We have recently uploaded our revised manuscript “Evaluating the role of pre-training dataset size and diversity on single-cell foundation model performance”.

TL;DR: More models, more tasks => same results.

🚨 New preprint 🚨

We introduce Generative Distribution Embeddings (GDEs) — a framework for learning representations of distributions, not just datapoints.

GDEs enable multiscale modeling and come with elegant statistical theory and some miraculous geometric results!

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[1/5] happy to share our neurips ✨spotlight✨ paper on scaling mutual information estimation to high dimensions :)

paper: neurips.cc/virtual/2024...
software: latentmi.readthedocs.io/en/latest/