Showing 1–20 of 20 results
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Feb 2, 2026Position: Explaining Behavioral Shifts in Large Language Models Requires a Comparative ApproachNov 11, 2025DeepProofLog: Efficient Proving in Deep Stochastic Logic ProgramsJul 10, 2025Grounding Methods for Neural-Symbolic AIApr 28, 2025If Concept Bottlenecks are the Question, are Foundation Models the Answer?Mar 20, 2025Logic Explanation of AI Classifiers by Categorical Explaining FunctorsMar 20, 2025Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate ExpertsMar 3, 2025Mathematical Foundation of Interpretable Equivariant Surrogate ModelsMay 5, 2024Explainable Malware Detection with Tailored Logic Explained NetworksMay 17, 2023Interpretable Graph Networks Formulate Universal Algebra ConjecturesApr 27, 2023Interpretable Neural-Symbolic Concept ReasoningMar 23, 2023Enhancing Embedding Representations of Biomedical Data using Logic KnowledgeJun 1, 2021Relational Reasoning NetworksFeb 6, 2020Relational Neural MachinesAug 31, 2019Conditions for Unnecessary Logical Constraints in Kernel MachinesJul 26, 2019T-Norms Driven Loss Functions for Machine LearningMar 18, 2019LYRICS: a General Interface Layer to Integrate Logic Inference and Deep LearningJan 14, 2019Integrating Learning and Reasoning with Deep Logic ModelsSep 18, 2018On a Convex Logic Fragment for Learning and ReasoningJul 16, 2018Constraint-Based Visual GenerationMar 10, 2017Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow