Lucie Charlotte Magister

Publications
(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). Concept Distillation in Graph Neural Networks. Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III.
(2023). Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR.
(2023). Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR.
(2023). GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR.
(2023). Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023.
(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). SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR.