#formal-concept-analysis News & Analysis

3 articles tagged with #formal-concept-analysis. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 96/10

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A Variability-Based Framework for Interpretable Naming in Formal and Relational Concept Analysis

Researchers propose a variability-based framework for automatically naming concepts generated by Formal Concept Analysis (FCA) and Relational Concept Analysis (RCA) using large language models. The framework addresses the challenge of translating formally-defined but opaque symbolic abstractions into human-readable names by controlling which information sources (intent, extent, implications, relations) are exposed during naming, making semantic choices explicit and interpretable.

AINeutralarXiv – CS AI · Mar 176/10

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Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysis

Researchers introduce 'conceptual views' as a formal framework based on Formal Concept Analysis to globally explain neural networks. Testing on 24 ImageNet models and Fruits-360 datasets shows the framework can faithfully represent models, enable architecture comparison, and extract human-comprehensible rules from neurons.

AINeutralarXiv – CS AI · Mar 37/109

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The Lattice Representation Hypothesis of Large Language Models

Researchers propose the Lattice Representation Hypothesis, a new framework showing how large language models encode symbolic reasoning through geometric structures. The theory unifies continuous neural representations with formal logic by demonstrating that LLM embeddings naturally form concept lattices that enable symbolic operations through geometric intersections and unions.