Reposted by Joey BoseCompSciOxford @compscioxford.bsky.social · 21/04/2026DPhil 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... 073 0
Reposted by Joey BoseAlex Tong @alextong.bsky.social · 10/12/2025🔮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 1285 0
Joey Bose @joeybose.bsky.social · 11/09/2025📢 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...joeybose.github.ioJoey BosePersonal website powered by Jekyll 052 0
Reposted by Joey BoseKirill Neklyudov @k-neklyudov.bsky.social · 06/03/2025SuperDiff 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👇 1154 0
Reposted by Joey BoseMichael Bronstein @mmbronstein.bsky.social · 26/01/2025Vienna science ball 0421 0
Reposted by Joey BoseMarta Skreta @martaowesyou.bsky.social · 28/12/2024Super 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? 1243 0
Joey Bose @joeybose.bsky.social · 22/01/20252.) The Superposition of Diffusion Models Using the Itô Density Estimator: openreview.net/forum?id=2o5...openreview.netThe Superposition of Diffusion ModelsThe 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... 050 0
Joey Bose @joeybose.bsky.social · 22/01/20251.) 1. Steering masked discrete diffusion models via discrete denoising posterior prediction: openreview.net/forum?id=Omb...openreview.netSteering Masked Discrete Diffusion Models via Discrete Denoising...Generative modeling of discrete data underlies important applications spanning text-based agents like ChatGPT to the design of the very building blocks of life in protein sequences. However... 141 0
Joey Bose @joeybose.bsky.social · 22/01/20252/2 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 👇 4162 0
Reposted by Joey BoseKirill Neklyudov @k-neklyudov.bsky.social · 28/12/2024🧵(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/superdiffarxiv.orgThe Superposition of Diffusion Models Using the Itô Density EstimatorThe 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... 1153 0
Reposted by Joey BoseLazar Atanackovic @lazaratan.bsky.social · 28/12/2024I 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/superdiffarxiv.orgThe Superposition of Diffusion Models Using the Itô Density EstimatorThe 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... 061 0
Reposted by Joey BoseMarta Skreta @martaowesyou.bsky.social · 28/12/2024Work 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/superdiffarxiv.orgThe Superposition of Diffusion Models Using the Itô Density EstimatorThe 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... 062 0
Reposted by Joey BoseKirill Neklyudov @k-neklyudov.bsky.social · 28/12/2024🧵(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! 1457 0
Joey Bose @joeybose.bsky.social · 28/12/2024New 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 🚀! 0205 0
Reposted by Joey BoseMarta Skreta @martaowesyou.bsky.social · 18/12/2024exciting new workshop announcement!! join us in Singapore for Frontiers in Probabilistic Inference: Learning Meets Sampling 🌏⚡️😃 details below 👇 #ICLR2025 092 0
Reposted by Joey BoseMarvin Schmitt @marvin-schmitt.com · 18/12/2024This #ICLR2025 workshop on modern probabilistic inference sounds absolutely stunning! 🙌 Learning Sampling 🤝 Probabilistic Inference 0161 0
Reposted by Joey BoseKirill Neklyudov @k-neklyudov.bsky.social · 18/12/2024Come join us in Singapore at #ICLR2025 to discuss the latest developments everywhere where Learning meets Sampling! 0101 0
Joey Bose @joeybose.bsky.social · 18/12/2024 Organizers continued: Michael Bronstein @mmbronstein.bsky.social Max Welling Arnaud Doucet @arnauddoucet.bsky.social Aapo Hyvärinen Part 2/2 030 0
Joey Bose @joeybose.bsky.social · 18/12/2024🙏 Of course, this is co-organized with a dream team Tara Akhound-Sadegh Marta Skreta@martaowesyou.bsky.social Yuanqi Du Sarthak Mittal@sarthmit.bsky.social Alex Tong@alextong.bsky.social Kirill Neklyudov@k-neklyudov.bsky.social Part 1/2 130 0
Joey Bose @joeybose.bsky.social · 18/12/2024⚡We have an electric lineup of speakers and panelists: Sitan Chen(Harvard) Rianne Van Den Berg(MSR) Ricky Chen(Meta) Anna Korba(ENSAE Paris, CREST) Marylou Gabrié(ENS) Emtiyaz Khan(RIKEN) Grant Rotskoff(Stanford) Francisco Vargas(Xaira, Cambridge) Kyle Cranmer (University of Wisconsin-Madison) 151 0
Joey Bose @joeybose.bsky.social · 18/12/2024🚨 We invite submissions on sampling, Bayesian inference, accelerating sampling in AI4Science, Generative models in Probabilistic inference, and more! 🤖 We invite submissions along 3 tracks: 1.) Research Papers 2.) Challenges and Reflections 3.) Benchmarks and Datasets Deadline is Deb 3 AOE! 160 0
Joey Bose @joeybose.bsky.social · 18/12/2024🔊 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👇 🧵 28519 0
Joey Bose @joeybose.bsky.social · 07/12/2024Self Consuming Generative Models under Curated Data Provably Optimize Human Preferences (Spotlight), led by Damien Ferbach arxiv.org/abs/2407.09499 031 0
Joey Bose @joeybose.bsky.social · 07/12/2024Metric Flow Matching for Smooth Interpolations on the Data Manifold, led by Kacper Kapusniak arxiv.org/abs/2405.14780 131 0
Joey Bose @joeybose.bsky.social · 07/12/2024Fisher Flows for discrete generative modeling led by Oscar Davis arxiv.org/abs/2405.14664 100 0
Joey Bose @joeybose.bsky.social · 07/12/2024FoldFlow-2 for sequence-conditioned protein structure design. Led by Guillaume Huguet and James Vuckovic arxiv.org/abs/2405.20313 110 0
Joey Bose @joeybose.bsky.social · 07/12/2024I'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 🧵 1202 0
Reposted by Joey BoseRupali Bhati @rupalibhati.bsky.social · 27/11/2024Mila 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 4339 0
Reposted by Joey BoseVignesh Ram Somnath @vsomnath.bsky.social · 27/11/2024LoG 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 052 0
Joey Bose @joeybose.bsky.social · 25/11/2024Attending 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...logconference.bsky.sociallogconference.bsky.social 0104 0
Joey Bose @joeybose.bsky.social · 16/11/2024@alextong.bsky.social is finally on this platform (it took a lot of convincing and bribing)! As one of the creators of Conditional Flow-Matching can we add him to the starter pack? 040 0
Reposted by Joey BoseSander Dieleman @sedielem.bsky.social · 15/11/2024In 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? 🤔 3412836 0