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cs.LG2026
DISCERN: Distributional Synthetic Replay for Retain-Free Incremental Machine Unlearning
Nicolás Segura-Kunsagi, Juan Luis Suárez-Díaz, Iván Sevillano-García +1
Machine unlearning aims to remove the influence of specific training data from a trained model without retraining from scratch. In real deployments, however, deletion requests arri…
cs.LG2025
STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability
Iván Sevillano-García, Julián Luengo, Francisco Herrera
Out-of-Distribution (OOD) detection is a critical task in machine learning, particularly in safety-sensitive applications where model failures can have serious consequences. Howeve…