3 papers
cs.LG2026
Beyond : Generalizing Abductive Latent Explanations to Diverse Prototype-Based Architectures
Jules Soria, Alban Grastien, Romain Xu-Darme +3
Prototype-based neural networks are hailed as interpretable-by-design architectures. Recently, Abductive Latent Explanations (ALE) were introduced to provide formal, mathematically…
cs.AI2025
Formal Abductive Latent Explanations for Prototype-Based Networks
Jules Soria, Zakaria Chihani, Julien Girard-Satabin +3
Case-based reasoning networks are machine-learning models that make predictions based on similarity between the input and prototypical parts of training samples, called prototypes.…
cs.AI2023
YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy
Fabian Suchanek, Mehwish Alam, Thomas Bonald +3
Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most notably, in information retrieval. Wikidata is one of the largest public general-purpose KBs. Ye…