Come and evaluate your model on the Tox21 leaderboard on Hugging Face!
As a nice side benefit, your model becomes visible and easily accessible to the community β all through our FastAPI template.
19.11.2025 07:03 β π 0 π 0 π¬ 0 π 0
MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug Discovery
Todayβs 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,...
Need to predict bioactivity π§ͺ but only have limited data β?
Try our interactive app for prompting MHNfs β a state-of-the-art model for few-shot moleculeβproperty prediction. No coding or training needed. π
π Paper:
pubs.acs.org/doi/10.1021/...
π₯οΈ App:
huggingface.co/spaces/ml-jk...
13.05.2025 08:27 β π 7 π 5 π¬ 0 π 1
ML for molecules and materials in the era of LLMs [ML4Molecules]
ELLIS workshop, HYBRID, December 6, 2024
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/
03.12.2024 12:35 β π 19 π 14 π¬ 0 π 0
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
Physics and Simulation - Ph.D. Student @ ELLIS Unit / University Linz Institute for Machine Learning
Ph.D. Student @ ELLIS Unit / University Linz Institute for Machine Learning
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, π πΆ
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Assistant Professor at Duke in Biomedical Engineering (@dukeubme.bsky.social) and Biostatistics & Bioinformatics. Research focus on digital biomarker development. All views are my own.
Biomedical Informatics PhD β’ CITRIS Health @UC Berkeley β’ FAMIA β’ Focusing on Informatics and AI in medicine β’ Linfield U. Grad β’ Missoula MT
https://smcgrath.phd
aneeshsathe.com
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physician-scientist, interested in AI safety/interpretability in biology/medicine. jjanizek.github.io
Assistant Professor at Stanford. Trustworthy, deployable ML/NLP for healthcare.