Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions.
Samantha ChenYusu WangPublished in: CoRR (2023)
Keyphrases
- network architecture
- neural network
- neural architectures
- neural architecture
- pointwise
- associative memory
- management system
- continuous functions
- real time
- distance function
- software architecture
- distance measure
- neural models
- distance metric
- error bounds
- affine transformation
- relative error
- approximation methods
- absolute error