3 papers indexed
Michael Romei De Socio, Gian Luca Pozzato, Alessio Merlo
High-complexity operational environments require methods that detect and anticipate temporally distributed patterns rather than classify isolated events. This paper introduces TRACTA (Temporal Reasoning and Capability-Trajectory Analysis), a controlled synthetic benchmark for tem…
Michael Romei de Socio, Gian Luca Pozzato, Alessio Merlo
Generative models can support decision-making under uncertainty by producing ensembles of plausible future system trajectories, but statistical plausibility does not ensure structural feasibility. This study investigates whether post-sampling symbolic constraints can improve the…
Billel Habbati, Alessio Merlo, Luca Verderame, Meriem Guerar
Machine unlearning aims to remove the influence of specific training data while preserving model utility. Many state-of-the-art approaches pursue this goal by restricting the forgetting update to a subset of parameters selected through gradient-based saliency. Although such metho…