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Johannes Zenn

@johanneszenn.bsky.social

PhD Student in Machine Learning @unituebingen.bsky.social, @ml4science.bsky.social, @tuebingen-ai.bsky.social, IMPRS-IS; previously intern @vectorinstitute.ai; jzenn.github.io

130 Followers  |  356 Following  |  23 Posts  |  Joined: 14.11.2024  |  2.1119

Latest posts by johanneszenn.bsky.social on Bluesky

Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

22.10.2025 10:11 — 👍 0    🔁 0    💬 0    📌 0
Strategic Hypothesis Testing - [Yatong Chen]
YouTube video by Friday Talks Tübingen Strategic Hypothesis Testing - [Yatong Chen]

A new recording of our FridayTalks@Tübingen series is online!

Strategic Hypothesis Testing
by
@yatongchen.bsky.social

Watch here: youtu.be/VcKpRuUi4cQ

22.10.2025 10:11 — 👍 0    🔁 0    💬 1    📌 0
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Principal Investigator Positions (m/f/d) as Hector Endowed Fellows of the ELLIS Institute Tübingen

🚀 The new call for Principal Investigators as Hector Endowed Fellows at the ELLIS Institute Tübingen is now open!
These positions offer the exciting possibility of co-appointments with the @mpi-is.bsky.social and the @tuebingen-ai.bsky.social .

📌 Apply here: institute-tue.ellis.eu/en/jobs/PI-c...

17.10.2025 09:41 — 👍 3    🔁 5    💬 0    📌 0
Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

26.09.2025 06:38 — 👍 0    🔁 0    💬 0    📌 0
The Curse of Depth in Large Language Models - [Shiwei Liu]
YouTube video by Friday Talks Tübingen The Curse of Depth in Large Language Models - [Shiwei Liu]

A new recording of our FridayTalks@Tübingen series is online!

The Curse of Depth in Large Language Models
by
@shiweiliu.bsky.social

Watch here: youtu.be/knVOH3oM_-I

26.09.2025 06:37 — 👍 1    🔁 0    💬 1    📌 0
Preview
a man wearing a white shirt and tie smiles in front of a window ALT: a man wearing a white shirt and tie smiles in front of a window

I've been waiting some years to make this joke and now it’s real:

I conned somebody into giving me a faculty job!

I’m starting as a W1 Tenure-Track Professor at Goethe University Frankfurt in a week (lol), in the Faculty of CS and Math

and I'm recruiting PhD students 🤗

23.09.2025 12:58 — 👍 186    🔁 31    💬 30    📌 3
Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

11.09.2025 13:18 — 👍 0    🔁 0    💬 0    📌 0
AI Safety and Alignment - [Maksym Andriushchenko]
YouTube video by Friday Talks Tübingen AI Safety and Alignment - [Maksym Andriushchenko]

A new recording of our FridayTalks@Tübingen series is online!

AI Safety and Alignment
by
@maksym-andr.bsky.social

Watch here: youtu.be/7WRW8MDQ8bk

11.09.2025 13:18 — 👍 6    🔁 1    💬 1    📌 0
Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

01.09.2025 13:08 — 👍 0    🔁 0    💬 0    📌 0
Why LLM Benchmarks are Broken and How to Fix It? - [Guanhua Zhang]
YouTube video by Friday Talks Tübingen Why LLM Benchmarks are Broken and How to Fix It? - [Guanhua Zhang]

A new recording of our FridayTalks@Tübingen series is online!

Why LLM Benchmarks are Broken and How to Fix It?
by
Guanhua Zhang

Watch here: youtu.be/X820NwnHu-c

01.09.2025 13:08 — 👍 0    🔁 0    💬 1    📌 0
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Want to get started with theoretical analysis of probabilistic decision-making algos (bandits, BO, planning, etc.), but don't know where to start? Existing literature too dense to parse?

arxiv.org/abs/2508.21620

I've written a self-contained introductory monograph on this!

01.09.2025 11:15 — 👍 6    🔁 1    💬 0    📌 0
Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

29.08.2025 07:05 — 👍 0    🔁 0    💬 0    📌 0
How much can we forget about Data Contamination? - [Sebastian Bordt]
YouTube video by Friday Talks Tübingen How much can we forget about Data Contamination? - [Sebastian Bordt]

A new recording of our FridayTalks@Tübingen series is online!

How much can we forget about Data Contamination?
by
@sbordt.bsky.social

Watch here: youtu.be/T9Y5-rngOLg

29.08.2025 07:05 — 👍 2    🔁 1    💬 1    📌 0
Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

19.08.2025 05:58 — 👍 0    🔁 0    💬 0    📌 0
Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
YouTube video by Friday Talks Tübingen Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics

A new recording of our FridayTalks@Tübingen series is online!

Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
by
@chs20.bsky.social & Naman Deep Singh

Watch here: www.youtube.com/watch?v=sK9Y...

19.08.2025 05:58 — 👍 0    🔁 0    💬 1    📌 0
Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

11.08.2025 12:40 — 👍 0    🔁 0    💬 0    📌 0
Large Language Models Are Zero-Shot Problem Solvers—Just Like Modern Computers - [Tim Xiao]
YouTube video by Friday Talks Tübingen Large Language Models Are Zero-Shot Problem Solvers—Just Like Modern Computers - [Tim Xiao]

A new recording of our FridayTalks@Tübingen series is online!

Large Language Models Are Zero-Shot Problem Solvers—Just Like Modern Computers
by
Tim Z. Xiao

Watch here: www.youtube.com/watch?v=ySHu...

11.08.2025 12:40 — 👍 3    🔁 0    💬 1    📌 0
Friday Talks @ Tübingen A place to exchange your ideas with your Tübingen AI research community!

More details can be found at fridaytalks.github.io!

05.08.2025 07:07 — 👍 0    🔁 0    💬 0    📌 0
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
YouTube video by Friday Talks Tübingen Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models

A new recording of our FridayTalks@Tübingen series is online!

Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
by
@vetterj.bsky.social & Manuel Gloeckler from @mackelab.bsky.social

Watch here: youtube.com/watch?v=Wx2p...

05.08.2025 07:07 — 👍 3    🔁 0    💬 1    📌 0
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📣 [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/

04.07.2025 22:55 — 👍 17    🔁 5    💬 1    📌 1

@unituebingen.bsky.social Tübingen has won 6 out of 9! Not too bad, is it? 👍 Congratulations to all winning teams!

22.05.2025 17:00 — 👍 4    🔁 1    💬 0    📌 0
The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.

The members of the Cluster of Excellence "Machine Learning: New Perspectives for Science" raise their glasses and celebrate securing another funding period.

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

22.05.2025 16:23 — 👍 74    🔁 20    💬 4    📌 5
Das Bild zeigt einen Brunnen vor der Neuen Aula. Darunter der Text: Sechs Exzellenzcluster werden in Tübingen gefördert.

Das Bild zeigt einen Brunnen vor der Neuen Aula. Darunter der Text: Sechs Exzellenzcluster werden in Tübingen gefördert.

Die Universität Tübingen erhält sechs #Exzellenzcluster, die im Rahmen der #Exzellenzstrategie vom 01.01.2026 an sieben Jahre lang gefördert werden! Darunter drei Cluster, die bereits etabliert sind und eine erneute Förderung erhalten. uni-tuebingen.de/universitaet... #ExStra #Forschung #UniTübingen

22.05.2025 17:13 — 👍 70    🔁 29    💬 5    📌 4

Great idea! Are there any plans to do this for other subfields as well?

21.02.2025 12:54 — 👍 4    🔁 0    💬 1    📌 0

Unfortunately, voting at a German embassy is not an option.

21.02.2025 12:47 — 👍 0    🔁 0    💬 0    📌 0

I'm extremely disappointed with the organization of the upcoming German election. Voting is a fundamental right, yet my ballot letter arrived too late in Toronto—now the fastest! delivery won't get it there by Monday, after the election. Unacceptable.

20.02.2025 14:46 — 👍 3    🔁 0    💬 2    📌 0

More generally, we believe that the variational expectation maximization algorithm can be a useful tool for many physico-chemical prediction problems since it balances structure-based and representation-learning based predictions by weighing of their respective uncertainties.

31.01.2025 14:45 — 👍 0    🔁 0    💬 0    📌 0

We extend a probabilistic matrix factorization method (Jirasek et al., 2020) by learning priors from the chemical structure of mixture components utilizing graph neural networks and the variational expectation maximization algorithm which significantly improves the predictive accuracy over the SOTA.

31.01.2025 14:45 — 👍 0    🔁 0    💬 1    📌 0

Predicting the physico-chemical properties of pure substances and mixtures is a central task in
thermodynamics. We propose a method for combining molecular descriptors with representation learning for the prediction of activity coefficients of binary liquid mixtures at infinite dilution.

31.01.2025 14:45 — 👍 0    🔁 0    💬 1    📌 0
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Balancing molecular information and empirical data in the prediction of physico-chemical properties Predicting the physico-chemical properties of pure substances and mixtures is a central task in thermodynamics. Established prediction methods range from fully physics-based ab initio calculations, wh...

I am happy to share that we (finally!) took the time to publish parts of my Master's thesis as a paper (pubs.rsc.org/en/content/a...). Huge thanks to Dominik Gond, Fabian Jirasek and Robert Bamler. Check it out if you are interested in applications of machine learning to chemical engineering!

31.01.2025 14:45 — 👍 5    🔁 0    💬 1    📌 0

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