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2020 – today
- 2023
[c8]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI 2023: 10675-10683- [c7]Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
Teaching Small Language Models to Reason. ACL (2) 2023: 1773-1781 - [c6]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. ICML 2023: 1801-1825 - [c5]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. NeSy 2023: 422-423 - [c4]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS 2023 - [c3]Oguzhan Keskin, Alisia Maria Lupidi, Stefano Fioravanti, Lucie Charlotte Magister, Pietro Barbiero, Pietro Lio, Francesco Giannini:
Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach. TAG-ML 2023: 156-168 - [c2]Lucie Charlotte Magister
, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò:
Concept Distillation in Graph Neural Networks. xAI (3) 2023: 233-255 - [i11]Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò:
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR abs/2302.04899 (2023) - [i10]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra:
Interpretable Neural-Symbolic Concept Reasoning. CoRR abs/2304.14068 (2023) - [i9]Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic:
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR abs/2305.10552 (2023) - [i8]Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR abs/2307.00316 (2023) - [i7]Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lio, Pietro Barbiero:
Interpretable Graph Networks Formulate Universal Algebra Conjectures. CoRR abs/2307.11688 (2023) - [i6]Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski:
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR abs/2311.15112 (2023) - [i5]Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò:
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR abs/2312.02225 (2023) - 2022
- [i4]Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Pietro Liò, Mateja Jamnik:
Encoding Concepts in Graph Neural Networks. CoRR abs/2207.13586 (2022) - [i3]Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR abs/2208.10609 (2022) - [i2]Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
Teaching Small Language Models to Reason. CoRR abs/2212.08410 (2022) - 2021
- [c1]Lucie Charlotte Magister, Ognjen Arandjelovic:
Generative Image Inpainting for Retinal Images using Generative Adversarial Networks. EMBC 2021: 2835-2838 - [i1]Lucie Charlotte Magister, Dmitry Kazhdan, Vikash Singh, Pietro Liò:
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks. CoRR abs/2107.11889 (2021)
Coauthor Index
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