Günter Klambauer
@gklambauer.bsky.social
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
Reposted by Günter Klambauer
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
February 6, 2026 at 10:52 AM
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.
### 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...
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...
January 27, 2026 at 12:40 PM
### 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...
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 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
January 15, 2026 at 1:13 PM
# 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 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...
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...
January 7, 2026 at 12:16 PM
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...
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...
Reposted by Günter Klambauer
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!
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!
December 11, 2025 at 11:18 AM
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!
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!
Reposted by Günter Klambauer
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...
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 ...
www.faz.net
December 11, 2025 at 9:04 AM
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...
He highlights Europe’s growing visibility in AI research and the role of ELLIS in strengthening the community. 🌍
www.faz.net/pro/digitalw...
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/
It’s been a wild year in AI and for SNNs + SELU!!
See my overview and some trends here:
bioinf-jku.github.io/SNNs/
December 9, 2025 at 1:56 PM
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/
It’s been a wild year in AI and for SNNs + SELU!!
See my overview and some trends here:
bioinf-jku.github.io/SNNs/
Reposted by Günter Klambauer
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...
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.
www.nachrichten.at
December 3, 2025 at 12:50 PM
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...
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...
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...
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...
November 21, 2025 at 8:53 AM
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...
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...
AI is hitting a wall in drug discovery!
Here is the wall you were all looking for...
huggingface.co/spaces/ml-jk...
Here is the wall you were all looking for...
huggingface.co/spaces/ml-jk...
November 19, 2025 at 12:38 PM
AI is hitting a wall in drug discovery!
Here is the wall you were all looking for...
huggingface.co/spaces/ml-jk...
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
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
November 19, 2025 at 6:52 AM
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
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
List of accepted contributions now online: moleculediscovery.github.io/workshop2025/
November 17, 2025 at 3:50 PM
List of accepted contributions now online: moleculediscovery.github.io/workshop2025/
Roughly 50% of the tickets already gone...
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...
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/
www.eventbrite.com
November 14, 2025 at 12:33 PM
Roughly 50% of the tickets already gone...
Reposted by Günter Klambauer
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.
November 13, 2025 at 9:54 AM
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...
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/
www.eventbrite.com
November 13, 2025 at 6:49 AM
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...
Only 500 tickets available which usually are gone fast!!
Register now: www.eventbrite.com/e/ellis-mach...
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/
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/
November 13, 2025 at 6:46 AM
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/
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/
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/
November 12, 2025 at 7:46 AM
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/
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/
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/
November 10, 2025 at 6:32 AM
@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/
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/
Reposted by Günter Klambauer
(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...
October 21, 2025 at 1:47 PM
(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!!!
Thanks to everyone who successfully used self-normalizing networks!!!
October 21, 2025 at 10:50 AM
Celebrating 4,000 citations!
Thanks to everyone who successfully used self-normalizing networks!!!
Thanks to everyone who successfully used self-normalizing networks!!!
Deadline extended to October 15th!
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 Machine Learning for Molecules workshop: moleculediscovery.github.io/workshop2025/
DON'T MISS THE DEADLINE: short papers or extended abstracts welcome!
October 10, 2025 at 5:42 AM
Deadline extended to October 15th!
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 Machine Learning for Molecules workshop: moleculediscovery.github.io/workshop2025/
DON'T MISS THE DEADLINE: short papers or extended abstracts welcome!
October 7, 2025 at 8:48 AM
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 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/
** Call for papers** is out: moleculediscovery.github.io/workshop2025/
September 29, 2025 at 3:54 PM
ELLIS ML4Molecules workshop 2025
** Call for papers** is out: moleculediscovery.github.io/workshop2025/
** Call for papers** is out: moleculediscovery.github.io/workshop2025/
Is Bluesky the actual dead Internet??
September 24, 2025 at 4:23 AM
Is Bluesky the actual dead Internet??
It's happening again!!!
ML4Molecules workshop 2025.
within the #ELLIS Unconference, preceding #EurIPS.
More infos: moleculediscovery.github.io/workshop2025/
ML4Molecules workshop 2025.
within the #ELLIS Unconference, preceding #EurIPS.
More infos: moleculediscovery.github.io/workshop2025/
September 23, 2025 at 6:12 AM
It's happening again!!!
ML4Molecules workshop 2025.
within the #ELLIS Unconference, preceding #EurIPS.
More infos: moleculediscovery.github.io/workshop2025/
ML4Molecules workshop 2025.
within the #ELLIS Unconference, preceding #EurIPS.
More infos: moleculediscovery.github.io/workshop2025/