Moritz Schauer's Avatar

Moritz Schauer

@mschauer.bsky.social

Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]

1,885 Followers  |  998 Following  |  211 Posts  |  Joined: 19.09.2023  |  2.09

Latest posts by mschauer.bsky.social on Bluesky

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Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery High-throughput phenotypic screens generate vast microscopy image datasets that push the limits of generative models due to their large dimensionality. Despite the growing popularity of general-purpos...

Excited to share our recent paper, ”Compressing Biology,” to be presented at the Imageomics workshop at NeurIPS 2025. 🔬💻 Work led by my amazing PhD student Télio Cropsal. #cellpainting #stablediffusion #imageomics

arxiv.org/abs/2510.19887

30.10.2025 16:22 — 👍 6    🔁 3    💬 1    📌 0

#AITHYRA, Vienna's new Biomedical AI institute, is hiring Postdocs!

Come work with us. Openings in: 🔹 Generative AI 🔹 Multimodal ML 🔹 Virology 🔹 Enzyme Function

Apply by Nov 20: oeaw.ac.at/aithyra/post... #PostDoc #AI #ML #Vienna #ScienceJobs

20.10.2025 15:46 — 👍 5    🔁 2    💬 0    📌 0
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Great first day of the 3rd annual CHAIR Structured Learning Workshop @ Chalmers! 🥳

Event page & agenda: ui.ungpd.com/Events/60bfc...

1st day featuring:
@betapata.bsky.social
@janstuehmer.bsky.social
@arnauddoucet.bsky.social
@frejohk.bsky.social

28.10.2025 22:47 — 👍 10    🔁 4    💬 1    📌 0
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Very nice by Jun Otsuka @junotk.bsky.social and Hayato Saigo: link.springer.com/article/10.1...
about causal interventions/do calculus via string diagram surgery

17.09.2025 14:04 — 👍 8    🔁 2    💬 0    📌 0

Our process causation paper is published in Synthese! We propose that process causation (a la Salmon, Dowe, MDC new mechanists) can be modeled using a category-theoretic framework.
link.springer.com/article/10.1...

31.07.2025 04:57 — 👍 8    🔁 2    💬 1    📌 1

Confounding is just the failure of the Doob conditioning functor from a Markov category into the associated category of backward-forward optics to be lax comonoidal

11.09.2025 13:12 — 👍 3    🔁 0    💬 0    📌 0
These guidelines were originally created by Michael Hicks for POPL 2012, and slightly modified for PLDI 2012.

Oh, hats up to Mike Hicks who authored a policy paragraph on double-blind reviewing and amphibious type systems for POPL 2013 which has stand the test of time and is used in ICSME, OOPSLA, ECOOP, SPLASH, ICFP, PLDI, POPL, CSF, CAV... pldi12.cs.purdue.edu/others/dbr-f...

04.09.2025 08:33 — 👍 2    🔁 0    💬 0    📌 0
Post image 27.08.2025 12:28 — 👍 9    🔁 3    💬 0    📌 0

"But I am conditioning on the outcome all the time and I think I understand the world just fine!"

20.08.2025 14:11 — 👍 5    🔁 0    💬 0    📌 0

Nice this is getting close to a recursive situation where ignoring collider bias you can find evidence that collider bias is all made up.

20.08.2025 12:52 — 👍 3    🔁 0    💬 0    📌 0
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2025 CHAIR Structured Learning Workshop -- Apply to attend: ui.ungpd.com/Events/60bfc...

06.05.2025 10:02 — 👍 13    🔁 5    💬 0    📌 0
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A golden Marburg Weidenhausen night accentuated by blue paper recycling bins…

08.08.2025 19:19 — 👍 6    🔁 1    💬 0    📌 0

I wanted a poster session on a ferris wheel

27.07.2025 06:20 — 👍 2    🔁 0    💬 0    📌 0
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So this is how I learned programming when I was twelve! 😃

14.07.2025 17:15 — 👍 4    🔁 0    💬 0    📌 0

Are you passionate about AI for molecular engineering? Just two weeks left to apply to the 2 PhD positions currently open in our team at Chalmers! 🎓

For details: ailab.bio/join-us

07.07.2025 07:29 — 👍 5    🔁 6    💬 0    📌 0

Somehow relatedly I sometimes think of Bayesian inference as harm reduction tool as well

05.07.2025 07:54 — 👍 2    🔁 0    💬 0    📌 0

Please, please put your hyperparameter tuning procedure into the paper. For your method and the baselines

03.07.2025 04:13 — 👍 55    🔁 1    💬 1    📌 0

Ich habe versucht meinen Kollegen dieses deutsche Konzept zu erklären und dabei kam ich stark ins Zweifeln ob die Kinder wirklich einfach nach Hause geschickt werden?! Aber anscheinend hatte ich es richtig 🙃

02.07.2025 12:38 — 👍 1    🔁 0    💬 1    📌 0
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Yeah Moritz, *electricity*, that’s totally why you were doing this (bridges for random walks on random graphs)

26.06.2025 06:14 — 👍 0    🔁 0    💬 0    📌 0

I can only recommend it, it was a very nice experience when I did it.

25.06.2025 12:26 — 👍 1    🔁 0    💬 0    📌 0

link 📈🤖
Parallel computations for Metropolis Markov chains with Picard maps (Grazzi, Zanella) We develop parallel algorithms for simulating zeroth-order (aka gradient-free) Metropolis Markov chains based on the Picard map. For Random Walk Metropolis Markov chains targeting log-concave distributio

12.06.2025 17:06 — 👍 1    🔁 1    💬 0    📌 0

Don’t let your idea of good wine be shaped by a generation you wouldn’t trust to choose the tiles for an underpass

20.06.2025 08:15 — 👍 2    🔁 0    💬 0    📌 0
Bayes Comp 2025

bayescomp2025.sg

18.06.2025 08:00 — 👍 1    🔁 0    💬 0    📌 0
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Tomorrow at #BayesComp @rseyer.bsky.social with arxiv.org/abs/2504.12190 (poster presentation, 19 Jun 2025, 5.30pm - 7.30pm local time)

18.06.2025 07:30 — 👍 6    🔁 1    💬 1    📌 0

It’s giving late-game vibes of Sid Meier’s Civilization, where the player is bored and just trying to see what happens if they declare some wars before they abandon the game.

17.06.2025 16:56 — 👍 8    🔁 0    💬 0    📌 0

Yeah, in general you should be averaging the densities not the means, and I took a shortcut that for Bernoullis this is the same

17.06.2025 14:42 — 👍 1    🔁 0    💬 0    📌 0
A university profile of "Dr Amy Lloyd" who works as a research fellow on Alzheimer's research

A university profile of "Dr Amy Lloyd" who works as a research fellow on Alzheimer's research

Has nominative determinism gone too far

h/t @benjaminschneider.ch

17.06.2025 12:12 — 👍 158    🔁 24    💬 6    📌 2

Reads like made up reasons. As if dual licensing didn’t exist.

17.06.2025 11:56 — 👍 3    🔁 0    💬 1    📌 0
https://xkcd.com/2110/

https://xkcd.com/2110/

Right, you don't need error bars on error bars.
Probabilistic uncertainty about uncertainty collapses. This is the “monadic join” in probability.
Instead of a coin with random bias p ∼ π, you can flip a coin with the deterministic bias μ.
Just take μ = E[p]. #statistics

17.06.2025 10:01 — 👍 24    🔁 3    💬 2    📌 1

Uh, was it even wrong? Now that I read it, it reads like a grammar thing... (the year of the letter vs year of the disease)

16.06.2025 12:20 — 👍 0    🔁 0    💬 1    📌 0

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