🤓 Open position at IBM Research Zurich! Passionate about AI for maths & curious about Quantum Computing? Join our team & help to shape the future of computing! We are offering internships & master theses. If you are looking for a PhD, please apply to the same ad! 👉 www.zurich.ibm.com/careers/2025...

After several years of usage by the open-source community, our paperscraper package finally has its own Docs available: jannisborn.github.io/paperscraper/ Use #paperscraper for publication keyword search, download PDFs, extract citation statistics and many more! 🚀

Check out our workflow for AI-driven molecular design. We’ve successfully validated this experimentally already (papers coming soon)!

1/ New paper out in @commsbio.nature.com, led by @marinv.bsky.social: doi.org/10.1038/s420...! Across several past studies, we showed how newborns' degraded vision may benefit human development and inspire more robust deep networks. We have referred to this as Adaptive Initial Degradations (AID).

#ICML Why are LLMs so powerful but still suck at math? 🤔 A key problem is cross-entropy loss: It is nominal-scale, so tokens are unordered. That makes sense for words, but not for numbers. For a "5" label, predicting “6” or “9” gives the same loss 😱 Yes, it's crazy! No, nobody has fixed this yet! ⬇️

🚨 Our new paper: Conditional Optimal Transport generalizes well to unseen drugs. Big step forward, thanks to conditional Monge Gap! Even better: conditional models often beat local, non-conditional ones. arxiv.org/abs/2504.08328. Code public! Thanks to all co-authors @marianna-raps.bsky.social

Our next journal club meeting will be discussing "A Computational Investigation of Inventive Spelling and the 'Lesen durch Schreiben' Method" by @jannisblrn.bsky.social et al. on 23 Jan 2025, 11am - 12pm (GMT+1). Join us by emailing us at [email protected], and stay tuned for more news!

If you're @neuripsconf.bsky.social and into #OptimalTransport & bio, dont miss on Alice Driessen's spotlight talk on #ConditionalMongeGap for modeling CAR Response. Today #AIDrugX workshop! Positive results on OOD perturbations -> accurate gene expression prediction. Paper: ibm.biz/carot-pre

A new loss improves math capabilities in language models! The loss is model-agnostic and only requires to know which tokens represent numbers. No computational overhead but better performance. Poster today @NeurIPS - MathAI Workshop! Thx to collaborators from TUM AI! Paper: arxiv.org/abs/2411.02083

Can we iteratively design small molecules with desired target properties, simply by sending messages on Slack? YES! Super excited to give a live demo on🤖dZiner🧪 during the SPOTLIGHT 🔦 talk at #AI4Mat #NeurIPS2024! Preprint: lnkd.in/e-24AEHC Code: lnkd.in/egF4hGCg