Registrations are open for our Summer Schools DLCV, MLCC and AHAML

Registrations are open for MaLGa's 2024 Summer Schools: Deep Learning and Computer Vision (DLCV), Machine Learning Crash Course (MLCC) and Applied Harmonic Analysis and Machine Learning (AHAML)!

The third edition of the DLCV (Deep Learning and Computer Vision) School, merging two crash courses, provides a hands-on introduction to basic principles of deep learning, computer vision, and their strong interconnection. A guided tour on recent deep learning approaches for computer vision tasks will also be provided. Besides the analysis of well-established approaches, the course will highlight current trends and open problems.

MLCC (Machine Learning Crash Course) was held for the first time in 2014 and has evolved into different formats since then. It introduces the fundamental methods at the core of modern Machine Learning, covering theoretical foundations as well as essential algorithms.

This fifth edition of AHAML consists of three courses on applied harmonic analysis and machine learning. The lecturers will be Karlheinz Gröchenig (University of Vienna), Alberto Setti (University of Insubria) & Davide Bianchi (Sun Yat-sen University) and Irène Waldspurger (CNRS). We will also host a one-day workshop with invited speakers and selected contributed talks/posters from the participants.

All schools will include lectures and hands-on lab activities , and are open to students, postdocs and faculty from any university, and professionals. The maximum number of participants for each school is 120. We won't miss the chance to offer fun and educational activities during our schools: seminars, workshops, poster sessions, an aperitif to get to know each other better…Read all the details about each specific course at the links below, and find out how to apply!