SBNO : Schrödinger Bridge Neural Operator for the Forward and Inverse Problems under Missing Information

Partial differential equation (PDE) surrogate modeling often relies on either dense observations or access to governing equations/physics constraints. In practice, observations can be sparse and partial, and the underlying physics may be partially specified or unavailable. We introduce SBNO, an equa