#machine learning
May 2026
GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms
This work proposes a certified regularization for ill-posed in vivo brain-flow reconstruction, developed a spectrally convergent physics-informed architecture, and established machine-checked universal-approximation theorems for two widely used architectures.
Juan Diego Toscano, Zhao-Jie Chai, G. Karniadakis
· arXiv.org · 10 citations