On the Conditioning Consistency Gap in Conditional Neural Processes
arXiv:2604.19312v1 Announce Type: new
Abstract: Neural processes are meta-learning models that map context sets to predictive distributions. While inspired by stochastic processes, NPs do not generally satisfy the Kolmogorov consistency conditions req…