Research Updates & Announcements
Stay updated with the latest research findings and announcements.
20 Jan 2026 · Singapore
CIP-Net keeps prototype-based continual learning readable while the model adapts to new tasks. The article page adds more context on how the architecture exposes evidence, how XAI helps monitor forgetting, and why the prototype view is useful for sequential learning.
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1 Dec 2025 · San Diego, USA
LogiX-GIN turns graph reasoning into a layer that can be translated into logic rules. The article page expands on the design, the interpretation pipeline, and the practical trade-offs of making the explanation part of the model itself.
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24 Oct 2025 · Wiley Data Mining & Knowledge Discovery
This review brings together explainable AI and continual learning by mapping the methods that make sequential adaptation easier to inspect. The article page adds more detail on the taxonomy, the library release, and the problems it is designed to solve.
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18 Sep 2025 · Porto, Portugal
LogiX combines graph neural networks with a transparent logic layer so the explanation is built into the model rather than attached afterward. The article page gives more context on fidelity, sparsity, and why the method stays stable across datasets.
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24 Oct 2024 · Santiago de Compostela, Spain
TELL is a logic-oriented neural layer with non-negative weights and thresholding that produces global explanations while keeping the model trainable. The article page adds context on how it extends to real-valued inputs and concept-bottleneck style systems.
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