2024
- March 15, Whiteboard Seminar: Mathematics of Machine Learning, part 3 (online learning), Félicien Hêche, PhD candidate.
- March 8, Whiteboard Seminar: Mathematics of Machine Learning, part 2 (convex optimization), Félicien Hêche, PhD candidate.
- March 1, Mathematics of Machine Learning, Part 1, Félicien Heche, PhD candidate
- February 20, Analyzing train punctuality using AI methods and tools, Pierre Dominguez, Master of Science in Engineering (MSE) candidate
2021
2020
- September 8, Poissonization and Fano factors, final internship presentation, Ewa Strumilowska
- August 27, Ensemble learning for banking fraud detection, Jordan Mercier
- May 28, Random Forests and XGBoost, final internship presentation, Matilde Audrey
- May 27, Poissonization and Fano factors, midterm internship presentation, Ewa Strumilowska
- May 14, LSTM & GRU, final internship presentation, Ankit Panda
- March 30, LSTM & GRU, midterm internship presentation, Ankit Panda
- February 25, Time Series Analysis for Fraud Detection, final internship presentation, Giulia Moschini
2019