@phseidl.bsky.social
Reposted
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...
Reposted
1/11 Excited to present our latest work "Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics" at #ICLR2025 on Fri 25 Apr at 10 am!
#CombinatorialOptimization #StatisticalPhysics #DiffusionModels
#CombinatorialOptimization #StatisticalPhysics #DiffusionModels
April 24, 2025 at 8:57 AM
1/11 Excited to present our latest work "Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics" at #ICLR2025 on Fri 25 Apr at 10 am!
#CombinatorialOptimization #StatisticalPhysics #DiffusionModels
#CombinatorialOptimization #StatisticalPhysics #DiffusionModels
Reposted
The Machine Learning for Molecules workshop 2024 will take place THIS FRIDAY, December 6.
Tickets for in-person participation are "SOLD" OUT.
We still have a few free tickets for online/virtual participation!
Registration link here: moleculediscovery.github.io/workshop2024/
Tickets for in-person participation are "SOLD" OUT.
We still have a few free tickets for online/virtual participation!
Registration link here: moleculediscovery.github.io/workshop2024/
ML for molecules and materials in the era of LLMs [ML4Molecules]
ELLIS workshop, HYBRID, December 6, 2024
moleculediscovery.github.io
December 3, 2024 at 12:35 PM
The Machine Learning for Molecules workshop 2024 will take place THIS FRIDAY, December 6.
Tickets for in-person participation are "SOLD" OUT.
We still have a few free tickets for online/virtual participation!
Registration link here: moleculediscovery.github.io/workshop2024/
Tickets for in-person participation are "SOLD" OUT.
We still have a few free tickets for online/virtual participation!
Registration link here: moleculediscovery.github.io/workshop2024/
Reposted
Long-context xLSTM models of DNA, proteins, and chemicals.
@smdrnks.bsky.social @phseidl.bsky.social @gklambauer.bsky.social
arxiv.org/abs/2411.04165
@smdrnks.bsky.social @phseidl.bsky.social @gklambauer.bsky.social
arxiv.org/abs/2411.04165
November 20, 2024 at 10:11 PM
Long-context xLSTM models of DNA, proteins, and chemicals.
@smdrnks.bsky.social @phseidl.bsky.social @gklambauer.bsky.social
arxiv.org/abs/2411.04165
@smdrnks.bsky.social @phseidl.bsky.social @gklambauer.bsky.social
arxiv.org/abs/2411.04165