Alex Tong
banner
alextong.bsky.social
Alex Tong
@alextong.bsky.social
ML + Cells + Proteins. PI @ Aithyra
#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
October 20, 2025 at 3:46 PM
Reposted by Alex Tong
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
April 24, 2025 at 1:48 PM
Reposted by Alex Tong
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👇
March 6, 2025 at 9:06 PM
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.
🧵(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!
December 28, 2024 at 7:06 PM
Reposted by Alex Tong
🔊 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👇 🧵
December 18, 2024 at 7:09 PM
Reposted by Alex Tong
Amazing blog post on flow matching, stunning visuals! It also makes the connection with normalising flows crystal clear. Incredible effort!
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
November 27, 2024 at 6:31 PM
Reposted by Alex Tong
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
November 25, 2024 at 11:57 AM
Reposted by Alex Tong
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 😇
November 18, 2024 at 10:39 PM
Reposted by Alex Tong
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!
November 17, 2024 at 4:20 PM