Human-Explainable, Robust, and COllaborative LEarning.
At the HERCOLE Lab, our research mission is to advance the development of next-generation machine learning and artificial intelligence systems that are not only powerful, but also understandable, resilient, and decentralized.
We strive to make AI systems more interpretable and transparent to human users, enabling greater trust and collaboration. We design algorithms that are robust to adversarial attacks, ensuring reliability in real-world conditions.
Moreover, we design intelligent systems that can operate efficiently on edge devices, enabling local decision-making, enhancing privacy, and reducing reliance on centralized infrastructures.
Through interdisciplinary research and innovation, we aim to shape AI that is more human-centered, secure, and scalable.
We introduce a novel approach that leverages open-source Large Language Models (LLMs) to transform counterfactual explanations for GNNs into natural language descriptions.
Driven by the growth of our team and research activities, Hercole Lab is embracing a new visual identity.
We introduce a novel approach that leverages open-source Large Language Models (LLMs) to transform counterfactual explanations for GNNs into natural language descriptions.
