Abstract: This disclosure relates to improved techniques for determining reference points for computerized simulations of physical systems and/or physical models that may be used in machine learning development architectures. This disclosure also relates to systems, methods, apparatuses, and computer program products that are configured to determine reference points for one or more parameters of a model of a physical system used in a computerized simulation of the model. The reference points may be representative of the system outputs across the parameter space, and can be determined in an efficient and computationally-feasible manner. The outputs of the computerized simulations of physical systems may then be further used to create, build, or train one or more learning models pertaining to physical systems.