pcg

Introduces CardioState-JEPA, a cardiac foundation model that learns a shared representation across ECG, PPG, and PCG signals using a delay-aware joint-embedding predictive architecture, improving downstream cardiac classification tasks.

This paper explores three novel approaches for procedurally generating enemy morphologies (body plans and collision information) specifically conditioned on player collision interactions, finding all outperform an evolutionary baseline adapted from robotics.