Diogo Soares

Scalable and Interpretable Representation Alignment with Ordinal Similarity

Evaluating representation similarity is fundamental to representation learning. However, existing metrics suffer from significant limitations: they are difficult to interpret due to shifting baselines, lack robustness to outliers, and are frequently computationally intractable for large datasets, fo…