Ajitesh Srivastava

HyperODE: Zero-Shot Surrogate for Simulation and Inference of Dynamical Systems

HyperODE is introduced, a surrogate capable of operating across an entire class of approximately mass-conserving compartmental models without retraining, by mapping the structure of ordinary differential equations into directed hypergraphs, which decouples the functional form of system interactions from the neural network architecture.