Universal Sample-Based Embeddings of Higher-Order Objects.

arXiv:2610.19899v1 Announce Type: cross Abstract: Neural networks operate naturally on finite-dimensional vectors, yet many problems require reasoning about higher-order objects such as distributions, functions, and graphs. Such objects capture relationships w