Always found the "curse of dimensionality" a bit of a vague concept -- Wikipedia gives about 10 different definitions. It's actually pretty concrete in the case of function approximation though. Say your data is generated from a noiseless function:
Y= f(X), where X =
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Contributions:
1. Novel Framework for 3D Physics Prediction: We introduce PIXIE, a unified framework that predicts discrete material types and continuous physical parameters (Young’s modulus, Poisson’s