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Jonas Beck

@jnsbck.de
111 followers 120 following 5 posts

Inference in biophysical neuron models. PhD student at Hertie AI / Uni Tuebingen with @celltypist.bsky.social.

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Reposted by Jonas Beck
Daniel Gedon @danielged.bsky.social · 06/07/2026
I am at ICML and present our work on LLM-based model discovery with a probabilistic view. Let me know if you are around and want to chat! I'm happy to discuss ideas.
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Jonas Beck @jnsbck.de · 13/11/2025
I guess thats on the internet now forever
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Jonas Beck @jnsbck.de · 13/11/2025
🤦‍♂️
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Reposted by Jonas Beck
Machine Learning in Science @mackelab.bsky.social · 13/11/2025
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...
nature.com
Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics - Nature Methods
Jaxley is a versatile platform for biophysical modeling in neuroscience. It allows efficiently simulating large-scale biophysical models on CPUs, GPUs and TPUs. Model parameters can be optimized with ...
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Jonas Beck @jnsbck.de · 13/11/2025
Thrilled this is finally out! Heads off to @deismic.bsky.social and thanks for the amazing collaborative effort on this! Excited to see what people do with this :)
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Reposted by Jonas Beck
kyrakadhim.bsky.social @kyrakadhim.bsky.social · 22/09/2025
At the European Retina Meeting and interested in biophysical modeling of the retina? Come stop by my poster (#081) tomorrow!
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Reposted by Jonas Beck
Dmitry Kobak @hippopedoid.bsky.social · 27/08/2025
We spent a year writing this review of low-dim embeddings and arguing about things like epistemic roles and best practices :-) 20+ authors are all participants of the Dagstuhl seminar we held last year: www.dagstuhl.de/24122. Led by @alexandr.bsky.social and Cyril de Bodt. arxiv.org/abs/2508.15929
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psteinb.bsky.social @psteinb.bsky.social · 19/08/2025
Looky Looky! 😍🥳👏 arxiv.org/abs/2508.12939 Super fun project, I ❤️ed coauthoring w/ @sbi-devs.bsky.social. Great lead by @deismic.bsky.social & @janboelts.bsky.social. Contribs by many talented people @jakhmack.bsky.social. 🙏 to #BenjaminKurtMiller for the kickstart! @helmholtzai.bsky.social
arxiv.org
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
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Reposted by Jonas Beck
Philipp Berens @philipp.hertie.ai · 08/11/2023
We are looking for an HPC Compute Cluster administrator to contribute to our ML Cloud! jobs.medizin.uni-tuebingen.de/Job/3574/HPC...
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Reposted by Jonas Beck
Janne Lappalainen @lappalainenjk.bsky.social · 30/12/2024
Ever wanted to do deep learning with a neural net that is one-to-one mapped to 65.05% of the fruit fly brain? 😄 Before this year ends, I will quickly advertise our code release of `flyvis.` Docs: t.ly/YqWzR Repo: t.ly/pMWpp Work with @jakhmack.bsky.social, @srinituraga.bsky.social and colleagues
Screenshot of the docs at turagalab.github.io/flyvis
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Jonas Beck @jnsbck.de · 28/11/2024
🙋
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Jonas Beck @jnsbck.de · 28/11/2024
🙋
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