We just released a "Hitchhiker's Guide" for getting started with deep neural nets for 3D structural biology & chemistry -- we hope it will be useful for newcomers! 🤗 Learn about the core architectures powering protein design, material discovery, molecular simulations, and more!

I have a question for you all to understand the most popular methods in Explainable AI. If you need to use an [explainability method to explain your Deep Learning model / interpretable DL model], which one would you use? Input type: Tabular, Text, Image Thanks a lot!

📍 Join us at our poster session (Friday, Dec 13, 4:30 PM) if you want to chat about the paper #NeurIPS2024

🚀 Exciting news! Check out our new series on concept-based interpretable Deep Learning 🧠✨ …and explore our new PyTorch library for concept-based interpretability: PyC 🐍🔥 🎉 First chapter is out! Don’t miss it! 📖👨‍💻 #AI #DeepLearning #Interpretability #PyTorch #OpenSource