Università degli Studi di Pavia

Facoltà di Ingegneria


Artificial Intelligence

Reading Group

Since 2013

Episodes (in reverse chronological order):



  1. 2017.06.16

    Marco Piastra [email]
    Computer Vision and Multimedia Lab
    Università degli Studi di Pavia

    Deep Learning: a theoretical introduction
    A short course for PhD students.
    Episode 3: a bag of wonderful tricks [pdf]
    Deep Convolutional Neural Networks (DCNN); basic principles and gradient computations; layer-oriented analysis; image generation; abstraction: what kind of information is represented at each layer; variants and applications; Deep Learning for non-imaging applications.

  2. 2017.06.09

    Marco Piastra [email]
    Computer Vision and Multimedia Lab
    Università degli Studi di Pavia

    Deep Learning: a theoretical introduction
    A short course for PhD students.
    Episode 2: the turning point [pdf]
    Probabilistic approach; undirected graphical model; Restricted Boltzmann Machine (RBM); Deep Boltzmann Machines (DBM); Deep Belief Network as an approximation to DBM; deep autoencoders and associative memory; generative model.

  3. 2017.05.26

    Marco Piastra [email]
    Computer Vision and Multimedia Lab
    Università degli Studi di Pavia

    Deep Learning: a theoretical introduction
    A short course for PhD students.
    Episode 1: what we already knew [pdf]
    A review the basic definitions for feed-forward neural networks; formal results related; potential advantages of deep network architectures; ensuing problems for automatic learning.

  4. 2015.10.02

    Edoardo Maria Ponti [email]
    Dipartimento di Studi Umanistici
    Sezione di Linguistica Teorica e Applicata
    Università degli Studi di Pavia

    Machine Learning techniques applied to dependency parsing
    [pdf]

  5. 2015.03.27

    Andrea Pedrini [email]
    Dipartimento di Matematica "Federigo Enriques"
    Università degli Studi di Milano

    The Hidden Topology of a Noisy Point Cloud
    (Part III) [pdf]

    A critical reading of "Geometric Inference for Probability Measures" by Chazal, Steiner & Merigot, 2011.

  6. 2015.03.20

    Andrea Pedrini [email]
    Dipartimento di Matematica "Federigo Enriques"
    Università degli Studi di Milano

    The Hidden Topology of a Noisy Point Cloud
    (Part I) [pdf] and (Part II) [pdf]

    A critical reading of "Geometric Inference for Probability Measures" by Chazal, Steiner & Merigot, 2011.

  7. 2014.02.14

    Giacomo Parigi [email]
    Computer Vision and Multimedia Lab
    Università degli Studi di Pavia

    Improving the Machine Interpretation of Internet Posts
    (Part II)
    [pdf]
    Extraction of a lightweight, domain independent semantic network from the Wikipedia categorization system

  8. 2014.01.31

    Giacomo Parigi [email]
    Computer Vision and Multimedia Lab
    Università degli Studi di Pavia

    Improving the Machine Interpretation of Internet Posts
    (Part I)
    [pdf]
    Extraction of a lightweight, domain independent semantic network from the Wikipedia categorization system

  9. 2013.06.07

    Giulia Matrone [email]
    Laboratorio di Bioingegneria 2
    Università degli Studi di Pavia

    Modeling and simulation of 3D ultrasound imaging systems with integrated micro-beamforming electronics [pdf]

  10. 2013.05.31

    Marco Piastra [email]
    Computer Vision and Multimedia Lab
    Università degli Studi di Pavia

    The Connections: point clouds, offset, homotopy type, Delaunay complex, critical function and all thatů [pdf]
    A few observations about the relevance of "The Hidden Topology of a Point Cloud" (see below) for effective algorithms

  11. 2013.05.17

    Andrea Pedrini [email]
    Dipartimento di Matematica "Federigo Enriques"
    Università degli Studi di Milano

    The Hidden Topology of a Point Cloud (Part II) [pdf]

  12. 2013.02.22

    Andrea Pedrini [email]
    Dipartimento di Matematica "Federigo Enriques"
    Università degli Studi di Milano

    The Hidden Topology of a Point Cloud (Part I) [pdf]

  13. 2013.01.18

    Laura Brandolini [email]
    Computer Vision and Multimedia Lab
    Università degli Studi di Pavia

    A Discrete Approach to Reeb Graph Computation and Surface Mesh Segmentation: Theory and Algorithm [pdf]

Contact

  1. Marco Piastra

    marco.piastra@unipv.it