Michael Deistler
@deismic_
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Machine Learning tools for neuroscience @MackeLab
Tübingen, Deutschland
Joined February 2019
The SBI package has a public discord server now! 🌍 Join if you are a user or (aspiring) contributor, or if you are interested in simulations or Bayesian inference with neural networks!
We are launching an SBI Discord Server! 🎉 We want to use this server to further build a community around SBI, i.e., for sharing insights, questions and events around SBI in general and the sbi package in particular. You are all invited to join! 🤗
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The sbi toolbox has seen lots of major updates over the past years, many of them driven by new contributors. I am extremely happy to see this happening and we have now written an updated paper to reflect the current state of contributors and features of the toolbox. Check it out!
The sbi package is growing into a community project 🌎 To reflect this and the algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper. Reach out if you want to get involved:
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RT @mackelab: A propos: Inspired to do a PhD or Postdoc in #ML4Science/#AI4Science? We have multiple openings to work ML and AI tools for…
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@_rdgao @FoldMani Yes, Jaxley can just-in-time (JIT) compile the integration loop. In that, it offers two options for the solver: one that has almost zero compile time but higher runtime, and another one that has significant compile time but is optimized for runtime and scaling to large systems.
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Finally, a huge thank you to all co-authors for having made Jaxley much better and for having made this project a lot more fun to work on! @KadhimKyra, @matthijs_pals, @__jnsbck__, @tszwai_wong, @gloecklermanuel, @lappalainenjk, @CorSchroeder
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Absolutely amazing work by Janne and team over many years. Big respect. Check it out!
Biggest joy and honour leading this project at the intersection of visual neuroscience and ML to a successful finish! Paper:
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Puh, we have been preparing the new release of the sbi toolbox for quite a while now, and I am really glad to see it out now! Have a look, there are a lot of cool new features! 🚀
We just released a new version of `sbi`, and this one has _a ton_ of new features! Many of these features are thanks to more than 30 (mostly new) contributors. We are very excited about the growing community and the new release! 🧵 1/8
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Super happy to see this happening! 🚀
We’re excited to share that the SBI package is now officially @NumFOCUS affiliated and growing into a community project. A lot of upcoming release originated from a hackathon earlier this year, and there are more events planned soon. Stay tuned for details! #opensource #hackathon
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Join us at oral 6F (4:45pm) or poster 1309 today (1:30pm) to learn how @gloecklermanuel used transformers and diffusion models to build an `All-in-one` SBI method!
@gloecklermanuel and @deismic_ are at ICML to present our work on `All-in-one simulation-based inference`. Join us at ORAL 6F tomorrow (Thursday) 4:45pm, or come by poster 1309, tomorrow 1:30pm!
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Highly recommended!
Excited about linking single-neuron biophysics to neural-population dynamics? Excited about machine learning for scientific discovery? Come work with us! We have a PhD and a postdoc positions: Please spread the word! @__NERF
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RT @uni_tue: Herzlichen Glückwunsch! Die Biologin Rita Triebskorn erhält den Tübinger Preis für #Wissenschaftskommunikation - Der Nachwuchs…
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