2 papers
cs.AI2026
AI co-mathematician: Accelerating mathematicians with agentic AI
Daniel Zheng, Ingrid von Glehn, Yori Zwols +15
We introduce the AI co-mathematician, a workbench for mathematicians to interactively leverage AI agents to pursue open-ended research. The AI co-mathematician is optimized to prov…
cs.LG2024
Complete and Efficient Covariants for 3D Point Configurations with Application to Learning Molecular Quantum Properties
Hartmut Maennel, Oliver T. Unke, Klaus-Robert Müller
When modeling physical properties of molecules with machine learning, it is desirable to incorporate -covariance. While such models based on low body order features are not…