iiinova — where your digital self keeps evolving

Reposted by Johannes Zenn

ML for Science @ml4science.bsky.social · 16/06/2026

We are recruiting several Early Career Research Group Leaders for Machine Learning in Science (m/f/d; E14 TV-L, 100%) in Tübingen! Open to researchers directly after their PhD or with postdoctoral experience. Application deadline: July 15, 2026. More info: uni-tuebingen.de/en/128980#c2... 1/2

Image with the text: Open Positions: Early Career Research Group Leaders for Machine Learning in Science (m/f/d, E14 TV-L, 100%). Application Deadline: July 15, 2026.

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Johannes Zenn @johanneszenn.bsky.social · 21/04/2026

A new recording of our FridayTalks@Tübingen series is online! SoftJAX & SoftTorch: Soft Differentiable Programming for Scientific Machine Learning by @andregeist.bsky.social Watch here: youtu.be/7Q8tuxDGP-Y

youtu.be

SoftJAX & SoftTorch: Soft Differentiable Programming for Scientific Machine Learning - [@AndReGeist]

YouTube video by Friday Talks Tübingen

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ELLIS Institute Tübingen @ellisinsttue.bsky.social · 20/04/2026

The Breach: When AI Starts to Cheat 🚨 New research by PIs Jonas Geiping and Maksym Andriushchenko says we have a major blind spot. Most safety systems plan to rely on a smaller monitor model to watch over an untrusted AI agent. 👉 institute-tue.ellis.eu/en/news/the-...

institute-tue.ellis.eu

The Breach: When AI Starts to Cheat

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Johannes Zenn @johanneszenn.bsky.social · 10/04/2026

A new recording of our FridayTalks@Tübingen series is online! Training Dynamics Impact Post-Training Quantization Robustness by Albert Catalán-Tatjer Watch here: youtu.be/_G_TA3THjiw

youtu.be

Training Dynamics Impact Post-Training Quantization Robustness - [Albert Catalan-Tatjer]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 25/03/2026

A new recording of our FridayTalks@Tübingen series is online! Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding by Alexander Conzelmann Watch here: youtu.be/CsXDtg4w9hM

youtu.be

Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 12/03/2026

A new recording of our FridayTalks@Tübingen series is online! Adaptive Symmetrization of the KL Divergence by @omribendov.bsky.social Watch here: youtu.be/VPu1Rd4TmkU

youtu.be

Adaptive Symmetrization of the KL Divergence - [Omri Ben-Dov]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 05/03/2026

A new recording of our FridayTalks@Tübingen series is online! Flexible Gravitational-Wave Parameter Estimation with Transformers by @annalenakofler.bsky.social Watch here: youtu.be/WPpZBYvHr0A

youtu.be

Flexible Gravitational-Wave Parameter Estimation with Transformers - [Annalena Kofler]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 10/02/2026

A new recording of our FridayTalks@Tübingen series is online! The Value of Ambiguous Commitment in Multi-Follower Games by Rabanus Derr Watch here: youtu.be/scQxHRVC0Cw

youtu.be

The Value of Ambiguous Commitment in Multi-Follower Games - [Rabanus Derr]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 28/11/2025

A new recording of our FridayTalks@Tübingen series is online! Physics of Learning by Siyuan Guo Watch here: youtu.be/T6CMXNndQn0

youtu.be

Physics of Learning - [Siyuan Guo]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 20/11/2025

A new recording of our FridayTalks@Tübingen series is online! PENEX: AdaBoost-Inspired Neural Network Regularization by @kkladny.bsky.social Watch here: youtu.be/C2HmBlrPi6c

youtu.be

PENEX: AdaBoost-Inspired Neural Network Regularization - [Klaus-Rudolf Kladny]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 22/10/2025

A new recording of our FridayTalks@Tübingen series is online! Strategic Hypothesis Testing by @yatongchen.bsky.social Watch here: youtu.be/VcKpRuUi4cQ

youtu.be

Strategic Hypothesis Testing - [Yatong Chen]

YouTube video by Friday Talks Tübingen

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Reposted by Johannes Zenn

ELLIS Institute Tübingen @ellisinsttue.bsky.social · 17/10/2025

🚀 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...

institute-tue.ellis.eu

Principal Investigator Positions (m/f/d) as Hector Endowed Fellows of the ELLIS Institute Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 26/09/2025

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

m.youtube.com

The Curse of Depth in Large Language Models - [Shiwei Liu]

YouTube video by Friday Talks Tübingen

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Reposted by Johannes Zenn

Richard Gao @rdgao.bsky.social · 23/09/2025

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 🤗

media.tenor.com

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

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Johannes Zenn @johanneszenn.bsky.social · 11/09/2025

A new recording of our FridayTalks@Tübingen series is online! AI Safety and Alignment by @maksym-andr.bsky.social Watch here: youtu.be/7WRW8MDQ8bk

youtu.be

AI Safety and Alignment - [Maksym Andriushchenko]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 01/09/2025

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

youtu.be

Why LLM Benchmarks are Broken and How to Fix It? - [Guanhua Zhang]

YouTube video by Friday Talks Tübingen

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Reposted by Johannes Zenn

Agustinus Kristiadi @agustinus.kristia.de · 01/09/2025

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!

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Johannes Zenn @johanneszenn.bsky.social · 29/08/2025

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

youtu.be

How much can we forget about Data Contamination? - [Sebastian Bordt]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 19/08/2025

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...

youtube.com

Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 11/08/2025

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...

youtube.com

Large Language Models Are Zero-Shot Problem Solvers—Just Like Modern Computers - [Tim Xiao]

YouTube video by Friday Talks Tübingen

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Johannes Zenn @johanneszenn.bsky.social · 05/08/2025

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...

youtube.com

Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models

YouTube video by Friday Talks Tübingen

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Reposted by Johannes Zenn

Agustinus Kristiadi @agustinus.kristia.de · 04/07/2025

📣 [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/

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Reposted by Johannes Zenn

Tübingen AI Center @tuebingen-ai.bsky.social · 22/05/2025

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

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Reposted by Johannes Zenn

ML for Science @ml4science.bsky.social · 22/05/2025

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

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

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Reposted by Johannes Zenn

Universität Tübingen @unituebingen.bsky.social · 22/05/2025

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

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

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Johannes Zenn @johanneszenn.bsky.social · 20/02/2025

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.

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Johannes Zenn @johanneszenn.bsky.social · 31/01/2025

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!

pubs.rsc.org

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...

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Reposted by Johannes Zenn

ML for Science @ml4science.bsky.social · 20/12/2024

Can we build neural networks whose structure and computational abilities match a real brain? We are not quite there yet, but recent work by @lappalainenjk.bsky.social et al. shows a strategy for getting closer to this goal. Read more on our blog: www.machinelearningforscience.de/en/improving...

machinelearningforscience.de

How a tiny animal helps us improve brain simulations with AI

Can we build neural networks whose structure and computational abilities match a real brain? We are not quite there yet, but our new paper shows a strategy for getting closer to this goal.

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Matthijs Pals @matthijspals.bsky.social · 11/12/2024

How to find all fixed points in piece-wise linear recurrent neural networks (RNNs)? A short thread 🧵  In RNNs with N units with ReLU(x-b) activations the phase space is partioned in 2^N regions by hyperplanes at x=b 1/7

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Machine Learning in Science @mackelab.bsky.social · 09/12/2024

@jkapoor.bsky.social and @auschulz.bsky.social introduce LDNS, a diffusion-based latent variable model to generate diverse neural spiking data flexibly conditioned on external variables Poster #4010 (East; Wed 11 Dec 11PT) ➡️ openreview.net/forum?id=ZX6... 3/4

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Guy Moss @gmoss13.bsky.social · 10/12/2024

@vetterj.bsky.social and I are excited to present our work at #NeurIPS2024! We present Sourcerer: a maximum-entropy, sample-based solution to source distribution estimation. Paper: openreview.net/forum?id=0cg... Code: github.com/mackelab/sou... (1/8)

openreview.net

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

Scientific modeling applications often require estimating a distribution of parameters consistent with a dataset of observations - an inference task also known as source distribution estimation....

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Jakub M. Tomczak @jmtomczak.bsky.social · 04/12/2024

I am super hyped and happy with our recent paper on a ✨VampPrior 2.0✨: Hierarchical VAE with a diffusion-based VampPrior! 🦇 We got SOTA VAE results on CIFAR-10! Kudos to Anna Kuzina because this TMLR paper is the last chapter in her PhD thesis 🤩 📃 tinyurl.com/22rvzc4f 💻 github.com/AKuzina/dvp_...

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