- Our work on training biophysical models with Jaxley is now out in @natmethods.nature.com. Led by @deismic.bsky.social, with @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social et al. Paper: www.nature.com/articles/s41...
Nov 13, 2025 13:08
- This project was a collaborative effort by @deismic.bsky.social, @kyrakadhim.bsky.social, @matthijspals.bsky.social, @jnsbck.de, @hzwei.dev, Manuel Gloeckler, @lappalainenjk.bsky.social, @coschroeder.bsky.social, @philipp.hertie.ai, @ppjgoncalves.bsky.social & @jakhmack.bsky.social.
- A big "thank you" for funding and support to @tuebingen-ai.bsky.social, @unituebingen.bsky.social, @ml4science.bsky.social, @dfg.de, @erc.europa.eu, @carlzeissstiftung.bsky.social, @mpi-is.bsky.social, @hertie-ai.bsky.social, @vibai.bsky.social, @nerflabs.bsky.social!
- To get started with Jaxley, check out the documentation: jaxley.readthedocs.io/en/latest/.
