Renu Singh

Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations

This paper proposes Kastor, a comprehensive methodology to adapt a deterministic physics foundation model into a highly efficient and accurate generative surrogate, and introduces a two-stage inference scheme that combines a large-stride causal auto-regressive model with a non-causal temporal super-resolution network, significantly reducing error accumulation while minimizing computational cost.