Research Updates & Announcements
20 Jan 2026 · Singapore
Our latest AAAI paper "CIP-Net: Continual Interpretable Prototype-based Network" is officially out! A novel prototype-based continual learning model that leverages eXplainable AI techniques.
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1 Dec 2025 · San Diego, USA
Introducing LogiX-GIN, a novel self-explainable graph neural network layer that can be directly converted into logic rules for better interpretability.
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24 Oct 2025 · Wiley Data Mining & Knowledge Discovery
A comprehensive review exploring how eXplainable AI can guide and improve continual learning systems. Includes XAI4CL library built on top of Avalanche.
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18 Sep 2025 · Porto, Portugal
Introducing LogiX, a method combining GNNs with a transparent logic layer for faithful explanations. Produces sparser and more stable explanations.
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24 Oct 2024 · Santiago de Compostela, Spain
TELL: A neural layer with non-negative weights that translates directly into logic rules. Delivers global explanations while maintaining strong performance.
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