Lucie Charlotte Magister

According to our database, Lucie Charlotte Magister authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts.

Shiye Su, Iulia Duta, Lucie Charlotte Magister, Pietro Liò

CoRR, 2024

2023

Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians.

Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò

CoRR, 2023

Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts.

Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski

CoRR, 2023

SHARCS: Shared Concept Space for Explainable Multimodal Learning.

Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski

CoRR, 2023

Deep Multiple Instance Learning with Distance-Aware Self-Attention.

Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic

CoRR, 2023

GCI: A (G)raph (C)oncept (I)nterpretation Framework.

Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò

CoRR, 2023

Concept Distillation in Graph Neural Networks.

Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò

Proceedings of the Explainable Artificial Intelligence, 2023

Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach.

Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini

Proceedings of the Topological, 2023

Interpretable Graph Networks Formulate Universal Algebra Conjectures.

Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretable Neural-Symbolic Concept Reasoning.

Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra

Proceedings of the International Conference on Machine Learning, 2023

Teaching Small Language Models to Reason.

Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis.

Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Encoding Concepts in Graph Neural Networks.

Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik

CoRR, 2022

2021

GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks.

Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò

CoRR, 2021

Generative Image Inpainting for Retinal Images using Generative Adversarial Networks.

Lucie Charlotte Magister, Ognjen Arandjelovic

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021