CFO-Burgers-Flow
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Papers using or citing this model 1
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CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
Neural operator surrogates for time-dependent partial differential equations (PDEs) conventionally employ autoregressive prediction schemes, which accumulate error over long rollouts and require uniform temporal discretization. We...