4 citations · 12 across the 11 of their papers we have counts for
3 papers · 1 filter
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis
Shiying Li, Abu Hasnat Mohammad Rubaiyat, Gustavo K. Rohde
Transport-based metrics and related embeddings (transforms) have recently been used to model signal classes where nonlinear structures or variations are present. In this paper, we…
Learning Energy-Based Models With Adversarial Training
Xuwang Yin, Shiying Li, Gustavo K. Rohde
We study a new approach to learning energy-based models (EBMs) based on adversarial training (AT). We show that (binary) AT learns a special kind of energy function that models the…
Partitioning signal classes using transport transforms for data analysis and machine learning
Akram Aldroubi, Shiying Li, Gustavo K. Rohde
A relatively new set of transport-based transforms (CDT, R-CDT, LOT) have shown their strength and great potential in various image and data processing tasks such as parametric sig…