News

Nov 08, 2024 I’m excited to participate as both a panelist and speaker at the AI Research Symposium @UCSC!
Sep 25, 2024 After the summer break, we are resuming our BrainStorm Reading Group! To join us, simply fill out this form: LINK
Jul 08, 2024 Officially started my position as a postdoctoral researcher at UCSC!
Jun 20, 2024 I will join the “Understanding Higher-Level Intelligence from AI, Psychology, and Neuroscience Perspectives” workshop at the Simons Institute @Berkeley running 24-27 June! See you there!
May 07, 2024 Thrilled to announce the successful defense of my PhD dissertation, titled “Explaining Deep Neural Networks by Leveraging Intrinsic Methods.”
Apr 30, 2024 I am going to present my work on Intrinsic Methods for Explaining Deep Neural Networks in a public seminar at the DIAG Department, Sapienza University, at 5 PM CET.
Apr 24, 2024 Successfully passed my PhD internal defense!
Mar 04, 2024 Presented my research and an XAI overview in the “Seminars in AI” course at DIAG @Sapienza.
Feb 28, 2024 Just submitted my PhD thesis to the committee!
Feb 26, 2024 Heading to #AAAI2024 to host our workshop “XAI 4 Deep Reinforcement Learning” on Feb 27th!
Nov 27, 2023 Honored to be an invited talk at Potsdam University about our paper on the State of the Art in Visual Analytics for eXplaining Deep Learning.
Sep 21, 2023 I will attend ECAI 2023 in Kraków at the end of September. See you there!
Sep 15, 2023 Our workshop “XAI 4 Deep Reinforcement Learning” has been accepted at AAAI 2024! Stay tuned for the call for papers.
Mar 31, 2023 Presented my research and an overview of the XAI field in the “Seminars in AI” course at DIAG @Sapienza.
Mar 27, 2023 Returned from a six-month visiting scholar experience at UCSC. What an incredible journey!
Mar 17, 2023 Our paper “Explainable AI in Drug Discovery: Self-interpretable Graph Neural Network for Molecular Property Prediction Using Concept Whitening” was accepted in the Machine Learning Journal. Congratulations to Michela Proietti on her first publication!
Feb 06, 2023 Honored to be recognized as a top 10% reviewer for AISTATS 2023!
Jan 10, 2023 Delighted to announce that our paper “The State of the Art of Visual Analytics for eXplainable Deep Learning” was accepted for publication in Computer Graphics Forum.
Dec 02, 2022 Presented my discussion paper at the AIxIA 2021 Conference.
Nov 17, 2022 Proud to share that our paper “Prototype-based Interpretable Graph Neural Networks” has been published in IEEE Transactions on Artificial Intelligence.
Oct 20, 2022 Awarded a Starting Research Grant for my work on interpreting the knowledge encoded in neurons!
Aug 27, 2022 Started a six-month visiting scholar position at UCSC, supervised by Prof. Leilani Gilpin.
May 05, 2022 Published our paper “A Self-interpretable Module for Deep Image Classification on Small Data” in Applied Intelligence Journal (available here).
May 05, 2022 Published our paper “A Self-interpretable Module for Deep Image Classification on Small Data” in Applied Intelligence Journal (available here).
Dec 14, 2021 Successfully moderated the XAI4Debugging Workshop at NeurIPS 2021. Thanks to all participants and co-organizers!
Oct 07, 2021 Happy to share I have two accepted papers at AIxIA 2021:
  1. “Detection Accuracy for Evaluating Compositional Explanations of Units” (preprint here).
  2. “A Discussion about Explainable Inference on Sequential Data via Memory-Tracking” (based on our IJCAI paper).
Sep 17, 2021 The preprint of our paper “Detection Accuracy for Evaluating Compositional Explanations of Units” is now available here.
Jul 23, 2021 Our NeurIPS 2021 workshop proposal “eXplainable AI Approaches for Debugging and Diagnosis” has been accepted!
Jan 13, 2021 Presented our paper on memory-based explanations at IJCAI 2020!!!
Oct 04, 2020 We just published a blog post on our paper “Explainable Inference on Sequential Data via Memory-Tracking” here.
Sep 29, 2020 Just won a three-year PhD scholarship at Sapienza University!! I will join the KRL Group under the supervision of Prof. Roberto Capobianco!
Apr 20, 2020 Our paper “Explainable Inference on Sequential Data via Memory-Tracking.” has been accepted at IJCAI-PRICAI 2020!!!