permutation invariance
A property of functions or models where the output remains unchanged regardless of the order of the input elements, important in scenarios like set processing and multi-object representation.
- BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
- EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
- Graph-based Symbolic Regression with Invariance and Constraint Encoding
- Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
- Set-LLM: A Permutation-Invariant LLM