Günter Klambauer
@gklambauer.bsky.social
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
G-RRM: Guiding Symbolic Solvers with Recurrent Reasoning Models Symbolic solver have to branch to check different choices -- recurrent reasoning models ( not LLMs!) can help them to speed up solving. BTW: Frontier AIs fail here! P: arxiv.org/abs/2607.02491
LeWorld model becomes ADAPTIVE and meets MODEL-PREDICTIVE CONTROL AdaJEPA by Yann LeCun and colleagues performs actions, then checks the predicted latent state versus the observed and adapts at TEST TIME. Similar to meta-learning ... Paper: arxiv.org/abs/2606.32026
Your AI model fails on new data? It will likely be due to the domain gap! Here is what you can do for biomedical AI models: P: arxiv.org/abs/2604.20824
## Can LLMs Score Medical Diagnoses and Clinical Reasoning as well as Expert Panels? ## It appears so... "LLM Jury" has high correlation with the original score of a panel of human experts. Another human panel ("Re-score panel") does not correlate as much. P: arxiv.org/abs/2604.14892
Symbol-equivariant Recurrent Reasoning Models (SE-RRM) SE-RRM advances HRM and TRM -- guaranteed identical solutions for problems with permuted colors (ARC AGI) or digits (Sudoku). Coolest part: extrapolation to larger problem sizes!!! P: arxiv.org/abs/2603.02193 C: github.com/ml-jku/SE-RRM
Mit #OpenClaw organisieren Nutzende ihr Leben. Der KI-Bot braucht dafür allerdings umfassenden Zugriff auf persönliche Daten. Und was hat es mit #Moltbook auf sich, wo sich diese Bots angeblich miteinander unterhalten? @gklambauer.bsky.social, Professor für KI an der JKU Linz, ordnet den Hype ein.
Hype um KI-Agent | DO | 05 02 2026 | 17:55
Was steckt hinter OpenClaw und Moltbook?
oe1.orf.at
### NEW ENTRY IN THE AI IN DRUG DISCOVERY LEADERBOARD ### CheMeleon takes the lead as the **best pre-trained model** and gets the Bronze medal (rank 3) overall. It's an MPNN pre-trained to predict chemical descriptors. P: arxiv.org/abs/2506.15792 C: github.com/JacksonBurns...
# AI in Drug discovery just BROKE THROUGH a wall # A newer AI model, ConGLUDe, as fast but much more accurate than DrugCLIP. Instead on just 40K structure-based data, ConGLUDe is trained on 100M datapoints from ligand-based data P: arxiv.org/abs/2601.09693
A NEW ENTRY TO THE TOX21 LEADERBOARD: GROVER from TENCENT AI LAB obtains rank 5 on the Tox21 leaderboard. Best pre-trained model and clearly outperforms CHEMPROP. Original implementation: github.com/tencent-aila... Tox21 leaderboard on Hugging Face: huggingface.co/spaces/ml-jk...
xLSTM for Real-Time DNS Tunnel Detection: arxiv.org/abs/2512.09565 DNS-HyXNet = xLSTM for DNS tunnels. DNS-HyXNet has 99.99% accuracy, with F1-scores exceeding 99.96%, and per-sample detection latency of just 0.041 ms, confirming its scalability and real-time readiness. wow!
Sepp Hochreiter, Head of LIT AI Lab, comments on the EurIPS conference in this FAZ guest article: He highlights Europe’s growing visibility in AI research and the role of ELLIS in strengthening the community. 🌍 www.faz.net/pro/digitalw...
EurIPS wird zur Bühne für europäische KI-Talente
In Kopenhagen fand erstmals die EurIPS-Konferenz statt. Sie ist keine Gegenveranstaltung zur berühmten amerikanischen NeurIPS, sondern eine Bühne für erstklassige europäische KI-Forschung. Jetzt sind ...
faz.net
The Great Comeback of Self-Normalizing Networks in 2025: It’s been a wild year in AI and for SNNs + SELU!! See my overview and some trends here: bioinf-jku.github.io/SNNs/
Great news for AI research at JKU! Upper Austria invests €22.5M to strengthen AI & quantum science, supporting the ELLIS Unit Linz and the LIT AI Lab. This commitment boosts new projects, talent, collaborations & innovation made in Austria 🇦🇹 www.nachrichten.at/politik/land...
Land fördert die Kepler-Uni in den kommenden drei Jahren mit 22,5 Millionen Euro
LINZ. Dritte Fördervereinbarung sieht Schwerpunkte bei Künstlicher Intelligenz, Quantenwissenschaft und Internationalisierung vor.
nachrichten.at
Thanks for more than 1000 visits to the leaderboard in the last 2 days! YOU THINK YOU HAVE A BETTER MODEL?? GREAT! Training models on the Tox21 Challenge dataset can be done on a laptop-GPU. Submit your model to the leaderboard! Click SUBMIT here: huggingface.co/spaces/ml-jk...
Tox21 Leaderboard - a Hugging Face Space by ml-jku
This application allows you to manage and view a leaderboard. You can submit scores or data to update the leaderboard, which refreshes daily at 2 AM.
huggingface.co
Günter Klambauer@gklambauer.bsky.social · 9mo agoMeasuring AI Progress in Drug Discovery - A NEW LEADERBOARD IN TOWN 2015-2025: turns out that there's hardly any improvement. AI bubble? GPT is at 70% for this task, whereas the best methods get close to 85%. Leaderboard: huggingface.co/spaces/ml-jk... P: arxiv.org/abs/2511.14744
AI is hitting a wall in drug discovery! Here is the wall you were all looking for... huggingface.co/spaces/ml-jk...
Measuring AI Progress in Drug Discovery - A NEW LEADERBOARD IN TOWN 2015-2025: turns out that there's hardly any improvement. AI bubble? GPT is at 70% for this task, whereas the best methods get close to 85%. Leaderboard: huggingface.co/spaces/ml-jk... P: arxiv.org/abs/2511.14744
Hab mir einen Mahrer Tracker gebaut. Spannend zu sehen, wie schnell Print-Medien auf ihren Online-Portalen auf Dinge wie ein ZIB 2 Interview reagieren und wie sich die Inhalte dabei unterscheiden.
ELLIS ML4Molecules Workshop 2025: Registration for virtual participation now open!!! Only 500 tickets available which usually are gone fast!! Register now: www.eventbrite.com/e/ellis-mach...
ELLIS Machine Learning for Molecules Workshop 2025 - Virtual participation
Workshop on generative Models, LLMs, and the Future of Molecular AI. For details, see: https://moleculediscovery.github.io/workshop2025/
eventbrite.com
Speaker 4 at ELLIS ML4Molecules 2025: Nadine Schneider Early works on ML methods for chemical reactions. Introduced the FS-Mol datasets for few-shot learning for molecules. Director of the ELLIS ML for Molecules Discovery program. Join the workshop: moleculediscovery.github.io/workshop2025/
Invited speaker 3 at #ML4Molecules2025: Daniel Probst ( @skepteis.bsky.social ). He is known for his works on exploring chemical spaces, fingerprints, language models,... and some unconventional ideas like learning on gzip compressed data. Join: moleculediscovery.github.io/workshop2025/
@marwinsegler.bsky.social will talk about "Deep Learning for Molecules: The First Decade" at #ML4Molecules2025 In pioneering work, he introduced a "small LLM" for generating SMILES strings back in 2016/17. Chemical synthesis prediction with MCTS; ... Join: moleculediscovery.github.io/workshop2025/
(I/III) We're excited to announce a new tenure track opening! The position is called 'quantum informatics' and is affiliated with our QUICK group within the CS+AI division at @jku.at 🇦🇹. Application deadline is November 30th, 2025: www.jku.at/en/the-jku/w...
Celebrating 4,000 citations! Thanks to everyone who successfully used self-normalizing networks!!!
PAPER/ABSTRACT DEADLINE ALREADY END OF THIS WEEK! ELLIS Machine Learning for Molecules workshop: moleculediscovery.github.io/workshop2025/ DON'T MISS THE DEADLINE: short papers or extended abstracts welcome!
ELLIS ML4Molecules workshop 2025 ** Call for papers** is out: moleculediscovery.github.io/workshop2025/
