Xiaolong Han

Learning Input Encodings for Kernel-Optimal Implicit Neural Representations

Implicit Neural Representations (INRs) rely heavily on architectural choices for good generalization. Developing theoretically grounded approaches for architecture design remains an active area of research. Via theoretical analysis of the infinite-width limit, we establish a methodology that charact…