2025
Revisiting Orbital Minimization Method for Neural Operator Decomposition
NeurIPS 2025poster
Spectral decomposition of linear operators plays a central role in many areas of machine learning and scientific computing. Recent work has explored training neural networks to approximate eigenfunctions of such operators, enabling scalable approaches to representation learning, dynamical systems, a…