Biagio Mattia La Rosa bio photo

Biagio Mattia La Rosa

I am a PhD student on Computer Engineering @ sapienza. My focus is to study methodologies to improve the interpretability of Deep Learning techniques. Passionate also about neuroscience, psychology, games, and astronomy.

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News

  • 27 Nov 23
    • This evening I will give a talk to the “AI, Culture & Society Club”@Postdam University about our paper on the State of the Art of VA for eXplaining Deep Learning
  • 22 Sep 23
    • I’m glad to announce that our paper “Towards a fuller understanding of neurons with Clustered Compositional Explanations” has been accepted at NeurIPS 2023. See you in New Orleans!
  • 15 Sep 23
  • 01 Sep 23
    • I’m going to partecipate to ECAI2023 in Cracow at the end of September! See you there!
  • 31 Mar 23
    • Presented my research work and an overview of the XAI field as a seminar for the course Seminars in AI at DIAG@Sapienza
  • 27 Mar 23
    • Just came back from my period abroad at UCSC. What a beautiful experience!
  • 17 Mar 23
    • Our paper “Explainable AI in Drug Discovery: Self-interpretable Graph Neural Network for molecular property prediction using Concept Whitening” has been accepted in the Machine Learning Journal! Congratulations for the first accepted paper to Michela Proietti!
  • 6 Feb 23
    • Proud to be nominated as a top 10% reviewer of AISTAT2023 !!
  • 10 Jan 23
    • I’m glad to share that our paper “The State of The Art of Visual Analytics for eXplainable Deep Learning” has been accepted for publication in the Computer Graphic Forum journal! Links and info coming soon!
  • 17 Nov 22
    • I’m glad to share that our paper “Prototype-based Interpretable Graph Neural Networks” has been published in the IEEE Transactions on Artificial Intelligence Journal! You can find info and link on the publication page.
  • 20 Oct 22
    • Happy to announce that I won a Starting Research Grant for my work on interpreting the knowledge encoded in neurons.
  • 27 Aug 22
    • I’m glad to announce that today I’m moving to the University of California of Santa Cruz as visitor scholar for 6 months and I will be supervised by prof. Leilani Gilpin
  • 05 May 22
    • I’m happy to announce that our paper “A self-interpretable module for deep image classification on small data” has been published today in the Applied Intelligence Journal (https://rdcu.be/cS4P5). Joint work with prof. Capobianco and prof. Nardi
  • 04 March 22
    • Presented my research work and an overview of the XAI field as a seminar for the course Seminars in AI at DIAG@Sapienza
  • 14 Dec 21
    • Successfully moderated the XAI4Debugging workshop at the NeurIPS2021 conference. Thank you to all the participants, authors and co-organizers!
  • 02 Dec 21
    • Tomorrow I am going to presenti my discussion paper at AIxIA 2021 conference.
  • 07 Oct 2021
    • I’m happy to share that I have two papers accepted at AIxIA 2021!!! “Detection Accuracy for Evaluating Compositional Explanations of Units” by Sayo M. Makinwa, Biagio La Rosa and Roberto Capobianco for which the pre-print is already available here; and a discussion paper titled “A Discussion about Explainable Inference on Sequential Data via Memory-Tracking” by Biagio La Rosa, Roberto Capobianco, and Daniele Nardi about our IJCAI paper of the last year. The link will be available online as soon as possible.’
  • 17 Sept 2021 Available the pre-print on ArXiv of our next paper Detection Accuracy for Evaluating Compositional Explanations of Units here
  • 23 July 2021
  • 23 July 2021
    • Congratulations to Sayo Makinwa who just graduated today! He is the first student that I have the honor to supervise. Congratulations!
  • 01 June 2021
    • Available the pre-print on Arxiv of our next paper Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models here
  • 13 Jan 2021
    • Presented our paper at IJCAI2020
  • 22 Dec 2020:
    • I’m happy to annunce that I will be a staff volunteer for IJCAI-PRICAI 2020 conference. See you soon at gather town!
  • 04 Oct 2020
    • Blog post about our paper Explainable Inference on Sequential Data via Memory-Tracking is officially out here
  • 29 Sept 2020:
  • 01 Sept 2020
    • Porting on PyTorch of our paper Explainable Inference on Sequential Data via Memory-Tracking is available on our github repository.
  • 10 Jul 2020
    • IJCAI-2020 proceedings are out!! You can find our paper here. The code and the blog post are coming soon!
  • 01 Jul 2020:
    • Won a research scholarship to continue my research on Explainable Artificial Intelligence @sapienza
  • 20 Apr 2020
    • Our paper on “Explainable Inference on Sequential Data via Memory-Tracking” has been accepted at IJCAI-PRICAI 2020 !!!
  • 20 Apr 2020:
    • Successfully defended my Master Thesis.
  • 23 March 2020: