Frederik Träuble
64 posts
Clinical notes are messy, inconsistent, and unstructured—yet they hold some of the most valuable signals in real-world clinical practice. Join us today at ICML at the Foundation Models for Structured Data workshop to see how we can make sense of these notes! 📍 West Ballroom D
Understanding human biology across scales - from molecules to cells to entire organisms - remains one of biomedicine's greatest challenges in the fight against disease. Today, we are announcing Phenformer - a multi-scale genetic language model that learns to read and interpret human genomes by connecting DNA, cell and tissue context, molecules and clinical outcomes. Phenformer is a generative model of molecular mechanisms that enables researchers to unravel the mysteries underlying disease, and could thereby accelerate the development of precise future therapeutics.
Decisions and meta-reviews are now available---thanks to all reviewers! See you in ~1 month in Eindhoven for some hopefully stimulating discussions around causal representation learning. Please remember to register for @UncertaintyInAI if you plan to attend the workshop.
"Compositional Multi-Object Reinforcement Learning with Linear Relation Networks": new module with linear cost and an object-centric compositional bias for training RL policies that generalize zero shot to arbitrary number of objects in robotics. [1/2] arxiv.org/pdf/2201.13388…
Happy to announce our large-scale study on representation learning and generalization in reinforcement learning! arxiv.org/abs/2107.05686 How do properties of pre-trained representation backbones affect the robustness of downstream RL policies in simulation and real world? 1/5
This was a very nice talk by @tomgoldsteincs, starts at 0:30.
