Lucie Charlotte Magister

Computer Science · Physical Sciences

6h-index178citations17works0.02yr avg
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Research Topics

Explainable Artificial Intelligence (XAI)(10), Advanced Graph Neural Networks(6), Machine Learning in Materials Science(5), Topic Modeling(4), Natural Language Processing Techniques(2)

Publications17 total

Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust
arXiv (Cornell University)·2025Open Access
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
arXiv (Cornell University)·2024Open Access
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians
arXiv (Cornell University)·2023· 1 citedOpen Access
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
arXiv (Cornell University)·2023· 1 citedOpen Access
SHARCS: Shared Concept Space for Explainable Multimodal Learning
arXiv (Cornell University)·2023· 2 citedOpen Access
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 27 citedOpen Access
Interpretable Graph Networks Formulate Universal Algebra Conjectures
arXiv (Cornell University)·2023· 1 citedOpen Access
Deep Multiple Instance Learning with Distance-Aware Self-Attention
arXiv (Cornell University)·2023· 1 citedOpen Access
Interpretable Neural-Symbolic Concept Reasoning
arXiv (Cornell University)·2023· 6 citedOpen Access
GCI: A (G)raph (C)oncept (I)nterpretation Framework
arXiv (Cornell University)·2023· 2 citedOpen Access
Teaching Small Language Models to Reason
2023· 95 citedOpen Access
Concept Distillation in Graph Neural Networks
Communications in computer and information science·2023· 9 citedOpen Access
Teaching Small Language Models to Reason
arXiv (Cornell University)·2022· 7 citedOpen Access
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
arXiv (Cornell University)·2022· 1 citedOpen Access
Encoding Concepts in Graph Neural Networks
arXiv (Cornell University)·2022· 5 citedOpen Access
Generative Image Inpainting for Retinal Images using Generative Adversarial Networks
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)·2021· 6 citedOpen Access
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
arXiv (Cornell University)·2021· 14 citedOpen Access

Frequent Co-authors

Píetro Lió(14), Pietro Barbiero(10), Dmitry Kazhdan(4), Mateja Jamnik(4), Gabriele Ciravegna(3), Jonathan Mallinson(2), Jakub Adámek(2), Eric Malmi(2), Aliaksei Severyn(2), Han Xuanyuan(2), Dobrik Georgiev(2), Federico Siciliano(2), Fabrizio Silvestri(2), Francesco Giannini(2), Ognjen Arandjelović(2), Nikola Simidjievski(2), Vikash Singh(1), Mateo Espinosa Zarlenga(1), Alberto Tonda(1), Fŕed́eric Precioso(1)