Lectures

Machine Learning & A.I. at Télécom Physique Strasbourg (2025)

This is an introductory course to AI and machine learning, jointly delivered by Pierre Charbonnier, Hassen Dira and myself to the entire 2nd year class of the engineering school Télécom Physique Strasbourg, between September and December 2025. It consists of 7*1,75 hours of lectures and 7,5 hours of tutorials in scikitlearn.

Slides for the first two introductory lectures (Chap 1 & 2):

Summer School 2025 in Strasbourg – « Deep Learning & Applications »

This is the material for the lectures and tutorial I gave at the 2025 summer school on Deep Learning & Applications at the university of Strasbourg (website), which took place on August 25-29, 2025.

Advanced Deep Learning at Télécom Physique Strasbourg (2025)

This is a course on advanced deep learning taught as a 2nd year option at the engineering school Télécom Physique Strasbourg. It consists of 6*1,75 hours of lectures, and 6*2 hours of tutorials in pytorch.

Here are the lecture slides in pdf:

Here are the materials for the turorial / lab sessions. These tutorials were originally created by Paul Magron. The .zip files are password protected.

Intelligent Sensing Winter School 2021

On December 9th 2021, I gave a virtual lecture entitled « Machine Learning for Indoor Acoustics » at the Intelligent Sensing Winter School of the Queen Mary University of London. This year’s themes were « AI for sound perception, AI for visual perception, AI for multimodal perception ». You can download the slides here: QMUL_CIS_Winter_School_deleforge_09.12.2021_split.pdf.

IEEE S3P 2019 Summer School in Arenzano

On September 13th 2019, I gave a lecture entitled « Taking the Best of Physics and Machine Learning in Robot Audition » at the IEEE S3P 2019 Summer School in Arenzano, Italy. This year’s theme was « Signal Processing for Autonomous Systems ». You can download the slides here: S3P2019_deleforge_animated.pdf.

Master ISTIC – Module VAI

This a short course taught at the university of Rennes in 2017 and 2018, consisting of 2*2 hours of lectures and 2 hours of tutorial. Here are the slides (In English) of my lectures on Auditory Scene Synthesis and Analysis (Spatialization, Localization, Separation) : cours_ISTIC_casa_2017_english.pdf

Bayesian Learning for Signal Processing

On August the 24th 2015, Mikkel Schmidt and I were invited to give a tutorial on Bayesian Learning for Signal Processing at LVA/ICA 2015’s summer school in Liberec (Czech Republic). Here are the slides of the two parts I presented

Unsupervised Learning

This is a series of four 3-hour long practical sessions in Matlab on unsupervised learning taught at the Engineering school Télécom Physique Strasbourg (2021 – 2024).