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Philipp Hennig @philipphennig.bsky.social · 12/09/2025

The very first international conference on Probabilistic Numerics is now over. Huge thanks to @motonobu-kanagawa.bsky.social for hosting us at the French Riviera! It was amazing to see so many contributed works across Europe. Proceedings at proceedings.mlr.press/v271/. Read on for what's next!

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Reposted by Philipp Hennig

NeurIPS Europe @neuripseurope.bsky.social · 16/07/2025

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc

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Philipp Hennig @philipphennig.bsky.social · 05/07/2025

Agustinus is hiring! A great place to start a research journey.

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Philipp Hennig @philipphennig.bsky.social · 16/04/2025

How is it 2025 and we still don't have established structures for citeable research code, with quality control? This seems like a step in the right direction.

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Frank Schneider @fsschneider.bsky.social · 16/04/2025

Tired of your open-source ML work not getting the academic recognition it deserves? 🤔 Submit to the first-ever CodeML workshop at #ICML2025! It focuses on new libraries, improvements to established ones, best practices, retrospectives, and more. codeml-workshop.github.io/codeml2025/

codeml-workshop.github.io

CODEML Workshop

Championing Open-source Development in Machine Learning.

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AlgoPerf @algoperf.bsky.social · 03/04/2025

We're all about acceleration! 😉 Watch @priya-kasimbeg.bsky.social & @fsschneider.bsky.social speedrun an explanation of the AlgoPerf benchmark, rules, and results all within a tight 5 minutes for our #ICLR2025 paper video on "Accelerating Neural Network Training". See you in Singapore!

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Philipp Hennig @philipphennig.bsky.social · 17/03/2025

The set of possible solutions to a linear(ized) PDE matching a discretisation can be used as an informed prior for the nonlinear, exact PDE. If that sentence makes your head spin, the good news is that @timwei.land has already implemented it all for you in Julia, with full #probnum functionality.

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Tim Weiland @timwei.land · 17/03/2025

⚙️ Want to simulate physics under uncertainty, at FEM accuracy, without much computational overhead? Read on to learn about the exciting interplay of stochastic PDEs, Markov structures and sparse linear algebra that make it possible... 🧵 1/8

A plot comparing the performance of different methods to numerically solve PDEs. The x-axis depicts the compute time in seconds, the y-axis depicts the relative error to the ground-truth solution in percentage. The graph for the "standard" finite element method has the steepest downward slope and thus the best performance. Our methods based on Gaussian Markov Random Fields achieve the same accuracies as the finite element method, but at slight computational overheads, depicted by their graphs having a slightly flatter slope. For instance, the highest accuracy solves require ~8-9 seconds for FEM and ~25 seconds for our GMRF-based method.

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Andreas Geiger @andreasgeiger.bsky.social · 28/02/2025

At the Tübingen AI Center @tuebingen-ai.bsky.social we are offering a permanent lecturer position (research+teaching of basic courses in technical computer science). Those are quite rare in Germany. You need to speak German though. Apply here: tuebingen.ai/careers/teac...

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Tübingen AI Center @tuebingen-ai.bsky.social · 24/02/2025

Job alert: Join Us as a Technology Transfer Project Coordinator! Would you like to collaborate with Prof. Peter Gehler's team on "Machine Learning in the World"? Check out our open position here: buff.ly/3QwIW4p

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ELLIS Institute Finland @ellisinstitute.fi · 14/02/2025

If you want to start your own research group in AI & machine learning, with access to top resources for research incl. @lumi-supercomputer.eu, generous starting package & professorship affiliation with a university in the world’s happiest country, apply by March 9: www.ellisinstitute.fi/PI-recruit

ellisinstitute.fi

Principal Investigator positions at ELLIS Institute Finland | ELLIS Institute Finland

Now recruiting new PIs in artificial intelligence and machine learning

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Philipp Hennig @philipphennig.bsky.social · 12/02/2025

Just under a month to the deadline, the first submissions are beginning to arrive. Looking to share your work on Bayesian Quadrature, ODE-Filters, GP-PDE-solvers, computation-aware deep learning, linear algebra, and beyond, with an audience that cares? Consider submitting your work!

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Motonobu Kanagawa @motonobu-kanagawa.bsky.social · 17/01/2025

ProbNum 2025 has its own beautiful style file, developed by @philipphennig.bsky.social ! Enjoy using it if you consider a submission, the deadline of which is the 3rd of March. probnum25.github.io/submissions

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Philipp Hennig @philipphennig.bsky.social · 15/01/2025

I recently put the style pack for #ProbNum25 on probnum25.github.io. Designing it was an interesting experience. I was tempted to propose a 16:9 screen-centric layout (who still prints papers?), but I got feedback this wouldn't look "serious". So I went for... (1/2)

Reposted by Philipp Hennig

Bálint Mucsányi @bmucsanyi.bsky.social · 03/12/2024

Thrilled to share our NeurIPS spotlight on uncertainty disentanglement! ✨ We study how well existing methods disentangle different sources of uncertainty, like epistemic and aleatoric. While all tested methods fail at this task, there are promising avenues ahead. 🧵 👇 1/7 📖: arxiv.org/abs/2402.19460

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Philipp Hennig @philipphennig.bsky.social · 18/11/2024

I made an account here to repost this! Join us for the first ever international conference on probabilistic numerics. We made a style pack and everything.

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