Gianvito Losapio

Gianvito Losapio

Artificial I.

About me

Hi! I am 26 and have been doing 4+ years of research in machine learning with >6 publications. I am currently a first-year PhD student at Politecnico di Milano, working on reinforcement learning in Marcello Restelli‘s lab (consistently well-represented at NeurIPS, ICML). My PhD is funded by the AI4REALNET project.

Previously, I was at the Machine Learning Genoa Center in the group of Lorenzo Rosasco (also at MIT) and Agnese Seminara.

🧠 Intelligence 🧠 to me is just a computational problem. I am working on a formal theory out of this idea. Reach out if you are interested, I am looking for collaborators!

During formative years I interned at CERN and at the National Research Council of Italy. I also attended two editions of the M2L school (sponsored by Google DeepMind) presenting two posters.

Interests

  • Reinforcement learning
  • Cognitive neuroscience

Education

  • M.S. in Artificial Intelligence, 2022

    University of Genoa

  • B.S. in Computer Science and Automation Engineering, 2019

    Polytechnic University of Bari

Publications

(2022). Learning new physics efficiently with nonparametric methods. European Physical Journal C, 82(10), 879.

PDF Poster DOI

(2022). Smart Balancing of E-scooter Sharing Systems via Deep Reinforcement Learning: a preliminary study. WOA2021 & Intelligenza Artificiale, 16(1), 49-67.

PDF DOI

(2022). Efficient Machine Learning for new physics discoveries. Master Thesis.

PDF Slides

(2021). Efficient kernel methods for model-independent new physics searches. NeurIPS 2021, Machine Learning and the Physical Sciences Workshop.

PDF

(2021). Machine Learning for 40 MHZ Scouting at CMS. Zenodo.

PDF Slides Video DOI

(2020). Lightweight and efficient convolutional neural networks for recognition of dolphin dorsal fins. IMEKO TC-19 International Workshop on Metrology for the Sea.

PDF Video

(2020). Combined Color Semantics and Deep Learning for the Automatic Detection of Dolphin Dorsal Fins. Electronics, 9(5), 758.

PDF Poster DOI

(2019). Tecniche di Deep Learning e Object Detection per la foto-identificazione dei cetacei. Bachelor Thesis.

PDF Slides

Misc

Interview to Professor Alessandro Verri

During my period at MaLGa, I had the pleasure to speak with professor Alessandro Verri about topics such as artificial intelligence, faith, consciousness. Below you will find the English version of the interview.
Last updated on Mar 29, 2023 16 min read Interviews

Notes

Efficient generalization in Partially Observable Markov Decision Processes: a case study

Contact

  • gvlosapio (AT) gmail (DOT) com
  • Via Camillo Golgi 39, Milan | Building 21 - Office 15 (first floor),