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Joey Bose

@joeybose.bsky.social
1.8K followers 72 following 17 posts

Incoming Assistant Professor @Imperial College London. Post-doc @UniofOxford. Into Geometry ∩ Generative Models. @mila-quebec.bsky.social Affiliate member. Phd from @mila-quebec.bsky.social / McGill. website: joeybose.github.io

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Reposted by Joey Bose
CompSciOxford @compscioxford.bsky.social · 21/04/2026
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...
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Reposted by Joey Bose
Alex 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
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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.io
Joey Bose
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Reposted by Joey Bose
Kirill Neklyudov @k-neklyudov.bsky.social · 06/03/2025
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👇
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Reposted by Joey Bose
Michael Bronstein @mmbronstein.bsky.social · 26/01/2025
Vienna science ball
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Reposted by Joey Bose
Marta Skreta @martaowesyou.bsky.social · 28/12/2024
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?
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Joey Bose @joeybose.bsky.social · 22/01/2025
2.) The Superposition of Diffusion Models Using the Itô Density Estimator: openreview.net/forum?id=2o5...
openreview.net
The Superposition of Diffusion Models
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...
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Joey Bose @joeybose.bsky.social · 22/01/2025
1.) 1. Steering masked discrete diffusion models via discrete denoising posterior prediction: openreview.net/forum?id=Omb...
openreview.net
Steering 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...
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Joey Bose @joeybose.bsky.social · 22/01/2025
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 👇
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Reposted by Joey Bose
Kirill 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/superdiff
arxiv.org
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...
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Reposted by Joey Bose
Lazar Atanackovic @lazaratan.bsky.social · 28/12/2024
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
arxiv.org
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...
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Reposted by Joey Bose
Marta Skreta @martaowesyou.bsky.social · 28/12/2024
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
arxiv.org
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...
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Reposted by Joey Bose
Kirill 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!
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Joey Bose @joeybose.bsky.social · 28/12/2024
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 🚀!
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Reposted by Joey Bose
Marta Skreta @martaowesyou.bsky.social · 18/12/2024
exciting new workshop announcement!! join us in Singapore for Frontiers in Probabilistic Inference: Learning Meets Sampling 🌏⚡️😃 details below 👇 #ICLR2025
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Reposted by Joey Bose
Marvin Schmitt @marvin-schmitt.com · 18/12/2024
This #ICLR2025 workshop on modern probabilistic inference sounds absolutely stunning! 🙌 Learning Sampling 🤝 Probabilistic Inference
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Reposted by Joey Bose
Kirill Neklyudov @k-neklyudov.bsky.social · 18/12/2024
Come join us in Singapore at #ICLR2025 to discuss the latest developments everywhere where Learning meets Sampling!
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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
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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
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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)
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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!
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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👇 🧵
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Joey Bose @joeybose.bsky.social · 07/12/2024
Self Consuming Generative Models under Curated Data Provably Optimize Human Preferences (Spotlight), led by Damien Ferbach arxiv.org/abs/2407.09499
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Joey Bose @joeybose.bsky.social · 07/12/2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold, led by Kacper Kapusniak arxiv.org/abs/2405.14780
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Joey Bose @joeybose.bsky.social · 07/12/2024
Fisher Flows for discrete generative modeling led by Oscar Davis arxiv.org/abs/2405.14664
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Joey Bose @joeybose.bsky.social · 07/12/2024
FoldFlow-2 for sequence-conditioned protein structure design. Led by Guillaume Huguet and James Vuckovic arxiv.org/abs/2405.20313
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Joey Bose @joeybose.bsky.social · 07/12/2024
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 🧵
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Reposted by Joey Bose
Rupali Bhati @rupalibhati.bsky.social · 27/11/2024
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
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Reposted by Joey Bose
Vignesh Ram Somnath @vsomnath.bsky.social · 27/11/2024
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
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Joey Bose @joeybose.bsky.social · 25/11/2024
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...
logconference.bsky.social
logconference.bsky.social
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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?
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Reposted by Joey Bose
Sander Dieleman @sedielem.bsky.social · 15/11/2024
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? 🤔
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