
Nicolas Deutschmann
@nickgermann
ML Researcher @cradlebio
GenAI for proteins with a touch of uncertainty quantification.
Views are my own.
(he/him)
ID: 10159822
http://ndeutschmann.github.io 11-11-2007 19:35:53
535 Tweet
232 Followers
447 Following

Can’t wait to meet new and old connections at #ACSFall2023. If you are around, pass and say 👋🏻 by the IBM Research booth 249. We are here at ACS with 42 contributions, 6 of which from the team. We will also unveil the concept of a “Lab that Learns”. Curious ? Come and visit us!


On Wednesday, Marvin Alberts will present at 08:45am: Automatic structure elucidation from IR spectra and at 04:15pm: Automatic structure elucidation from NMR spectra Both contributions exploring the use of foundation models for molecular structure elucidation.

Are you dealing with geometric data, be it from molecules or robots? Would you like inductive biases *and* scalability? Our Geometric Algebra Transformer (GATr 🐊) may be for you. New work w/ Pim de Haan, Sönke Behrends, and Taco Cohen: arxiv.org/abs/2305.18415 1/9


Great to see our work IBM Research on prompt driven retrosynthesis in ACS Central Science highlighted by Organic Process Research & Development alongside several former colleagues and collaborators! 🌟Highlight: pubs.acs.org/doi/10.1021/ac… 📰Paper: pubs.acs.org/doi/10.1021/ac… #NLP #MachineLearning #Chemistry #AI

Here's our preprint on conformal sequence generation! w/ Marvin Alberts Maria Rodriguez Martinez arxiv.org/abs/2309.03797 Two new algorithms for sequence prediction sets with guarantees: - Conformal sub-beams: pruning standard beams - Conformal dynamic beams: step-by-step conformal decoding.

Excited our Preprint on Conformal Beam Search with Nicolas Deutschmann and Maria Rodriguez Martinez is out on @Arxiv. We add rigorous uncertainty quantifications to Beam Search using Conformal Predictions. Applicable to any model without changes in the architecture!! 🔗ibm.biz/conformal_beams




Join our Track on #AI for #drugdiscovery at #AMLD2024 March 25 in Lausanne 🇨🇭! 🔥 Sessions on #AI for #molecules, #singlecell #omics 🔊 Stellar invited talks from Mo Lotfollahi Francesca Grisoni and @DRoqueiro 🗒️ Submit your abstract and get selected for a short talk or a poster 👇

Interested in Uncertainty Quantification for Sequence Prediction? Come check out our poster at AAAI today. We add rigorous uncertainty quantification to Beam Search using Conformal Predictions! Nicolas Deutschmann IBM Research


📢 We are hiring! 📢 Are you a MSc/PhD👩🎓👨🎓 passionate about #AI #ML in #cancer, looking for your next career step? Join our newly-founded AI/ML for Biomedicine group part of the Biomedical Data Science Center at Université de Lausanne and CHUV / Centre hospitalier universitaire vaudois in beautiful Lausanne!🇨🇭🏔🌈 👇



✨Aaaand it's time for ICML! DM me or Constance Ferragu if you'd like to chat about 🧬ML-for-proteins or 🚀startups! :D


Lovely measurement of W-boson mass from CMS Experiment CERN; slides at indico.cern.ch/event/1441575/…



