Artificial Intelligence RG

Episodes (in reverse chronological order):

2023.05.26 Ph.D. Program in Electronics, Computer Science and Electrical Engineering - University of Pavia

Probabilistic Graphical Models and Causal Inference

Episode 3: Structural Causal Models (from Interventions to Counterfactuals) [pdf]
- Berkeley Admission test (path-specific) [xdsl]
2023.05.04 Ph.D. Program in Electronics, Computer Science and Electrical Engineering - University of Pavia

Probabilistic Graphical Models and Causal Inference

Episode 2: Causal Graphical Models [pdf]

Examples with "GeNIe" (free academic version) available at BayesFusion llc [link]:
- Berkeley Admission test [xdsl]
- Berkeley Admission test (modified) [xdsl]
- Berkeley dataset [csv]
2023.04.27 Ph.D. Program in Electronics, Computer Science and Electrical Engineering - University of Pavia

Probabilistic Graphical Models and Causal Inference

Episode 1: Probabilistic Graphical Models [pdf]
2020.07.10 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2020

Episode 4, Part 1: TensorFlow Basics [pdf]
2020.07.07 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2020

Episode 3: Deep Convolutional Neural Networks [pdf]
2020.07.03 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2020

Episode 2: The Quest for Deeper Networks [pdf]
2020.06.30 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2020

Episode 1: Artificial Neural Networks [pdf]
2020.06.30 - 2018.07.24 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2020
Detailed Syllabus [pdf]
2019.05.20 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2019

Exercises for laboratory activity [BitBucket]
2019.05.17 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2019

Episode 4: TensorFlow Basics - Part 1 [pdf]
Episode 4: TensorFlow Basics - Part 2 [pdf]
2019.05.13 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2019

Episode 3: Deep Convolutional Neural Networks [pdf]
2019.05.10 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2019

Episode 2: The Quest for Deeper Networks [pdf]
2019.05.03 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2019

Episode 1: Artificial Neural Networks [pdf]
2019.05.03 - 2018.06.10 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course, 2019
Detailed Syllabus [pdf]
2018.06.07 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow
A Short Course for PhD Students

Submission of Project Proposals [pdf]
Exercises for laboratory activity [BitBucket]
2018.05.25 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow
A Short Course for PhD Students

Episode 4: TensorFlow Basics - Part 1 [pdf]
Episode 4: TensorFlow Basics - Part 2 [pdf]
2018.05.18 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course
Episode 3: Deep Convolutional Neural Networks [pdf]
2018.05.11 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course
Episode 2: The Quest for Deeper Networks [pdf]
2018.05.04 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course
Episode 1: Artificial Neural Networks [pdf]
2018.05.04 - 2018.06.14 Ph.D. School of Electrical and Electronics Engineering and Computer Science - University of Pavia

Deep Learning and TensorFlow - A Short Course
Detailed Syllabus [pdf]
2018.01.25
Marco Piastra [email]
Computer Vision and Multimedia Lab
Università degli Studi di Pavia

Smart inventory management: Will Deep Reinforcement Learning help us win the game? [pdf]
In collaboration with Ariadne Srl
An experimental application of Deep Reinforcement Learning (DRL) to a specific e-commerce problem.
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.
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.
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.
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]
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.
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.
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
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
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]
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 that… [pdf]
A few observations about the relevance of "The Hidden Topology of a Point Cloud" (see below) for effective algorithms
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]
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]
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]

Università degli Studi di Pavia

Facoltà di Ingegneria

Artificial Intelligence

Reading Group

Since 2013

Episodes (in reverse chronological order):

Contacts