The initial target for developing the Neural Operators is: Physical Simulation Surrogate
Simulation for approximating the Physical processSurrogates for approximating the Simulation
Refer to: https://www.youtube.com/watch?v=lKoJJxjUfdw

Neural Operators introduces a relatively “Flexible Soft Bias” than conventional PDE models.

Partially agree, one direct question is, which kind of params I should add to get this phenomenon? Another type of “inductive bias” on this?
| Predictable | Unpredictable | |
|---|---|---|
| Finite / observable | Experience → “Function” | Randomness within the function mapping |
| Infinite | (Neural) Operator, Pi, … | … |
The challenges in Neural Operator is the input x becomes a function…