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 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: