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Robert Peharz

@ropeharz

Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.

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21.11.2024
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Latest posts by Robert Peharz @ropeharz

A fantastic opportunity to join us in #Amsterdam for some hardcore #uncertainty in #AI πŸ¦ΎπŸš²πŸŒ·βœ–οΈβœ–οΈβœ–οΈ

#causality #tractable #probabilistic #models #neurosymbolic #imprecise #probabilities #statistical #methods and more

16.12.2025 17:32 πŸ‘ 24 πŸ” 10 πŸ’¬ 2 πŸ“Œ 1
Startup Village - A NeurIPS-endorsed conference in Europe Apply to EurIPS 2025 Startup Village (Dec 3–7, Copenhagen) for booth visibility, pitching, talent access, and research networking.

πŸš€ Put your #AIStartup on the European stage!

At the #EurIPS Startup Village, get a booth + full pass, pitch your vision, connect with researchers, talent & investors, and join the inaugural showcase shaping Europe’s AI future at @euripsconf.bsky.social.

Apply by Oct 30β€”space is limited πŸ‘‰

04.09.2025 07:29 πŸ‘ 8 πŸ” 2 πŸ’¬ 0 πŸ“Œ 1
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Is your company interested in reaching Europe's leading AI researchers?

If so, don't worry! There are still plenty of opportunity to support #EurIPS as a sponsor. Sponsorship packages are available and can be further customized if necessary.

More info at: eurips.cc/become-sponsor/

01.09.2025 08:12 πŸ‘ 8 πŸ” 6 πŸ’¬ 0 πŸ“Œ 1

The @neuripsconf.bsky.social review system on @openreview.bsky.social has gotten perhaps sliiightly overloaded

26.08.2025 16:07 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

(V)iolet (C)rumble dimension

25.08.2025 09:16 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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πŸ“£ Please share: We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (#AISTATS 2026) and welcome paper submissions at the intersection of AI, machine learning, statistics, and related areas. [1/3]

12.08.2025 11:46 πŸ‘ 36 πŸ” 21 πŸ’¬ 2 πŸ“Œ 2

I guess it's great to know about it but, gosh, all the detail... Perhaps variable elimination is a good compromise.

10.08.2025 21:46 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

I'll weigh in with Bayesian networks: excellent to understand conditional independence, probabilistic structure and information flow.

09.08.2025 20:18 πŸ‘ 7 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

A curious @neuripsconf.bsky.social experience: review obviously LLM-generated (but with positive score), we report this to the AC. AC tells us to engage nevertheless (?) and is also poking the reviewer. The discussion just becoming more and more obscure...

07.08.2025 10:27 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Some people just like being cruel...

06.08.2025 14:43 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Many thanks for the best paper award at the #TPM workshop!

02.08.2025 16:13 πŸ‘ 6 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

Let's say the more submissions the truer the statement πŸ˜…
About doubts of a proof and these things: yes, that's what I meant with "not substantially worse".

02.08.2025 15:44 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Absolutely. We would have #EurIPS now in Copenhagen, but, presentation there is just optional. Each paper must still be presented live in San Diego. This whole @neuripsconf.bsky.social ethical correctness yada yada is merely a fig leaf.

02.08.2025 13:21 πŸ‘ 6 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

Hot take (as AC and author): the whole #NeurIPS review process, as is, would not become substantially worse if we just left away the whole rebuttal and discussion phase.

02.08.2025 11:21 πŸ‘ 6 πŸ” 0 πŸ’¬ 2 πŸ“Œ 0
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The trick adopted from #probabilistic #circuits: make PCs deep and structured, representing an exponential number of polynomials! DeepPCE nicely scales to thousands of inputs and is competitive with standard deep neural nets. Big bonus: tractable expectations, covariances and Sobol indices!

30.07.2025 10:01 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

PCE, a classical physical surrogate model, is a linear combination of (tensorproducts of) orthogonal polynomials. But, it doesn't scale gracefully to high dimensions, as the number of polynomials grows exponentially in the number of input dimensions. Also sparseness only helps to a limited extent.

30.07.2025 09:57 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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Many thanks for the best paper award for our Deep Polynomial Chaos Expansion (DeepPCE), received from the #UAI workshop #tractable #probabilistic #modeling #TPM! Many congrats to the team, especially leading author Johannes Exenberger!

The workshop paper:
arxiv.org/abs/2507.21273

30.07.2025 09:54 πŸ‘ 14 πŸ” 1 πŸ’¬ 1 πŸ“Œ 1
Welcome to the Data Mining and Machine Learning Book β€” Data Mining and Machine Learning Jupyter Book

My maternity leave project is now somewhat out: I made a jupyterbook about the basics of ML, that I teach at TUE. You can check it out here:
sibylse.github.io/TUEML/intro....
The linA part is not yet formulated out and there are other todos, but maybe it helps someone with their own course design πŸ˜…

25.07.2025 17:49 πŸ‘ 6 πŸ” 4 πŸ’¬ 1 πŸ“Œ 0
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πŸ“’ Present your NeurIPS paper in Europe!

Join EurIPS 2025 + ELLIS UnConference in Copenhagen for in-person talks, posters, workshops and more. Registration opens soon; save the date:

πŸ“… Dec 2–7, 2025
πŸ“ Copenhagen πŸ‡©πŸ‡°
πŸ”—eurips.cc

#EurIPS
@euripsconf.bsky.social‬

16.07.2025 23:00 πŸ‘ 61 πŸ” 17 πŸ’¬ 2 πŸ“Œ 3
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eurips.cc A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark

NeurIPS is endorsing EurIPS, an independently-organized meeting which will offer researchers an opportunity to additionally present NeurIPS work in Europe concurrently with NeurIPS.

Read more in our blog post and on the EurIPS website:
blog.neurips.cc/2025/07/16/n...
eurips.cc

16.07.2025 22:05 πŸ‘ 124 πŸ” 38 πŸ’¬ 2 πŸ“Œ 3
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EurIPS is coming! πŸ“£ Mark your calendar for Dec. 2-7, 2025 in Copenhagen πŸ“…

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

16.07.2025 22:00 πŸ‘ 143 πŸ” 70 πŸ’¬ 2 πŸ“Œ 19

As I have PERSONALLY worked with him, I can say with certainty that it's the right guy.

02.07.2025 16:55 πŸ‘ 4 πŸ” 0 πŸ’¬ 2 πŸ“Œ 0

Obscure but works?

27.06.2025 13:53 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Hey Prof, not sure whether I passed the exam today, since I didn't bother studying for the subject you are teaching (lol). Anyway, I realize now that I'm in trouble and really need a positive grade very soon. Can you do some extra arrangements for your favourite out of 640 students??

24.06.2025 21:41 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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#Nordic #probabilistic #AI starts in Trondheim πŸ‡³πŸ‡΄

I'll be here for a week TAing and giving a lecture on ⚑ #tractable⚑ models

and I'm in good company @andresmasegosa.bsky.social @vabor112.bsky.social @jesfrellsen.bsky.social and more covering all aspects of 🎲 AI

πŸ‘‰ nordic.probabilistic.ai#lecturers

16.06.2025 07:17 πŸ‘ 18 πŸ” 3 πŸ’¬ 1 πŸ“Œ 0
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Offene Stellen an der Γ–AW Aktuelle Stellenausschreibungen aus den Instituten und der zentralen Verwaltung der Γ–AW

Super interesting postdoc position on ML for Astrophysics/Astrochemistry at the Space Research Institute (IWF) in Graz:
www.oeaw.ac.at/jobs?jh=7tvq...

10.06.2025 10:47 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

I hope you have not forgotten the *mandatory* meta-checklist for checking the checklist?

16.05.2025 04:52 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Is it ok to let an LLM write them? Asking for a friend.

14.05.2025 15:58 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Faithfully yours, nginx.

14.05.2025 10:01 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Have you thought that in computer memory model weights are given in terms of discrete values in any case. Thus, why not do probabilistic inference on the discrete (quantized) parameters. @trappmartin.bsky.social is presenting our work at #AABI2025 today. [1/3]

29.04.2025 06:58 πŸ‘ 45 πŸ” 11 πŸ’¬ 3 πŸ“Œ 1