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Alex Tong

@alextong.bsky.social
1.3K followers 46 following 15 posts

ML + Cells + Proteins. PI @ AITHYRA alextong.net

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Alex Tong @alextong.bsky.social · 08/04/2026
Such an incredible journey building DISCO 🪩. Love working with this team. DISCO is a co-design model with functional, de novo, new-to-nature enzymes. Huge shoutout to my co-authors for making this a reality! 🚀👇
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Alex Tong @alextong.bsky.social · 27/03/2026
Come join us in Vienna! 🇦🇹 I started via this call 6 months ago and couldn't ask for a better place to do AI/ML research. It's a highly collaborative and dynamic institute. Don't hesitate to reach out if you're thinking of applying and have questions!
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AITHYRA Research Institute of the Austrian Academy of Sciences @aithyra.bsky.social · 26/03/2026
AITHYRA is recruiting a LIFE SCIENCE PI We are interested in research questions related to one of our four core disease areas: cancer research, immunological disorders, infectious diseases, neurodevelopment disorders. Job Ad: aithyra.at/fileadmin/do... Apply by 30.4.2026 #StartingPI #LS #AITHYRA
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Alex Tong @alextong.bsky.social · 23/03/2026
6 Papers (2 Oral 4 poster) at #ICLR from my group amoung the many more from #AITHYRA. See you in Rio!
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Antonio Scialdone @antonio-scialdone.bsky.social · 23/12/2025
Great work led by @marcostock.bsky.social and Florin Ratajczak , thanks to all coauthors Paul Bertin @evahoermanseder.bsky.social @yoshuabengio.bsky.social Jason Hartford @interactome.bsky.social Matthias Heinig @alextong.bsky.social
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AITHYRA Research Institute of the Austrian Academy of Sciences @aithyra.bsky.social · 15/12/2025
AITHYRA Global Adjunct Principal Investigator Program: Advancing AI-Driven Life Science Through Global Collaborations Learn more about the Program: aithyra.at/fileadmin/do... Application Deadline, 30 January 2026: application@aithyra.at #AITHYRA #GlobalAdjunctPI
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arXiv cs.LG Machine Learning @cslg-bot.bsky.social · 11/12/2025
Danyal Rehman, Tara Akhound-Sadegh, Artem Gazizov, Yoshua Bengio, Alexander Tong: FALCON: Few-step Accurate Likelihoods for Continuous Flows arxiv.org/abs/2512.09914 arxiv.org/pdf/2512.09914 arxiv.org/html/2512.09914
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Michael Bronstein @mmbronstein.bsky.social · 10/12/2025
“One of the continuing scandals in the physical sciences is that it remains in general impossible to predict the structure of even the simplest crystalline solids” (John Maddox) OXtal is a new all-atom generative diffusion model addressing this holy grail problem
oxtal.github.io
OXtal: Generative Molecular Crystal Structure Prediction
OXtal: Generative Molecular Crystal Structure Prediction
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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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Vincent Pauline @vincent-pauline.bsky.social · 09/12/2025
🆕 “Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction” Huge thanks to Tobias Hoppe, @k-neklyudov.bsky.social, @alextong.bsky.social, Stefan Bauer and @andreadittadi.bsky.social for their supervision! 🙌 arxiv : arxiv.org/abs/2512.05092 🧵👇
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Alex Tong @alextong.bsky.social · 20/10/2025
#AITHYRA, Vienna's new Biomedical AI institute, is hiring Postdocs! Come work with us. Openings in: 🔹 Generative AI 🔹 Multimodal ML 🔹 Virology 🔹 Enzyme Function Apply by Nov 20: oeaw.ac.at/aithyra/post... #PostDoc #AI #ML #Vienna #ScienceJobs
oeaw.ac.at
PostDoc Search
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Simon Olsson @smnlssn.bsky.social · 24/04/2025
Registration for this years CHAIR Structured Learning Workshop is open. Speakers include: Klaus Robert Müller, Jens Sjölund, @alextong.bsky.social , @janstuehmer.bsky.social, @arnauddoucet.bsky.social, @marcocuturi.bsky.social , Marta Betcke, Elena Agliari, Beatriz Seoane, Alessandro Ingrosso
ui.ungpd.com
2025 CHAIR Structured Learning Workshop
Welcome to the 2025 Chalmers AI Research Center Workshop for Structured Learning. In this workshop we broadly cover topics related to Structured Learning targeting specifically the following questions...
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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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Alex Tong @alextong.bsky.social · 28/12/2024
I've spent more compute time than I care to admit calculating the likelihood under flow models. Now 5x-10x faster likelihoods for stochastic flows🤯. Check out our work on SuperDiff for a great use case of model mixing.
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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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Sander Dieleman @sedielem.bsky.social · 27/11/2024
Amazing blog post on flow matching, stunning visuals! It also makes the connection with normalising flows crystal clear. Incredible effort!
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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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Anirban Ray @anirbanray.bsky.social · 18/11/2024
Huge shoutout to @alextong.bsky.social for making the awesome #TorchCFM library. Repos like this really unlocks the field and reduces entry barriers for others 😇
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Gabriele Corso @gcorso.bsky.social · 17/11/2024
Thrilled to announce Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction! An exciting collaboration with Jeremy, Saro, and an amazing team at MIT and Genesis Therapeutics. A thread!
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