 🍩 & 🗺️ would produce?

Kirill Neklyudov@k-neklyudov.bsky.social · 2y ago

🧵(1/7) Have you ever wanted to combine different pre-trained diffusion models but don't have time or data to retrain a new, bigger model? 🚀 Introducing SuperDiff 🦹‍♀️ – a principled method for efficiently combining multiple pre-trained diffusion models solely during inference!

2/2 Papers accepted at #ICLR2025. Congrats to all my co-authors 🥳. Definitely check out these works if you're interested in fine-tuning/composing diffusion models! Papers in thread 🧵 below 👇

🧵(3/7)This is all due to an amazing team: @martaowesyou.bsky.social @lazaratan.bsky.social @joeybose.bsky.social @alextong.bsky.social 📄Paper: arxiv.org/abs/2412.17762 💻Code: github.com/necludov/sup... 🤗HuggingFace: huggingface.co/superdiff

The Superposition of Diffusion Models Using the Itô Density Estimator

The Cambrian explosion of easily accessible pre-trained diffusion models suggests a demand for methods that combine multiple different pre-trained diffusion models without incurring the significant co...

arxiv.org

I had a blast working with such an amazing team! @martaowesyou.bsky.social @joeybose.bsky.social @alextong.bsky.social @k-neklyudov.bsky.social Check out our linked for details and examples! 📄Paper: arxiv.org/abs/2412.17762 💻Code: github.com/necludov/sup... 🤗HuggingFace: huggingface.co/superdiff

The Superposition of Diffusion Models Using the Itô Density Estimator

The Cambrian explosion of easily accessible pre-trained diffusion models suggests a demand for methods that combine multiple different pre-trained diffusion models without incurring the significant co...

arxiv.org

Work with an absolute dream of a team: @lazaratan.bsky.social @joeybose.bsky.social @alextong.bsky.social and @k-neklyudov.bsky.social 🤗🚀⚡️ 📄Paper: arxiv.org/abs/2412.17762 💻Code: github.com/necludov/sup... 🤗HuggingFace: huggingface.co/superdiff

The Superposition of Diffusion Models Using the Itô Density Estimator

The Cambrian explosion of easily accessible pre-trained diffusion models suggests a demand for methods that combine multiple different pre-trained diffusion models without incurring the significant co...

arxiv.org

🧵(1/7) Have you ever wanted to combine different pre-trained diffusion models but don't have time or data to retrain a new, bigger model? 🚀 Introducing SuperDiff 🦹‍♀️ – a principled method for efficiently combining multiple pre-trained diffusion models solely during inference!

New paper just dropped! How do you combine pre-trained diffusion models without having to train a new one 🤓? Turns out you can use our all new Ito density estimator 🔥 to compute densities under a diffusion model efficiently 🚀!

Kirill Neklyudov@k-neklyudov.bsky.social · 2y ago

🧵(3/7)This is all due to an amazing team: @martaowesyou.bsky.social @lazaratan.bsky.social @joeybose.bsky.social @alextong.bsky.social 📄Paper: arxiv.org/abs/2412.17762 💻Code: github.com/necludov/sup... 🤗HuggingFace: huggingface.co/superdiff

exciting new workshop announcement!! join us in Singapore for Frontiers in Probabilistic Inference: Learning Meets Sampling 🌏⚡️😃 details below 👇 #ICLR2025

Joey Bose@joeybose.bsky.social · 2y ago

🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social! 🔗 website: sites.google.com/view/fpiwork... 🔥 Call for papers: sites.google.com/view/fpiwork... more details in thread below👇 🧵

This #ICLR2025 workshop on modern probabilistic inference sounds absolutely stunning! 🙌 Learning Sampling 🤝 Probabilistic Inference

Joey Bose@joeybose.bsky.social · 2y ago

🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social! 🔗 website: sites.google.com/view/fpiwork... 🔥 Call for papers: sites.google.com/view/fpiwork... more details in thread below👇 🧵

Come join us in Singapore at #ICLR2025 to discuss the latest developments everywhere where Learning meets Sampling!

Joey Bose@joeybose.bsky.social · 2y ago

🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social! 🔗 website: sites.google.com/view/fpiwork... 🔥 Call for papers: sites.google.com/view/fpiwork... more details in thread below👇 🧵

🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social! 🔗 website: sites.google.com/view/fpiwork... 🔥 Call for papers: sites.google.com/view/fpiwork... more details in thread below👇 🧵

I'll be at #NeurIPS2024 next week presenting 4 papers all on generative models! Happy to meet old friends and new ones at all the fun events! Papers in thread 🧵

Mila is such a large community. One starter pack just isn’t enough! After @josephdviviano.bsky.social’s Mila list filled up, I decided to make another one. Will continue to add members until this one is full too. go.bsky.app/9nXTDHo

LoG Conference Tutorial on Geometric Generative Models -- Happening now with @joeybose.bsky.social , @alextong.bsky.social and Heli Ben-Hamu. Livestream: www.youtube.com/@learningong... #LoG2024

@logconference.bsky.social · 2y ago

T-11 hours till LoG 2024! Register for LoG ASAP to join the discussions on our Slack workspace 💜

Attending the Learning on Graphs conference (logconference.bsky.social) this year? Come check our introductory tutorial to building Geometric Generative Models co-delivered with Heli Ben-Hamu and Alex Tong (alextong.bsky.social) More details and forthcoming code: sites.google.com/view/ggm-log...

In a gratuitous attempt to acquire more followers myself 😁, I've made a start on a "starter pack". Hopefully as more people from 🐦 make it over to 🦋, we can extend this a bit. Suggestions welcome! I've noticed not all accounts seem to be eligible to be added, anyone know what's up with that? 🤔