Great write-up and comparison! I'd also completely forgetting about my original idea and write-up, so thanks @spinkney.bsky.social for improving it and showing it works well in practice!

Sean Pinkney@spinkney.bsky.social · 2w ago

After a couple of months hiatus, a new blog post on directly parameterizing structural zeros in correlation matrices. spinkney.github.io/posts/post-1...

I don't post here very often, so I think it's worth checking in here to note that since I wrote this, I've transitioned to a heavy agent-based dev workflow. Partially that's due to a huge improvement in the models, partially due to some useful skills/harnesses.

Seth Axen 🪓@sethaxen.com · 6mo ago

Yes there are dozens of tasks throughout the day that I can accomplish much faster with AI, but these are usually sporadic and non-routine. Building a whole set of agents to manage these would then become its own large task with little concrete benefit that I can see.

These PhD projects look like a ton of fun!

Jakob Macke@jakhmack.bsky.social · 3w ago

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.

Bring 👏back 🦶blue books! 📘

Nick Davis@ntd.bsky.social · 4w ago

The Age of Take-Home Exams is over. The time of the Bluebook has come.

That feeling when you join a weekly video group check-in with your strength training coach, and the very first word you hear is "Bayesian"... 🤗

Amortized Bayesian Workflow Chengkun LI, Aki Vehtari, Paul-Christian Bürkner et al. Action editor: Tom Rainforth https://openreview.net/forum?id=osV7adJlKD #mcmc #generative #amortized

ArviZ 1.0 is out! We have refactored it to be more modular, flexible & lightweight. For an overview of the changes, check the migration guide. python.arviz.org/en/stable/us...

"Other extensions of the factorial function do exist, but the gamma function is the most popular and useful. " did the gamma function herself/itself write this

Anyone aware of a collection of agent skills tailored towards FOSS workflows for package development and maintenance? Strongly considering writing my own.

If you have been using LOO-PIT, this is a must read for you! @herman-tesso.bsky.social has done excellent work with this paper! Thanks for @florencebockting.bsky.social and @aloctavodia.bsky.social for getting this to bayesplot and ArviZ. I'll notify when I have my casestudies updated with this

Herman@herman-tesso.bsky.social · 5mo ago

If you have been using LOO-PIT, this is a must read for you; "LOO-PIT predictive model checking" by me and @avehtari.bsky.social , doi.org/10.48550/arX.... 1/4

I've been seeing some folks recently explain how they're using agent-based workflows to help manage their life/work. I think it's great that people are sharing this and probably super useful for some. But I still haven't seen a use case that would be helpful for me.

Over the break I was picking away at a personal project where brms is clearly the best tool to use, and hot damn, is brms nice!

Introduce yourself as what almost killed you: Hi there, I'm a hernia

Marissa the Librarian@mtlibrarian.bsky.social · 7mo ago

Introduce yourself as what almost killed you: Hi there, I'm childbirth

I believe eigen fly. I believe eigen touch the sky.

I was pleasantly surprised to find that a TMLR paper last year (openreview.net/forum?id=Kre...) cited in one of their proofs my blog post on injectivity radii for unitary groups (sethaxen.com/blog/2023/02...).

Finally got around to trying out @typst.app, and I'm really surprised how easy the learning curve coming from TeX has been! I'm still not convinced it has all of the features I would want to replace TeX for papers, but it might replace my current TeX-in-MD derivation workflow.

Updating CUDA on my desktop machine today, thoughts and prayers appreciated.

I've been experimenting with using Conventional Commits on some of my repos, and I think I'll start using it everywhere. I found it helps me structure my self-contained commits and spot when which changes were made where more easily. www.conventionalcommits.org/en/v1.0.0/

Great new work from the labs of @jakhmack.bsky.social and @philipp.hertie.ai! The software Jaxley enables brain simulations which both imitate the processes in the brain in detail and can solve challenging cognitive tasks. Press release of @unituebingen.bsky.social: uni-tuebingen.de/en/universit...

Machine Learning in Science@mackelab.bsky.social · 9mo ago

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...

We figured out flow matching over states that change dimension. With "Branching Flows", the model decides how big things must be! This works wherever flow matching works, with discrete, continuous, and manifold states. We think this will unlock some genuinely new capabilities.

Fisher meets Feynman! 🤝 We use score matching and a trick from quantum field theory to make a product-of-experts family both expressive and efficient for variational inference. To appear as a spotlight @ NeurIPS 2025. #NeurIPS2025 (link below)

Yesterday I asked the 7-year-old how he would describe what I do for work. His response: "You do math all day, get paid for no reason, and print things."

"I'm sure I don't have to tell you that #JuliaLang is awesome and Matlab is not" #HeardAtJuliaCon #JuliaCon

MC Stan is here! Follow for the latest Stan news, and tag if you want us to repost your posts about new papers, packages, courses, etc. about Stan

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 🧵

My paper with Loucas Pillaud-Vivien and Lawrence Saul, “Variational Inference for Uncertainty Quantification: An Analysis of Trade-offs”, has been accepted for publication in the Journal of Machine Learning Research. 📃 arxiv.org/abs/2403.13748 🧵 1/

Working from home and overhearing my 7-year-old trying to explain "countable infinity" to my partner using donuts.

Fun read of their amazing contributions to the SBI hackathon! 🥐 The SBI-Pyro bridge that @sethaxen.com built has a lot of potential I believe. I'll actually be presenting this work at @euroscipy.bsky.social this Wednesday - excited to share this with a broader audience. euroscipy.org/talks/KCYYTF/

Pyro Meets SBI: Unlocking Hierarchical Bayesian Inference for Complex Simulators

The EuroSciPy meeting is a cross-disciplinary gathering focused on the use and development of the Python language in scientific research.

euroscipy.org

Seth Axen 🪓@sethaxen.com · last yr.

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.

All three books I've co-authored are freely available online for non-commercial use: - #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/ - #Regression and Other Stories at avehtari.github.io/ROS-Examples/ - Active Statistics at avehtari.github.io/ActiveStatis...

Pro-tip: don't be the poor sod that adds a daily cron trigger to a GitHub Actions workflow that often fails. Long after you've left the project, you will get *daily* failure notifications, and the only way out is to trick some other poor sod into editing the workflow. docs.github.com/en/actions/c...