Francesco Giannini

Publications
(2025). Categorical Explaining Functors: Ensuring Coherence in Logical Explanations. Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning, KR 2025, Melbourne, Australia, November 11-17, 2025.
(2025). Counterfactual Concept Bottleneck Models. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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(2025). Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025.
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(2025). Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. CoRR.
(2025). If Concept Bottlenecks are the Question, are Foundation Models the Answer?. CoRR.
(2025). Interpretable Link Prediction via Neural-Symbolic Reasoning. Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part II.
(2025). Logic Explanation of AI Classifiers by Categorical Explaining Functors. CoRR.
(2025). Neural Interpretable Reasoning. CoRR.
(2024). AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI-2024), Valletta, Malta, July 17-19, 2024.
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(2024). Categorical Foundation of Explainable AI: A Unifying Theory. Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III.
(2024). Interpretable Concept-Based Memory Reasoning. Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
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(2024). Interpretable Concept-Based Memory Reasoning. CoRR.
(2024). Relational Concept Bottleneck Models. Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
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(2024). Workshop on Human-Interpretable AI. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024.
(2023). Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. Topological, Algebraic and Geometric Learning Workshops 2023, 28 July 2023, Honolulu, HI, USA.
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(2023). Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR.
(2023). Interpretable Graph Networks Formulate Universal Algebra Conjectures. Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.
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(2023). Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR.
(2023). Interpretable Neural-Symbolic Concept Reasoning. International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.
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(2023). Interpretable Neural-Symbolic Concept Reasoning. Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023.
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(2023). Interpretable Neural-Symbolic Concept Reasoning. CoRR.
(2023). Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence.