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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.LG2026

Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning

Efstratios Zaradoukas, Davide Gabrielli, Bardh Prenkaj +1

The paper investigates how different reward functions affect the speed and effectiveness of reinforcement‑learning based machine unlearning for language models, proposing graded an…

cs.LG2026

A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series

Davide Gabrielli, Paola Velardi, Stefano Faralli +1

Continuous physiological monitoring is central to emergency care, yet deploying trustworthy AI is challenging. While LLMs can translate complex physiological signals into clinical…

cs.CL2025

Inverse Language Modeling towards Robust and Grounded LLMs

Davide Gabrielli, Simone Sestito, Iacopo Masi

The current landscape of defensive mechanisms for LLMs is fragmented and underdeveloped, unlike prior work on classifiers. To further promote adversarial robustness in LLMs, we pro…

cs.LG2025

AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence

Davide Gabrielli, Bardh Prenkaj, Paola Velardi +1

We introduce AI on the Pulse, a real-world-ready anomaly detection system that continuously monitors patients using a fusion of wearable sensors, ambient intelligence, and advanced…

cs.LG2025

Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences

Davide Gabrielli, Bardh Prenkaj, Paola Velardi

Monitoring the stress level in patients with neurodegenerative diseases can help manage symptoms, improve patient's quality of life, and provide insight into disease progression. I…