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psteinb.bsky.social

@psteinb.bsky.social
355 followers 346 following 56 posts

Using Machine Learning for Matter Research @helmholtzai.bsky.social

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psteinb.bsky.social @psteinb.bsky.social · 09/06/2026
Had a blast running a workshop on “Open challenges in SBI” with @helmholtzai.bsky.social yesterday. #HAICON26 The great @deismic.bsky.social shared his views on the genesis of SBI & its future! Posters demoed breadth of SBI uses. Thanks to all who contributed! @sbi-devs.bsky.social @bayesflow.org
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psteinb.bsky.social @psteinb.bsky.social · 04/05/2026
Deadline extended to May 6, 2026! Go and submit your experiences, please.
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psteinb.bsky.social @psteinb.bsky.social · 24/04/2026
Don't forget to submit your poster idea on "Open challenges in SBI" at our workshop in Munich on June 8, 2026! 👉 events.hifis.net/event/3955/a... (deadline Apr 29, 2026) We are happy to have @deismic.bsky.social as the keynote speaker. Come join us and show us your #sbi work! @sbi-devs.bsky.social
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
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psteinb.bsky.social @psteinb.bsky.social · 14/04/2026
What a release by @sbi-devs.bsky.social github.com/sbi-dev/sbi/...
github.com
Release v0.26.0 · sbi-dev/sbi
✨ Highlights 🎉 New Contributors @vagechirkov made their first contribution in #1689 @satwiksps made their first contribution in #1695 @Dev-Sudarshan made their first contribution in #1697 @touronc...
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Transactions on Machine Learning Research @tmlrorg.bsky.social · 12/02/2026
TMLR's 2025 annual report! The word of the year is growth: whether it's our number of submissions, published papers, or reviewers, pretty much everything has increased ~50%. EXCEPT: our review period, which is still shorter than NeurICMLR (91 vs 126 days) Read on for more! 1/n
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psteinb.bsky.social @psteinb.bsky.social · 28/01/2026
Alternatively, this idea might be a thing for LLMs.
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psteinb.bsky.social @psteinb.bsky.social · 08/01/2026
Well, the incentives to withdraw after the submission deadline at ICLR are negligible. AFAIC, in both cases (withdrawal or rejection) author identities and paper content stay public. To me, this is a shortcoming of the rules.
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psteinb.bsky.social @psteinb.bsky.social · 17/10/2025
This is so cool! 👇👇👇
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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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psteinb.bsky.social @psteinb.bsky.social · 03/06/2025
The 0th day of #HAICON25 was a blast! I've had the plsre to participate in a tutorial on @sbi-devs.bsky.social by #AlinaBazarova and #JoseRoblero. @helmholtzai.bsky.social @fz-juelich.de In the afternoon, I ran a birds-of-a-feather on inverse problems in Helmholtz. @hzdr.bsky.social
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RAV @rav-ev.bsky.social · 01/06/2025
Heute vor 6 Jahren wurde Walter #Lübcke von einem Rechtsradikalen ermordet. Walter Lübcke steht für einen Konservatismus, der heute so sehr fehlt. Ein Konservatismus, der humane Werte, das Menschenrecht auf Asyl, offensiv verteidigt. Und der nicht opportunistisch Positionen der #NoAfD übernimmt.
Foto von Walter Lübcke
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psteinb.bsky.social @psteinb.bsky.social · 19/05/2025
From anecdotal evidence: same holds for the German schools, I have contact with.
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psteinb.bsky.social @psteinb.bsky.social · 29/04/2025
Cunning idea by the looks of it!
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psteinb.bsky.social @psteinb.bsky.social · 26/04/2025
@learnbayesstats.bsky.social if you like to explore the field of simulation-based inference more, people like @kylecranmer.bsky.social @glouppe.bsky.social @jakhmack.bsky.social or people of the @sbi-devs.bsky.social project could be really good next guests. Lots of things happening there.
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psteinb.bsky.social @psteinb.bsky.social · 26/04/2025
I'm done listening. As always, @vincefort.bsky.social is a super knowledgeable guest and a good communicator. Some parts (PAC-Bayes, amortized inference) are sometimes hard to follow due to high density of math/terms. Still very enjoyable and fun episode.
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psteinb.bsky.social @psteinb.bsky.social · 11/04/2025
🥳Great news, our JOSS paper "sbi reloaded" has been accepted! 🎉 This community lead by the fine folks of @sbi-devs.bsky.social is very welcoming and super fun to work with! I learn with every discussion I have. paper: joss.theoj.org/papers/10.21... review: github.com/openjournals...
github.com
[REVIEW]: sbi reloaded: a toolkit for simulation-based inference workflows · Issue #7754 · openjournals/joss-reviews
Submitting author: @janfb (Jan Boelts) Repository: https://github.com/sbi-dev/sbi Branch with paper.md (empty if default branch): joss-submission-2024 Version: v0.24.0 Editor: @boisgera Reviewers: ...
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psteinb.bsky.social @psteinb.bsky.social · 11/04/2025
Interesting paper! Thanks for sharing. And from what it looks like, no prompt engineering was done. 🤷 This likely leaves the LLM performance under the table. 🐌 To me, this adds apples-oranges (🍎vs🍊) vibe to the robust & well-done stats analysis. Plus, only #openai models were tested. 🔍
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psteinb.bsky.social @psteinb.bsky.social · 03/04/2025
Can’t wait to listen in!
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Riccardo Sapienza @riccard0.bsky.social · 03/04/2025
I also agree that openness is they key skill for a researcher www.nature.com/articles/s41...
nature.com
Openness guides discovery - Nature Biotechnology
Nature Biotechnology - Openness guides discovery
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Serge Belongie @serge.belongie.com · 30/03/2025
Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)
docs.google.com
NeurIPS participation in Europe
We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...
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psteinb.bsky.social @psteinb.bsky.social · 31/03/2025
Great initiative to see if Neurips could be replicated in Europe! 🇪🇺
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psteinb.bsky.social @psteinb.bsky.social · 31/03/2025
Great to see that many noise2void inspired denoising algorithms have been ported to @pytorch.org! Kudos to @florianjug.bsky.social and many others ... github.com/CAREamics/ca...
github.com
GitHub - CAREamics/careamics: A deep-learning library for denoising images using Noise2Void and friends (CARE, PN2V, HDN etc.), with a focus on user-experience and documentation.)
A deep-learning library for denoising images using Noise2Void and friends (CARE, PN2V, HDN etc.), with a focus on user-experience and documentation.) - CAREamics/careamics
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psteinb.bsky.social @psteinb.bsky.social · 21/03/2025
It's been a blast, thanks to @sbi-devs.bsky.social ! This week's hackathon was phenomenal! 🙏 😍 The sbi hackathon welcomed about 25 people in Tübingen with contributions spanning the globe , e.g. 🇺🇸🇯🇵🇧🇪🇩🇪. Wanna see, what we did? Check out the PRs👇 github.com/sbi-dev/sbi/...
github.com
Pull requests · sbi-dev/sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has ...
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psteinb.bsky.social @psteinb.bsky.social · 17/03/2025
This week will be an upskill from dusk till dawn: I'll be at the hackathon of @sbi-devs.bsky.social ! I am so much looking forward to meet and work with collaborators. Learn a lot and push #sbi forward. Can't wait to arrive🚆! @helmholtzai.bsky.social @tuebingen-ai.bsky.social #appliedAI
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psteinb.bsky.social @psteinb.bsky.social · 15/03/2025
What a gem! Lovely article on our blind focus on accuracy in ML. Can't wait to get my hands on the references therein.
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psteinb.bsky.social @psteinb.bsky.social · 14/03/2025
Working with #julia sometimes feels like playing minesweeper. Found a helpful library on the web 💣, punched in `add AwesomeLib` and boom 💥 I have to wait for 15min 🥱 to get all dependencies compiled and installed. #21century #oldhardware
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psteinb.bsky.social @psteinb.bsky.social · 12/03/2025
Congrats! 👏
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psteinb.bsky.social @psteinb.bsky.social · 12/03/2025
I think, this is a great opportunity for anyone interested!
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psteinb.bsky.social @psteinb.bsky.social · 10/03/2025
🗓️ No plans for Wednesday in Dresden, March 12, 5:30pm yet? Then please join us for a fun event on Computer Vision 💻 and Image analysis 🔬 🔭 ... there will be food for thought 🤯 , drinks 🥛 and pizza 🍕 . For the agenda and registration see the link below 👇 events.hifis.net/event/2248/
events.hifis.net
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psteinb.bsky.social @psteinb.bsky.social · 06/03/2025
Jaw dropping results! Congrats @maxxxzdn.bsky.social for this wonderful treat. Happy to put this into play.
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psteinb.bsky.social @psteinb.bsky.social · 21/02/2025
The @turingpost.bsky.social send out a survey to its readers. Starting the thing, I already felt excluded a bit 👇👇👇 But hey, being at #Neurips24 already gave be impression that being in academia and working on #AI is a niche profession these days. 🤷
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psteinb.bsky.social @psteinb.bsky.social · 17/02/2025
Is it time to buy a new laptop, if #julia crashes with an OOM error during project build if it can only use 6GB of RAM? #PrematureOptimisation #InvertedReality
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psteinb.bsky.social @psteinb.bsky.social · 14/02/2025
🎉We started with some colleagues of @esciencecenter.bsky.social and 🏴󠁧󠁢󠁷󠁬󠁳󠁿 to devise a @carpentries.carpentries.org lesson on #DeepLearning. Based on the incredible commitment of many individuals, the lesson is now adopted into the carpentries lab! Congrats to all involed! 🥳 github.com/carpentries-...
github.com
[Review]: Introduction to deep learning · Issue #25 · carpentries-lab/reviews
Lesson Title Introduction to deep learning Lesson Repository URL https://github.com/carpentries-incubator/deep-learning-intro Lesson Website URL https://carpentries-incubator.github.io/deep-learnin...
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psteinb.bsky.social @psteinb.bsky.social · 13/02/2025
**Dresden Image Analysis Regulars** We're excited to invite you to a casual get-together where you'll dive into the latest news and advancements in #CV in #Dresden. ⌚ When? Mar 12, 2025, 5:30pm 🧭 Where? Oncoray in Dresden ✔️ How? Just register on the page below events.hifis.net/event/2248/
events.hifis.net
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psteinb.bsky.social @psteinb.bsky.social · 07/02/2025
Didn’t know that #ML in #rust is so rich today: github.com/huggingface/...
github.com
GitHub - huggingface/candle: Minimalist ML framework for Rust
Minimalist ML framework for Rust. Contribute to huggingface/candle development by creating an account on GitHub.
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Harry Thasarathan @hthasarathan.bsky.social · 07/02/2025
🌌🛰️🔭Wanna know which features are universal vs unique in your models and how to find them? Excited to share our preprint: "Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment"! arxiv.org/abs/2502.03714 (1/9)
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psteinb.bsky.social @psteinb.bsky.social · 23/01/2025
Welcome! 🤗
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psteinb.bsky.social @psteinb.bsky.social · 23/01/2025
Great to see flow matching more and more in the wild!
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Paul Hagemann @yungbayesian.bsky.social · 23/01/2025
Our paper "PnP-Flow: Plug-and-Play Image Restoration with Flow Matching" has been accepted to ICLR 2025. Here a short explainer: We want to restore images (i.e., solve inverse problems) using pretrained velocity fields from flow matching. However, using change of variables is super costly.
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psteinb.bsky.social @psteinb.bsky.social · 21/01/2025
This is a lovely episode! I really liked it. I just would wish that citations of books or articles would appear in the show notes. This is often helpful if I am interested to dive deeper into a subject. Perhaps it would help others too?
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psteinb.bsky.social @psteinb.bsky.social · 20/01/2025
Too bad, really. But I understand.
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Dr Charles Smith @smith-brocca.bsky.social · 09/01/2025
My letter in today's Guardian. Just asking, like. But I think we know the answer.
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psteinb.bsky.social @psteinb.bsky.social · 08/01/2025
Especially "1." seems super useful! Keep going strong @johanneskoester.bsky.social and @snakemake.bsky.social !
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psteinb.bsky.social @psteinb.bsky.social · 08/01/2025
What a great episode! Especially proud and happy to discover yet another alumni of @mpicbg.bsky.social ! 😀 🤗 Thanks so much for all these insights @hugobowne.bsky.social
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sbi - Simulation-based inference @sbi-devs.bsky.social · 30/12/2024
🎉 Just in time for the end of the year, we’ve released a new version of sbi! 📦 v0.23.3 comes packed with exciting features, bug fixes, and docs updates to make sbi smoother and more robust. Check it out! 👇 🔗 Full changelog: github.com/sbi-dev/sbi/...
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psteinb.bsky.social @psteinb.bsky.social · 06/01/2025
Thanks so much for the prompt reply. We will have a look and evaluate feasibility of perhaps teaching this and contributing back.
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psteinb.bsky.social @psteinb.bsky.social · 06/01/2025
Great plot! 😍 A bit of clarification for the top entries: cs.CV = computer science->Computer Vision & Pattern Recognition cs.LG = CS->Machine Learning cs.CL = CS->Computation & Language quant-ph = Quantum Physics cs.RO = CS->Robotics cs.AI = CS->Artificial Intelligence
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psteinb.bsky.social @psteinb.bsky.social · 06/01/2025
This looks interesting. If possible, it would be cool to have the code for the plot as #FOSS or publicly available in a citable fashion.
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psteinb.bsky.social @psteinb.bsky.social · 06/01/2025
This was a great episode that I loved very much. @khinsen.net I'd be great to know the repositories behind the MOOCs! I'd love to have a closer look. #reproducibility
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psteinb.bsky.social @psteinb.bsky.social · 18/12/2024
Sure did. Science wise we had extraordinary discussions, although the demands to AI in physics simulation and fluorescence microscopy are vastly different. But that makes it extra fun!
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