DEEP LEARNING: Theory, Algorithms, and Implications

    Workshop that aims at bringing together leading scientists in deep learning and related areas within machine learning, artificial intelligence, mathematics, statistics, and neuroscience.
    24/06/2025 — 26/06/2025

    Roma, Senato della Repubblica

    Roma

    Organized by Fondazione Bruno Kessler, University of Padua – Human Inspired  Technology Research Center

    Program: https://sites.google.com/fbk.eu/dl2025/program

     

    List of Speakers:

    Cesare Alippi, (PoliMI, USI (CH))
    Davide Bacciu (Università di Pisa)
    Pierre Baldi, (University of California Irvine)
    Virginia de Sa  (UC San Diego)
    Piero Fariselli,  (University of Torino)
    Paolo Frasconi, (University of Florence)
    Marco Gori, (University of Siena)
    Masaaki Imaizumi , (The University of Tokyo) / RIKEN AIP
    Robert Jenssen, (UiT The Arctic University of Norway)
    Leibo Joel, (Google DeepMind)
    Bruno Lepri, (FBK MoBs – Mobile and Social Computing Lab)
    Pietro Liò, (University of Cambridge)
    Marco Lippi,  (University of Florence)
    Stephan Mandt, (UC Irvine)
    Alessio Micheli (University of Pisa)
    Siddhartha Mishra (ETH Zurich)
    Andrea Montanari, (Stanford Univeristy)
    Antonio Orvieto (Max Planck Institute for Intelligent Systems)
    Andrea Passerini, (University of Trento)
    Massimiliano Pontil, (Istituto Italiano di Tecnologia & University College London)
    Minh Ha Quang, (RIKEN, Japan)
    Luciano Serafini, (FBK DKM – Data & Knowledge Management)
    Stefano Soatto, (UCLA)
    Alessandro Sperduti, (University of Padua – FBK)
    Masashi Sugiyama, (RIKEN/The University of Tokyo)
    Eric Xing, (Carnegie Mellon University)

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