Sepp Hochreiter @HochreiterSepp
Pioneer of Deep Learning and known for vanishing gradient and the LSTM. I mostly tweet about random ArXiv papers which sparked my interest. bit.ly/3cx1n8r Joined November 2021-
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POWERFUL FEW-SHOT DRUG DISCOVERY MODELS AT-A-CLICK Ever faced a problem that you only know a single or two ligands or active molecules? This information alone is sufficient for few-shot predictions... been called "black magic" Today at #ACSSpring2024 huggingface.co/spaces/ml-jku/…
VN-EGNN: E(3)-Equivariant GNNs with Virtual Nodes Enhance Protein Binding Site Identification New method to find binding pockets of proteins. Virtual nodes allow to employ distance losses directly. P: arxiv.org/abs/2404.07194 C: github.com/ml-jku/vnegnn 🤗:huggingface.co/spaces/ml-jku/…
@jo_brandstetter presented today his recent work on geometry-informed architectures
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks A simple change in the aggregation function helps GNNs a) to improve message passing signal propagation and b) at the same time keep maximum 1-WL expressive power!! Paper: arxiv.org/abs/2403.04747
Austrian based company Pierer invests Millions in #XLSTM by @HochreiterSepp More than 1000 GPUs are currently computing the development from Upper Austria. "We have to scale. We first test on small data sets, then on medium-sized data sets… more aipod.de
Exciting work led by @DinuMariusC introducing the SymbolicAI framework and benchmark to create and evaluate the quality of neuro-symbolic computational graphs by measuring the similarity of embedded language-based instructions for multistep generative processes.
Exciting work led by @DinuMariusC introducing the SymbolicAI framework and benchmark to create and evaluate the quality of neuro-symbolic computational graphs by measuring the similarity of embedded language-based instructions for multistep generative processes. https://t.co/82y40Ibuvh
Please join. It is a perfect phasing in into NeurIPS. Anyway, high profile ELLIS workshop with top researchers and new ML techniques in drug design, material sciences, and molecular modelling.
Please join. It is a perfect phasing in into NeurIPS. Anyway, high profile ELLIS workshop with top researchers and new ML techniques in drug design, material sciences, and molecular modelling.
New method that utilizes Boltzmann distributions to solve very hard combinatorial optimization problems. Cool stuff - must read.
New method that utilizes Boltzmann distributions to solve very hard combinatorial optimization problems. Cool stuff - must read.
2 weeks away from #ELLISunitAmsterdam NeurIPS Fest’23✨🌟 🚀36 fantastic posters ivi.fnwi.uva.nl/ellis/neurips-… 🚀Prof. Dr. Juergen Gall (Uni. Bonn) as our keynote speaker 🚀 Bites & drinks 🚀10 other ELLIS units joining the scientific fest Limited spots👉🏻 forms.office.com/e/ChQZdnCp0m
Ja richtig. Wir sind sehr erfolgreich mit unseren Industriekooperationen. Aber xLSTM ist nochmal der Knaller: so viel besser als GPT.
Ja richtig. Wir sind sehr erfolgreich mit unseren Industriekooperationen. Aber xLSTM ist nochmal der Knaller: so viel besser als GPT.
Help us build the ELLIS Institute: the new call for Hector Endowed PI positions is at tue.ellis.eu/jobs/PI2024. The positions come with the possibility for co-appointment at Max Planck & Tübingen AI Center #ELLISforEurope #Tuebingen #AI @MPI_IS
A new view on predictive uncertainty that gives SOTA results and is completely convincing. Super interesting insights.
A new view on predictive uncertainty that gives SOTA results and is completely convincing. Super interesting insights.
Explore CLOOME with this interactive notebook (no programming knowledge required) by @humerchr: mybinder.org/v2/gh/ginihume…
🎉 Exciting news! Our latest work has been published in Nature Communications. 🎉 CLOOME utilizes contrastive learning to connect microscopy images and chemical structures, paving the way for major advancements in drug discovery and beyond.🌟🔬💊 📜nature.com/articles/s4146…
🎉 Exciting news! Our latest work has been published in Nature Communications. 🎉 CLOOME utilizes contrastive learning to connect microscopy images and chemical structures, paving the way for major advancements in drug discovery and beyond.🌟🔬💊 📜nature.com/articles/s4146…
Last Change. Go ahead. Nothing better than being an ELLIS PhD student.
Super paper on reliable prediction for time series at NeurIPS. Conformal Predictions adapted to time series yields excellent results.
Super paper on reliable prediction for time series at NeurIPS. Conformal Predictions adapted to time series yields excellent results.
✨Amsterdam's exceptional scientist is one of the recently appointed ELLIS Scholars Congrats, @erikjbekkers 🚀 ivi.fnwi.uva.nl/ellis/2023/11/… #ELLISforEurope #ELLISunitAmsterdam #AI #ML
Our great achievements with ELLIS are appreciated by the German government. The ELLIS Fellow and PhD programs and the network of units are an unprecedented success story of AI in Europe. We will keep going.
Our great achievements with ELLIS are appreciated by the German government. The ELLIS Fellow and PhD programs and the network of units are an unprecedented success story of AI in Europe. We will keep going.
It is great to have Johannes Brandstetter back in Linz. We are going to build a large-scale AI ecosystem. Indeed, big news will come soon - it is sooo exciting.
It is great to have Johannes Brandstetter back in Linz. We are going to build a large-scale AI ecosystem. Indeed, big news will come soon - it is sooo exciting.
(((ل()(ل() 'yoav))).. @yoavgo
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9K Followers 666 Following ML theory nerd & AI non-enthusiast. thinking a lot about online learning these days!Hrvoje Bogunović @hbogunovic
298 Followers 864 Following Researcher in Medical Image Computing and Machine Learning. Applications in Ophthalmology. Works @OptimaLab @MedUni_WienFabian Paischer @PaischerFabian
182 Followers 193 Following ELLIS PhD student supervised by Sepp Hochreiter @ JKU Linz Co-supervised by Marc Deisenroth @ UCLMark Riedl @mark_riedl
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3K Followers 407 Following Deep Learning researcher known for self-normalizing neural networks, applications of Machine Learning in Life Sciences areas; ELLIS program DirectorPOWERFUL FEW-SHOT DRUG DISCOVERY MODELS AT-A-CLICK Ever faced a problem that you only know a single or two ligands or active molecules? This information alone is sufficient for few-shot predictions... been called "black magic" Today at #ACSSpring2024 huggingface.co/spaces/ml-jku/…
VN-EGNN: E(3)-Equivariant GNNs with Virtual Nodes Enhance Protein Binding Site Identification New method to find binding pockets of proteins. Virtual nodes allow to employ distance losses directly. P: arxiv.org/abs/2404.07194 C: github.com/ml-jku/vnegnn 🤗:huggingface.co/spaces/ml-jku/…
@jo_brandstetter presented today his recent work on geometry-informed architectures
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks A simple change in the aggregation function helps GNNs a) to improve message passing signal propagation and b) at the same time keep maximum 1-WL expressive power!! Paper: arxiv.org/abs/2403.04747
Austrian based company Pierer invests Millions in #XLSTM by @HochreiterSepp More than 1000 GPUs are currently computing the development from Upper Austria. "We have to scale. We first test on small data sets, then on medium-sized data sets… more aipod.de
This was joint work with @futurisold Markus Holzleitner @wzell7 @HochreiterSepp & great thanks to all colleagues and friends for their support, and discussions: Sergei Pereverzyev @ecsquendor @GaryMarcus @PaischerFabian @mrkhof @kschweig_ @ClemensWasner Andreas Windisch 🤝 [9/n]
🚀 SymbolicAI – a framework for logic-based approaches combining generative models and solvers. Alongside, we introduce a benchmark and empirical measure to evaluate SOTA LLMs in AI-centric workflows. Read more in our paper arxiv.org/abs/2402.00854 #MachineLearning 🧠💡[1/n]
Help us build the ELLIS Institute: the new call for Hector Endowed PI positions is at tue.ellis.eu/jobs/PI2024. The positions come with the possibility for co-appointment at Max Planck & Tübingen AI Center #ELLISforEurope #Tuebingen #AI @MPI_IS
🎉 Exciting news! Our latest work has been published in Nature Communications. 🎉 CLOOME utilizes contrastive learning to connect microscopy images and chemical structures, paving the way for major advancements in drug discovery and beyond.🌟🔬💊 📜nature.com/articles/s4146…
Very excited to share that our work, CLOOME, has been now published in @NatureComms! CLOOME introduces chemical structure querying for bioimaging databases. 🧵
Joint supervision by two #ML researchers and exchanges in our pan-European #AI network: ELLIS offers #PhD students many opportunities for their professional development! Interested? Then apply to our program by November 15! ellis.eu/news/ellis-phd…
In-Context Learning for Drug Discovery: Embedding-based few-shot learning methods are equivalent to "in-context learning" of LLMs. Here this concept is used again (but introduced before in MHNfs by Schimunek et al, 2023): arxiv.org/abs/2310.08863…
@HochreiterSepp presented xLSTM at @bifoldberlin 's AI symposium, outperforming transformers like GPT on small datasets. Next: train on bigger data, but needs 300M€ & European support to keep the tech local. Would back it if I could! #generativeai
Thanks to Prof. Dr. Sepp Hochreiter from Linz Institute of Technology for your keynote speech at the AI Symposium on “Speicher-Architekturen für Deep Learning.” bifold.berlin/ai-symposium #AHM2023
@HochreiterSepp, Vorstand des JKU Instituts f. Machine Learning & Leiter des @LITAILab hat mit seiner bahnbrechenden Technologie des LSTM den Weg zur heutigen AI geebnet. Nun wurde er mit dem Deutschen KI-#Innovationspreis der @welt ausgezeichnet 🏆 go.jku.at/n23p6
We happily announce that we, LAION, won the Falling Walls Science Breakthrough of the Year 2023 Award in the category 'Science and Innovation Management' for "democratizing AI research. :) laion.ai/blog/falling-w…
Das Institute for Machine Learning der JKU verlegt dazu sein renommiertes AI Lab in die #POSTCITY. Besucher*innen bekommen Einblick in die aktuelle Arbeit an einem Chatbot von @HochreiterSepp mit dem Namen „X-LSTM“ als europäische Alternative zu ChatGPT & Co.
🎓 An der JKU AI School erhalten die Besucher*innen einen Crashkurs über die Technologie hinter ChatGPT und #Bard von JKU KI-Expert*innen, wie KI-Pionier @HochreiterSepp und @gklambauer.
Our method CLAMP (Contrastive Language Assay Molecule Pre-training, ICML2023) uses the same loss: arxiv.org/abs/2303.03363
What makes CLIP work? The contrast with negatives via softmax? The more negatives, the better -> large batch-size? We'll answer "no" to both in our ICCV oral🤓 By introducing SigLIP, a simpler CLIP that also works better and is more scalable, we can study the extremes. Hop in🧶
@giffmana @XiaohuaZhai @__kolesnikov__ @_basilM Happy to add that our method CLAMP (Contrastive Language Assay Molecule Pre-training, ICML2023) uses the same loss: arxiv.org/abs/2303.03363
ELLIS PhD program 2024 call for applications: Apply and join one the largest PhD and PostDoc program on machine learning and AI in Europe! Deadline: November 15. ellis.eu/news/ellis-phd…