Scientific talk by Alexandre Martin Abstract: Geometric Deep Learning (GDL) represents a major advance in the analysis of geometrically structured data, by hardcoding the principles of symmetry and invariance into architectures. Unlike traditional deep learning architectures, which are mainly adapted to Euclidean data, GDL ones extend to non-Euclidean domains such…
Talk by Arnaud Legout (DIANA)How to Give a Good Talk? Abstract: Do you have to give a talk at a conference, seminar, workshop, or even just a meeting? Are you lacking confidence or uncertain about how to prepare your slides and give your talk? Have you already received lots of…
Scientific talk by Mubasharah Omer (Factas)Field Extrapolation for Inverse Magnetization Problems Abstract: Scanning microscopes such as the Super-conducting Quantum Interference Device (SQUID) are being increasingly utilized in the context of paleomagnetic studies. For magnetized rock samples, these microscopes measure the vertical component of the weak magnetic field, produced by the…
Scientific talk by David LoiseauxTopological Persistence for Machine Learning Abstract: The development of data science and data acquisition technologies in the industry in the last decade led to the emergence of enormous datasets. In the context of Machine Learning, this induces several challenges both on the theoretical side, and on…
