Philipp Hennig
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philipphennig.bsky.social
Philipp Hennig
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
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!
September 12, 2025 at 7:56 AM
Reposted by Philipp Hennig
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
July 16, 2025 at 10:01 PM
Agustinus is hiring! A great place to start a research journey.
📣 [Openings] I'm now an Assistant Prof @westernu.ca CS dept. Funded PhD & MSc positions available! Topics: large probabilistic models, decision-making under uncertainty, and apps in AI4Science. More on agustinus.kristia.de/openings/
July 5, 2025 at 6:54 AM
Reposted by Philipp Hennig
We've written a monograph on Gaussian processes and reproducing kernel methods (with @philipphennig.bsky.social, @sejdino.bsky.social and Bharath Sriperumbudur).

arxiv.org/abs/2506.17366
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
This monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using reproducing kernel Hilb...
arxiv.org
June 24, 2025 at 8:35 AM
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.
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
Championing Open-source Development in Machine Learning.
codeml-workshop.github.io
April 16, 2025 at 11:57 AM
Reposted by Philipp Hennig
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
Championing Open-source Development in Machine Learning.
codeml-workshop.github.io
April 16, 2025 at 10:15 AM
Reposted by Philipp Hennig
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!
April 3, 2025 at 11:15 AM
Reposted by Philipp Hennig
The explainer video: www.youtube.com/watch?v=_yX1...
ICLR 2025: Accelerating Neural Network Training (AlgoPerf)
YouTube video by Tübingen Machine Learning
www.youtube.com
April 3, 2025 at 11:15 AM
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.
⚙️ 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
March 17, 2025 at 6:06 PM
Reposted by Philipp Hennig
⚙️ 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
March 17, 2025 at 12:25 PM
Reposted by Philipp Hennig
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...
February 28, 2025 at 8:22 AM
Reposted by Philipp Hennig
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: https://buff.ly/3QwIW4p
February 24, 2025 at 4:01 PM
Reposted by Philipp Hennig
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
Principal Investigator positions at ELLIS Institute Finland | ELLIS Institute Finland
Now recruiting new PIs in artificial intelligence and machine learning
www.ellisinstitute.fi
February 14, 2025 at 11:32 AM
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!
The submission site for ProbNum 2025 is now open! The deadline is March 5th. We welcome your beautiful work on probabilistic numerics and related areas!

probnum25.github.io/submissions
February 12, 2025 at 8:14 PM
Reposted by Philipp Hennig
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
January 17, 2025 at 9:06 AM
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)
ProbNum25
Coming
probnum25.github.io
January 15, 2025 at 4:04 PM
Reposted by Philipp Hennig
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
December 3, 2024 at 1:38 PM
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.
We are organising the First International Conference on Probabilistic Numerics (ProbNum 2025) at EURECOM in southern France in Sep 2025. Topics: AI, ML, Stat, Sim, and Numerics. Reposts very much appreciated!

probnum25.github.io
November 18, 2024 at 4:30 PM