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Daniel Gedon

@danielged.bsky.social
418 followers 476 following 18 posts

PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io

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Daniel Gedon @danielged.bsky.social · 04/08/2026
We are organizing the Sim2Science workshop at @neuripsconf.bsky.social! 🔬 Simulators like AlphaFold, VASP, and JOREK power modern science. But they're all imperfect. So, how do we do better science with imperfect models? sim2science.com
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Jakob Macke @jakhmack.bsky.social · 14/07/2026
We are excited to announce up to 3 PhD positions in a new project on using ML for "Extracting Probabilistic Representations in Exponential Quantum Spaces" (EXPRESSO) with @philipphennig.bsky.social , @mariokrenn.bsky.social, Igor Lesanovsky, @gmartius.bsky.social in the @ml4science.bsky.social.
quantiki.org
PhD Positions in Quantum Physics and Machine Learning | Quantiki
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Stefan Wahl @stewah.bsky.social · 07/07/2026
Tomorrow, I will be presenting our work on a probabilistic framework for LLM-based model discovery at ICML! Come by and say hello if you're around!
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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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Daniel Gedon @danielged.bsky.social · 26/06/2026
This project closes a loop for me personally. I first learned about SMC almost 7 years ago. With ModelSMC we found a way to include LLMs in a meaningful way within SMC. But more importantly: we want to shift from oracle-style usage of LLM in science to viewing discovery as inference! Check it out!
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Daniel Gedon @danielged.bsky.social · 24/01/2026
Back from 3 days of hackathon in beautiful Grenoble! ⛰️ It was fun to prepare and run the tutorial with @janboelts.bsky.social. Great discussions, new insights for us, and exciting to see researchers progress on their projects 🚀 Thanks to Pedro Rodriguez and others for organizing and hosting 👏
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Daniel Gedon @danielged.bsky.social · 03/12/2025
Go and work with Richard! If I were starting a PhD again, he’d be at the top of my list. He’s a brilliant researcher and it's just genuine fun with him!
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Daniel Gedon @danielged.bsky.social · 01/12/2025
I’m at NeurIPS in San Diego this week to present cool work on foundation models for SBI! Most importantly, I’ll be around to meet people and discuss science. 👨‍🔬
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Machine Learning in Science @mackelab.bsky.social · 01/12/2025
Our group is at NeurIPS and EurIPS this year with four papers and one workshop poster. If you are either curious about SBI with autoML, with foundation models, or on function spaces or about differentiable simulators with Jaxley, have a look below 👇 1/11
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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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Machine Learning in Science @mackelab.bsky.social · 30/09/2025
The Macke lab is well-represented at the @bernsteinneuro.bsky.social conference in Frankfurt this year! We have lots of exciting new work to present with 7 posters (details👇) 1/9
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Richard Gao @rdgao.bsky.social · 23/09/2025
I've been waiting some years to make this joke and now it’s real: I conned somebody into giving me a faculty job! I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math and I'm recruiting PhD students 🤗
media.tenor.com
a man wearing a white shirt and tie smiles in front of a window
ALT: a man wearing a white shirt and tie smiles in front of a window
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sbi - Simulation-based inference @sbi-devs.bsky.social · 09/09/2025
From hackathon to release: sbi v0.25 is here! 🎉 What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯 1/7 🧵
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Seth Axen 🪓 @sethaxen.com · 31/07/2025
Sharing this here a bit late, but @vstaros.bsky.social and I wrote a little something about our experience contributing to the @sbi-devs.bsky.social (simulation-based inference) hackathon. @mlcolab.org @mackelab.bsky.social We were obviously very hungry while writing.
mlcolab.org
A retrospective on the 2025 SBI Hackathon
You walk into a bakery, take one bite of a still-warm pastry, and think: “Whoa - there’s rye flour, a hint of orange zest, maybe cardamom… and is that buckwheat honey?” From that single taste you begi...
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Daniel Gedon @danielged.bsky.social · 23/07/2025
My first paper on simulation-based inference (SBI) as part of @mackelab.bsky.social! Exciting work on adapting state-of-the-art foundation models for posterior estimation. Almost plug-and-play, and surprisingly effective. Paper/code in thread below 🧵
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Jakob Macke @jakhmack.bsky.social · 23/07/2025
I have been genuinely amazed how well tabpfn works as a density estimator, and how helpful this is for SBI ... Great work by @vetterj.bsky.social, Manuel and @danielged.bsky.social!!
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Francis Bach @bachfrancis.bsky.social · 13/07/2025
What if AI isn’t about building solo geniuses, but designing social systems? Michael Jordan advocates blending ML, economics, and uncertainty management to prioritize social welfare over mere prediction. A must-read rethink. arxiv.org/abs/2507.062...
arxiv.org
A Collectivist, Economic Perspective on AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word "intelligence" is being used as...
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ML for Science @ml4science.bsky.social · 22/05/2025
We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy
The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.
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Machine Learning in Science @mackelab.bsky.social · 30/04/2025
🎓Hiring now! 🧠 Join us at the exciting intersection of ML and Neuroscience! #AI4science We’re looking for PhDs, Postdocs and Scientific Programmers that want to use deep learning to build, optimize and study mechanistic models of neural computations. Full details: www.mackelab.org/jobs/ 1/5
mackelab.org
Jobs - mackelab
The MackeLab is a research group at the Excellence Cluster Machine Learning at Tübingen University!
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Machine Learning in Science @mackelab.bsky.social · 25/04/2025
Excited to present our work on compositional SBI for time series at #ICLR2025 tomorrow! If you're interested in simulation-based inference for time series, come chat with Manuel Gloeckler or Shoji Toyota at Poster #420, Saturday 10:00–12:00 in Hall 3. 📰: arxiv.org/abs/2411.02728
arxiv.org
Compositional simulation-based inference for time series
Amortized simulation-based inference (SBI) methods train neural networks on simulated data to perform Bayesian inference. While this strategy avoids the need for tractable likelihoods, it often requir...
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sbi - Simulation-based inference @sbi-devs.bsky.social · 04/04/2025
🎉 Exciting news! We are lauching an sbi office hour! Join the sbi developers Thursdays 09:45-10:15am CET via Zoom (link: sbi Discord's "office hours" channel). Get guidance on contributing, explore sbi for your research, or troubleshoot issues. Come chat with us! 🤗 github.com/sbi-dev/sbi/...
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Paul Häusner @paulhausner.bsky.social · 14/02/2025
This week, we had the pleasure of hosting Sweden’s first @logconference.bsky.social meetup at Uppsala University! Over two days, we brought together researchers and industry professionals working at the intersection of machine learning, graphs, and geometry.
Jens Sjölund giving the opening remarks for the LoG meetupAudience of the LoG meetupPoster session at the LoG meetupOrganizing team of the LoG meetup
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Jonas @jonasgeiping.bsky.social · 10/02/2025
Ok, so I can finally talk about this! We spent the last year (actually a bit longer) training an LLM with recurrent depth at scale. The model has an internal latent space in which it can adaptively spend more compute to think longer. I think the tech report ...🐦‍⬛
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Auguste Schulz @auschulz.bsky.social · 03/02/2025
1) Some exciting science in turbulent times: How do mice distinguish self-generated vs. object-generated looming stimuli? Our new study combines VR and neural recordings from superior colliculus (SC) 🧠🐭 to explore this question. Check out our preprint doi.org/10.1101/2024... 🧵
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sbi - Simulation-based inference @sbi-devs.bsky.social · 28/01/2025
🙏 Please help us improve the SBI toolbox! 🙏 In preparation for the upcoming SBI Hackathon, we’re running a user study to learn what you like, what we can improve, and how we can grow. 👉 Please share your thoughts here: forms.gle/foHK7myV2oaK... Your input will make a big difference—thank you! 🙌
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sbi - Simulation-based inference @sbi-devs.bsky.social · 14/01/2025
🚀 Join the 4th SBI Hackathon! 🚀 The last SBI hackathon was a fantastic milestone in forming a collaborative open-source community around SBI. Be part of it this year as we build on that momentum! 📅 March 17–21, 2025 📍 Tübingen, Germany or remote 👉 Details: github.com/sbi-dev/sbi/... More Info:🧵👇
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Daniel Gedon @danielged.bsky.social · 10/12/2024
Check out all three NeurIPS papers from our lab! Cool stuff from simulating neural data to source distribution estimation. Also, great work from my PhD group: papers on (1) generalizable policy evaluations from trial data and (2) entropy-regularized diffusion policies for RL.
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sbi - Simulation-based inference @sbi-devs.bsky.social · 27/11/2024
The sbi package is growing into a community project 🌍 To reflect this and the many algorithms, neural nets, and diagnostics that have been added since its initial release, we have written a new software paper 📝 Check it out, and reach out if you want to get involved: arxiv.org/abs/2411.17337
arxiv.org
sbi reloaded: a toolkit for simulation-based inference workflows
Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challeng...
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Sebastian Dziadzio @dziadzio.bsky.social · 19/11/2024
Here's a fledgling starter pack for the AI community in Tübingen. Let me know if you'd like to be added! go.bsky.app/NFbVzrA
go.bsky.app
Tübingen AI
Join the conversation
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Daniel Gedon @danielged.bsky.social · 18/11/2024
Let's start this blue journey 🦋 I recently started as a postdoc in AI for science in Tübingen at @mackelab.bsky.social. I will focus on model discovery, but I am more broadly interested in developing ML methods for science for some hopeful breakthroughs!
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