Patrick
@podestplatz.bsky.social
PhD student @ JKU, running enthusiast and hiking aficionado.
Reposted by Patrick
Attention!! Our TiRex time series model, built on xLSTM, is topping all major international leaderboards. A European-developed model is leading the field—significantly ahead of U.S. competitors like Amazon, Datadog, Salesforce, and Google, as well as Chinese models from 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 2, 2025 at 12:12 PM
Attention!! Our TiRex time series model, built on xLSTM, is topping all major international leaderboards. A European-developed model is leading the field—significantly ahead of U.S. competitors like Amazon, Datadog, Salesforce, and Google, as well as Chinese models from Alibaba.
Reposted by Patrick
Need to predict bioactivity 🧪 but only have limited data ❌?
Try our interactive app for prompting MHNfs — a state-of-the-art model for few-shot molecule–property prediction. No coding or training needed. 🚀
📄 Paper:
pubs.acs.org/doi/10.1021/...
🖥️ App:
huggingface.co/spaces/ml-jk...
Try our interactive app for prompting MHNfs — a state-of-the-art model for few-shot molecule–property prediction. No coding or training needed. 🚀
📄 Paper:
pubs.acs.org/doi/10.1021/...
🖥️ App:
huggingface.co/spaces/ml-jk...
MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug Discovery
Today’s drug discovery increasingly relies on computational and machine learning approaches to identify novel candidates, yet data scarcity remains a significant challenge. To address this limitation,...
pubs.acs.org
May 13, 2025 at 8:27 AM
Need to predict bioactivity 🧪 but only have limited data ❌?
Try our interactive app for prompting MHNfs — a state-of-the-art model for few-shot molecule–property prediction. No coding or training needed. 🚀
📄 Paper:
pubs.acs.org/doi/10.1021/...
🖥️ App:
huggingface.co/spaces/ml-jk...
Try our interactive app for prompting MHNfs — a state-of-the-art model for few-shot molecule–property prediction. No coding or training needed. 🚀
📄 Paper:
pubs.acs.org/doi/10.1021/...
🖥️ App:
huggingface.co/spaces/ml-jk...