Happy to share I've been named a 2026 #AI2050 Early Career Fellow by @SchmidtSciences. I’ll investigate generative models for molecules as part of a global cohort working to ensure AI benefits society by 2050.

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! 🚀👇

Marta Skreta@martaowesyou.bsky.social · 6mo ago

What if AI could invent enzymes that nature hasn’t seen? 👩‍🔬🧑‍🔬 Introducing 🪩 DISCO: Diffusion for Sequence-structure CO-design 📝 Blog: disco-design.github.io 📄 Paper: arxiv.org/abs/2604.05181 💻 Code: github.com/DISCO-design...

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!

AITHYRA Research Institute of the Austrian Academy of Sciences@aithyra.bsky.social · 7mo ago

AITHYRA is recruiting an AI/ML STARTING PI Generative Models, Large Language Models, Agentic AI, Active & Reinforcement Learning, AI-driven Scientific Discovery & Lab Automation, ML-driven molecular simulations... Job Ad: aithyra.at/fileadmin/do... Apply by 30.4.2026 #StartingPI #AI/ML #AITHYRA

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

6 Papers (2 Oral 4 poster) at #ICLR from my group amoung the many more from #AITHYRA. See you in Rio!

AITHYRA Research Institute of the Austrian Academy of Sciences@aithyra.bsky.social · 7mo ago

AITHYRA at #ICLR: 20 Papers, Including 3 Orals (top 1.2%) #AITHYRA has a strong presence at the upcoming International Conf on Learning Representations (ICLR) taking place in Apr in Rio de Janeiro, Brazil. Congrats to all our team members and collaborators! More info: aithyra.at/news/detail/...

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

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

Danyal Rehman, Tara Akhound-Sadegh, Artem Gazizov, Yoshua Bengio, Alexander Tong: FALCON: Few-step Accurate Likelihoods for Continuous Flows https://arxiv.org/abs/2512.09914 https://arxiv.org/pdf/2512.09914 https://arxiv.org/html/2512.09914

“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

Alex Tong@alextong.bsky.social · 10mo ago

🔮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

🔮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

🆕 “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 🧵👇

#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

AITHYRA Research Institute of the Austrian Academy of Sciences@aithyra.bsky.social · 12mo ago

The Starting Principal Investigators at #AITHYRA the Research Institute for Biomedical Artificial Intelligence of the OeAW in Vienna invite outstanding candidates to apply for postdoctoral positions in the field of AI/ML & Life Sciences. www.oeaw.ac.at/aithyra/post... Please apply by 20 Nov 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

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...

ui.ungpd.com

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👇

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.

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!

🔊 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👇 🧵

Amazing blog post on flow matching, stunning visuals! It also makes the connection with normalising flows crystal clear. Incredible effort!

Mathurin Massias@mathurinmassias.bsky.social · 2y ago

Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423

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...

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 😇

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!