Daniel Gedon
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪
PhD Uppsala 🇸🇪
MSc Delft 🇳🇱
Machine learning for science
dgedon.github.io
PhD Uppsala 🇸🇪
MSc Delft 🇳🇱
Machine learning for science
dgedon.github.io
Reposted by Daniel Gedon
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
September 30, 2025 at 2:06 PM
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
Reposted by Daniel Gedon
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 🤗
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 🤗
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
media.tenor.com
September 23, 2025 at 1:00 PM
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 🤗
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 🤗
Reposted by Daniel Gedon
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 🧵
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 🧵
September 9, 2025 at 3:00 PM
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 🧵
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 🧵
Reposted by Daniel Gedon
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.
We were obviously very hungry while writing.
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...
mlcolab.org
July 31, 2025 at 11:54 AM
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.
We were obviously very hungry while writing.
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 🧵
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 🧵
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
July 23, 2025 at 6:45 PM
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 🧵
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 🧵
Reposted by Daniel Gedon
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!!
New preprint: SBI with foundation models!
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
Tired of training or tuning your inference network, or waiting for your simulations to finish? Our method NPE-PF can help: It provides training-free simulation-based inference, achieving competitive performance with orders of magnitude fewer simulations! ⚡️
July 23, 2025 at 2:37 PM
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!!
Reposted by Daniel Gedon
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...
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...
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...
arxiv.org
July 13, 2025 at 1:10 PM
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...
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...
Reposted by Daniel Gedon
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
May 22, 2025 at 4:24 PM
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
Reposted by Daniel Gedon
🎓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
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
Jobs - mackelab
The MackeLab is a research group at the Excellence Cluster Machine Learning at Tübingen University!
www.mackelab.org
April 30, 2025 at 1:43 PM
🎓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
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
Reposted by Daniel Gedon
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
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
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...
arxiv.org
April 25, 2025 at 8:53 AM
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
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
Reposted by Daniel Gedon
🎉 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/...
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/...
April 4, 2025 at 7:36 AM
🎉 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/...
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/...
Reposted by Daniel Gedon
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.
February 14, 2025 at 9:32 AM
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.
Reposted by Daniel Gedon
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 ...🐦⬛
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 ...🐦⬛
February 10, 2025 at 4:48 PM
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 ...🐦⬛
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 ...🐦⬛
Reposted by Daniel Gedon
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... 🧵
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... 🧵
February 3, 2025 at 7:19 PM
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... 🧵
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... 🧵
Reposted by Daniel Gedon
🙏 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! 🙌
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! 🙌
January 28, 2025 at 3:18 PM
🙏 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! 🙌
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! 🙌
Reposted by Daniel Gedon
🚀 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:🧵👇
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:🧵👇
January 14, 2025 at 3:58 PM
🚀 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:🧵👇
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:🧵👇
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.
Also, great work from my PhD group: papers on (1) generalizable policy evaluations from trial data and (2) entropy-regularized diffusion policies for RL.
Thrilled to announce we have three #NeurIPS2024 papers! Interested in simulating realistic neural data with diffusion models or recurrent neural networks, or in source distribution sorcery? Have a look 👇 1/4
December 10, 2024 at 4:42 PM
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.
Also, great work from my PhD group: papers on (1) generalizable policy evaluations from trial data and (2) entropy-regularized diffusion policies for RL.
Reposted by Daniel Gedon
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
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...
arxiv.org
November 27, 2024 at 11:17 AM
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
Reposted by Daniel Gedon
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/NFbVzrA
Tübingen AI
Join the conversation
go.bsky.app
November 19, 2024 at 1:14 PM
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/NFbVzrA
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!
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!
November 18, 2024 at 7:57 PM
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!
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!