Yizhu Zhao

Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations

With advancements in deep learning, neural simulators have become increasingly important for improving the efficiency and effectiveness of simulating complex dynamical systems in various scientific and technological fields. This paper presents a novel neural simulator called Context-informed Polymor