Publications

2025

1. Pre-Print

   Open Vocabulary Compositional Explanations

   Biagio La Rosa, and Leilani H. Gilpin

   2025

   Bib

   @article{LaRosa2025,
     author = {Rosa, Biagio La and Gilpin, Leilani H.},
     title = {Open Vocabulary Compositional Explanations},
     year = {2025}
   }

2024

1. Thesis

   Explaining Deep Neural Networks by Leveraging Intrinsic Methods

   Biagio La Rosa

   Sapienza University of Rome, 2024

   Bib Official PDF arXiv

   @thesis{LaRosa2024thesis,
     title = {Explaining Deep Neural Networks by Leveraging Intrinsic Methods},
     author = {{La Rosa}, Biagio},
     year = {2024},
     address = {Rome, IT},
     school = {Sapienza University of Rome},
     type = {phdthesis},
   }

2023

1. Conference

   Towards a fuller understanding of neurons with Clustered Compositional Explanations

   Biagio La Rosa, Leilani H. Gilpin, and Roberto Capobianco

   In Thirty-seventh Conference on Neural Information Processing Systems, 2023

   Bib Official PDF Code

   @inproceedings{LaRosa2023Towards,
     title = {Towards a fuller understanding of neurons with Clustered Compositional Explanations},
     author = {{La Rosa}, Biagio and Gilpin, Leilani H. and Capobianco, Roberto},
     booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
     year = {2023},
     url = {https://openreview.net/forum?id=51PLYhMFWz},
   }

2. Journal

   Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening

   Michela Proietti, Alessio Ragno, Biagio La Rosa, and 2 more authors

   Machine Learning, 2023

   Bib DOI Official PDF Code

   @article{Proietti2023,
     author = {Proietti, Michela and Ragno, Alessio and {La Rosa}, Biagio and Ragno, Rino and Capobianco, Roberto},
     journal = {Machine Learning},
     title = {Explainable {AI} in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening},
     year = {2023},
     doi = {10.1007/s10994-023-06369-y},
     publisher = {Springer Science and Business Media {LLC}},
   }

3. Conference & Journal

   State of the Art of Visual Analytics for eXplainable Deep Learning

   B. La Rosa, G. Blasilli, R. Bourqui, and 6 more authors

   Computer Graphics Forum
   Presented also at the EuroVis Conference , 2023

   Bib DOI Official PDF Website

   @article{LaRosa2023,
     author = {{La Rosa}, B. and Blasilli, G. and Bourqui, R. and Auber, D. and Santucci, G. and Capobianco, R. and Bertini, E. and Giot, R. and Angelini, M.},
     journal = {Computer Graphics Forum},
     title = {State of the Art of Visual Analytics for eXplainable Deep Learning},
     year = {2023},
     issn = {1467-8659},
     number = {1},
     pages = {319--355},
     volume = {42},
     doi = {10.1111/cgf.14733},
     publisher = {Wiley},
   }

2022

1. Journal

   Prototype-based Interpretable Graph Neural Networks

   Alessio Ragno, Biagio La Rosa, and Roberto Capobianco

   IEEE Transactions on Artificial Intelligence, 2022

   Bib DOI Official PDF Code

   @article{Ragno2022,
     author = {Ragno, Alessio and {La Rosa}, Biagio and Capobianco, Roberto},
     journal = {IEEE Transactions on Artificial Intelligence},
     title = {Prototype-based Interpretable Graph Neural Networks},
     year = {2022},
     volume = {},
     number = {},
     pages = {1-11},
     doi = {10.1109/TAI.2022.3222618},
   }

2. Journal

   A self-interpretable module for deep image classification on small data

   Biagio La Rosa, Roberto Capobianco, and Daniele Nardi

   Applied Intelligence, 2022

   Bib DOI Official PDF Code

   @article{LaRosa2022,
     author = {La Rosa, Biagio and Capobianco, Roberto and Nardi, Daniele},
     journal = {Applied Intelligence},
     title = {A self-interpretable module for deep image classification on small data},
     year = {2022},
     issn = {1573-7497},
     number = {8},
     pages = {9115--9147},
     volume = {53},
     doi = {10.1007/s10489-022-03886-6},
     publisher = {Springer Science and Business Media LLC},
   }

3. Conference

   Detection Accuracy for Evaluating Compositional Explanations of Units

   Sayo M. Makinwa, Biagio La Rosa, and Roberto Capobianco

   In AIxIA 2021 - Advances in Artificial Intelligence, 2022

   Bib DOI Official PDF Code

   @incollection{Makinwa2022,
     author = {Makinwa, Sayo M. and {La Rosa}, Biagio and Capobianco, Roberto},
     booktitle = {AIxIA 2021 - Advances in Artificial Intelligence},
     publisher = {Springer International Publishing},
     title = {Detection Accuracy for~Evaluating Compositional Explanations of~Units},
     year = {2022},
     pages = {550--563},
     doi = {10.1007/978-3-031-08421-8_38},
   }

2021

1. Conference

   A Discussion about Explainable Inference on Sequential Data via Memory-Tracking

   Biagio La Rosa, Roberto Capobianco, and Daniele Nardi

   In AIxIA 2021 Discussion Papers, 2021

   Bib Official PDF Code

   @inproceedings{LaRosa2021,
     title = {A Discussion about Explainable Inference on Sequential Data via Memory-Tracking},
     author = {{La Rosa}, Biagio and Capobianco, Roberto and Nardi, Daniele},
     booktitle = {AIxIA 2021 Discussion Papers},
     publisher = {CEUR Workshop Proceedings},
     volume = {3078},
     pages = {33-44},
     year = {2021},
   }

2020

1. Conference

   Explainable Inference on Sequential Data via Memory-Tracking

   Biagio La Rosa, Roberto Capobianco, and Daniele Nardi

   In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20, 2020

   Bib DOI Official PDF Code Blog

   @inproceedings{LaRosa20,
     title = {Explainable Inference on Sequential Data via Memory-Tracking},
     author = {{La Rosa}, Biagio and Capobianco, Roberto and Nardi, Daniele},
     booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
                    Artificial Intelligence, {IJCAI-20}},
     publisher = {International Joint Conferences on Artificial Intelligence Organization},
     pages = {2006--2013},
     year = {2020},
     doi = {10.24963/ijcai.2020/278},
     url = {https://doi.org/10.24963/ijcai.2020/278},
   }