Günter Klambauer
@gklambauer.bsky.social
Deep Learning researcher | professor for Artificial Intelligence in Life Sciences | inventor of self-normalizing neural networks | ELLIS program Director
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/
Happy that IBM uses proper MLPs, i.e. self-normalizing networks, in their Flowstate model! ;)
P: arxiv.org/abs/2508.05287
P: arxiv.org/abs/2508.05287
September 17, 2025 at 9:20 AM
Happy that IBM uses proper MLPs, i.e. self-normalizing networks, in their Flowstate model! ;)
P: arxiv.org/abs/2508.05287
P: arxiv.org/abs/2508.05287
Another win for xLSTM
xLSTM shines as an Electrocardiogram (ECG) foundation model: arxiv.org/abs/2509.10151
"xECG achieves superior performance over earlier approaches, defining a new baseline for future ECG foundation models."
xLSTM is perfectly suited for time series prediction as shown by TiRex.
"xECG achieves superior performance over earlier approaches, defining a new baseline for future ECG foundation models."
xLSTM is perfectly suited for time series prediction as shown by TiRex.
September 16, 2025 at 6:48 AM
Another win for xLSTM
It just struck me that the ancient Greeks chose their twelve Olympian gods with gender parity..
September 16, 2025 at 6:48 AM
It just struck me that the ancient Greeks chose their twelve Olympian gods with gender parity..
We Austrians are fully aware that we are a democratic country now, but we still sneak in pictures of our monarchs... :)
@aithyra.bsky.social Symposium #AIforLifeScience: From Sequences to Structures — Al and the Protein Universe
September 8, 2025 at 2:05 PM
We Austrians are fully aware that we are a democratic country now, but we still sneak in pictures of our monarchs... :)
Controversial posts are downranked on Blue sky????
Oh c'mon...
Oh c'mon...
Devastating blow for GNNs/MPNNs for chemistry and small molecules:
All of them are not statistically better than simple ECFP . Only our CLAMP model does the job ;)
P: arxiv.org/abs/2508.06199
All of them are not statistically better than simple ECFP . Only our CLAMP model does the job ;)
P: arxiv.org/abs/2508.06199
August 13, 2025 at 9:15 AM
Controversial posts are downranked on Blue sky????
Oh c'mon...
Oh c'mon...
Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification
New base editors designed and optimized with ML! Almost all ML-designed ones active in the lab tests!!
P: www.biorxiv.org/content/10.1...
New base editors designed and optimized with ML! Almost all ML-designed ones active in the lab tests!!
P: www.biorxiv.org/content/10.1...
August 12, 2025 at 9:54 AM
Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification
New base editors designed and optimized with ML! Almost all ML-designed ones active in the lab tests!!
P: www.biorxiv.org/content/10.1...
New base editors designed and optimized with ML! Almost all ML-designed ones active in the lab tests!!
P: www.biorxiv.org/content/10.1...
Devastating blow for GNNs/MPNNs for chemistry and small molecules:
All of them are not statistically better than simple ECFP . Only our CLAMP model does the job ;)
P: arxiv.org/abs/2508.06199
All of them are not statistically better than simple ECFP . Only our CLAMP model does the job ;)
P: arxiv.org/abs/2508.06199
August 11, 2025 at 3:31 PM
Devastating blow for GNNs/MPNNs for chemistry and small molecules:
All of them are not statistically better than simple ECFP . Only our CLAMP model does the job ;)
P: arxiv.org/abs/2508.06199
All of them are not statistically better than simple ECFP . Only our CLAMP model does the job ;)
P: arxiv.org/abs/2508.06199
Just in: GPT-5 achieves AGI in chemical sciences!!1!!1!
Actually, NO! .... struggles with generating 2D graphs from SMILES.
Actually, NO! .... struggles with generating 2D graphs from SMILES.
August 11, 2025 at 5:37 AM
Just in: GPT-5 achieves AGI in chemical sciences!!1!!1!
Actually, NO! .... struggles with generating 2D graphs from SMILES.
Actually, NO! .... struggles with generating 2D graphs from SMILES.
Great idea for a dataset and task! Thanks for using and assessing out Prot-xLSTM
In 1965, Margaret Dayhoff published the Atlas of Protein Sequence and Structure, which collated the 65 proteins whose amino acid sequences were then known.
Inspired by that Atlas, today we are releasing the Dayhoff Atlas of protein sequence data and protein language models.
Inspired by that Atlas, today we are releasing the Dayhoff Atlas of protein sequence data and protein language models.
July 26, 2025 at 3:53 PM
Great idea for a dataset and task! Thanks for using and assessing out Prot-xLSTM
Reposted by Günter Klambauer
We are soooo proud. Our European-developed TiRex is leading the field—significantly ahead of U.S. competitors like Amazon, Datadog, Salesforce, and Google, as well as Chinese models from companies such as Alibaba.
Ever though you could get a 35 million parameter time series state-of-the art foundation model that you can run on embedded hardware? Thanks to @hochreitersepp.bsky.social and his team at NXAI, you can. Amazing work!
Paper: arxiv.org/abs/2505.23719
Code: github.com/NX-AI/tirex
Paper: arxiv.org/abs/2505.23719
Code: github.com/NX-AI/tirex
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
In-context learning, the ability of large language models to perform tasks using only examples provided in the prompt, has recently been adapted for time series forecasting. This paradigm enables zero...
arxiv.org
June 4, 2025 at 8:59 AM
We are soooo proud. Our European-developed TiRex is leading the field—significantly ahead of U.S. competitors like Amazon, Datadog, Salesforce, and Google, as well as Chinese models from companies such as Alibaba.
Reposted by Günter Klambauer
Ever though you could get a 35 million parameter time series state-of-the art foundation model that you can run on embedded hardware? Thanks to @hochreitersepp.bsky.social and his team at NXAI, you can. Amazing work!
Paper: arxiv.org/abs/2505.23719
Code: github.com/NX-AI/tirex
Paper: arxiv.org/abs/2505.23719
Code: github.com/NX-AI/tirex
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
In-context learning, the ability of large language models to perform tasks using only examples provided in the prompt, has recently been adapted for time series forecasting. This paradigm enables zero...
arxiv.org
June 2, 2025 at 9:45 AM
Ever though you could get a 35 million parameter time series state-of-the art foundation model that you can run on embedded hardware? Thanks to @hochreitersepp.bsky.social and his team at NXAI, you can. Amazing work!
Paper: arxiv.org/abs/2505.23719
Code: github.com/NX-AI/tirex
Paper: arxiv.org/abs/2505.23719
Code: github.com/NX-AI/tirex
Recommended read for the weekend: Sepp Hochreiter's book on AI!
Lots of fun anecdotes and easily accessible basics on AI!
www.beneventopublishing.com/ecowing/prod...
Lots of fun anecdotes and easily accessible basics on AI!
www.beneventopublishing.com/ecowing/prod...
May 30, 2025 at 12:28 PM
Recommended read for the weekend: Sepp Hochreiter's book on AI!
Lots of fun anecdotes and easily accessible basics on AI!
www.beneventopublishing.com/ecowing/prod...
Lots of fun anecdotes and easily accessible basics on AI!
www.beneventopublishing.com/ecowing/prod...
Reposted by Günter Klambauer
Happy to introduce 🔥LaM-SLidE🔥!
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
May 22, 2025 at 12:24 PM
Happy to introduce 🔥LaM-SLidE🔥!
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
Latent Space Modeling of Spatial Dynamical Systems via
Linked Entities
LATENT DIFFUSION and GRAPH NEURAL NETWORKS finally combined!!
Best model for molecular dynamics of small molecules!!!
Paper: arxiv.org/abs/2502.121...
Blog: ml-jku.github.io/LaM-SLidE/
Linked Entities
LATENT DIFFUSION and GRAPH NEURAL NETWORKS finally combined!!
Best model for molecular dynamics of small molecules!!!
Paper: arxiv.org/abs/2502.121...
Blog: ml-jku.github.io/LaM-SLidE/
May 22, 2025 at 12:50 PM
Latent Space Modeling of Spatial Dynamical Systems via
Linked Entities
LATENT DIFFUSION and GRAPH NEURAL NETWORKS finally combined!!
Best model for molecular dynamics of small molecules!!!
Paper: arxiv.org/abs/2502.121...
Blog: ml-jku.github.io/LaM-SLidE/
Linked Entities
LATENT DIFFUSION and GRAPH NEURAL NETWORKS finally combined!!
Best model for molecular dynamics of small molecules!!!
Paper: arxiv.org/abs/2502.121...
Blog: ml-jku.github.io/LaM-SLidE/
Join the tutorial on xLSTM!!
‼️Call for Participation: IT:U Summer School 2025 on Natural Language Processing‼️
We are excited to announce that the IT:U Summer School 2025, focused on NLP, will take place on July 25–26 in Linz, Austria, just ahead of #ACL2025.
🔗 Register here: it-u.at/en/itu-summe...
We are excited to announce that the IT:U Summer School 2025, focused on NLP, will take place on July 25–26 in Linz, Austria, just ahead of #ACL2025.
🔗 Register here: it-u.at/en/itu-summe...
May 21, 2025 at 2:43 PM
Join the tutorial on xLSTM!!
Talking at CAIML Symposium today
"A New Generation of Foundation Models Based on xLSTM"
Slides available here: cloud.ml.jku.at/s/fLtjm5GKQS...
caiml.org/news/194/
"A New Generation of Foundation Models Based on xLSTM"
Slides available here: cloud.ml.jku.at/s/fLtjm5GKQS...
caiml.org/news/194/
CAIML Symposium 2025
The 4th CAIML Symposium will bring together leading experts and enthusiasts in AI to discover the future of the field.
caiml.org
May 19, 2025 at 1:54 PM
Talking at CAIML Symposium today
"A New Generation of Foundation Models Based on xLSTM"
Slides available here: cloud.ml.jku.at/s/fLtjm5GKQS...
caiml.org/news/194/
"A New Generation of Foundation Models Based on xLSTM"
Slides available here: cloud.ml.jku.at/s/fLtjm5GKQS...
caiml.org/news/194/