2026
Proximal Splitting Methods for Hybrid Differentiable Models
ICML 2026poster
Operator splitting methods are at the foundation of many numerical solvers for partial differential equations. In parallel, unrolled and hybrid learning-based architectures have been introduced to enhance classical solvers, but their design is rarely linked to the underlying problem structure. In th…