Lucie Charlotte Magister

22 papers A* 3C 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust. CoRR Mohsen Abbaspour Onari, Lucie Charlotte Magister, Yaoxin Wu, Amalia Lupi, Dario Creazzo, Mattia Tordin, Luigi Di Donatantonio, Emilio Quaia, Chao Zhang, Isel Grau, Marco S. Nobile, Yingqian Zhang, Pietro Liò
2024	J	`jnl`	Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts. CoRR Shiye Su, Iulia Duta, Lucie Charlotte Magister, Pietro Liò
2024	J	`jnl`	On the Way to LLM Personalization: Learning to Remember User Conversations. CoRR Lucie Charlotte Magister, Katherine Metcalf, Yizhe Zhang, Maartje ter Hoeve
2023	—	`conf`	Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. TAG-ML Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini
2023	—	`conf`	Concept Distillation in Graph Neural Networks. xAI (3) Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò
2023	J	`jnl`	Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic
2023	J	`jnl`	Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò
2023	J	`jnl`	Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski
2023	J	`jnl`	GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò
2023	A*	`conf`	Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò
2023	A*	`conf`	Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero
2023	J	`jnl`	Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero
2023	A*	`conf`	Interpretable Neural-Symbolic Concept Reasoning. ICML Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	C	`conf`	Interpretable Neural-Symbolic Concept Reasoning. NeSy Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	J	`jnl`	Interpretable Neural-Symbolic Concept Reasoning. CoRR Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	J	`jnl`	SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski
2023	—	`conf`	Teaching Small Language Models to Reason. ACL (2) Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn
2022	J	`jnl`	Encoding Concepts in Graph Neural Networks. CoRR Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik
2022	J	`jnl`	Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió
2022	J	`jnl`	Teaching Small Language Models to Reason. CoRR Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn
2021	J	`jnl`	GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks. CoRR Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò
2021	—	`conf`	Generative Image Inpainting for Retinal Images using Generative Adversarial Networks. EMBC Lucie Charlotte Magister, Ognjen Arandjelovic