Teaching

  • 2021-2022
  • Modelling and Optimization in Machine Learning: Exercises classes and labworks (Polytech Nice MAM4/EIT Digital)
  • Introduction to Artificial Intelligence: Classes and labworks (first 4 classes - EUR DS4H/SPECTRUM/LIFE)          Moodle's link
  • Signals and Systems: Classes, exercises classes and labworks (Polytech Nice PeiP2)                                         Moodle's link
  • Augmented Reality: Classes and exercises classes (Polytech Nice MAM4/SI4)                                                       Moodle's link
  • Statistics and R: Classes and exercises classes (Polytech Nice MAM4/SI4)                                                            Moodle's link
  • End of semester projects (Polytech Nice MAM4)
Proposed subjects: (Under construction)
  • Final year project (Polytech Nice MAM5)
Proposed subject: Optimizing the Compression Rates in Deep Compression Methods using Bayesian Optimization
 
  • Other courses and projects from previous years
  • End of semester projects (Polytech Nice MAM4)
Proposed subjects: Decompositions of a Small Tensor
          Multidimensional Data Compression using Quantization of Low-Rank Tensor Models
          Data Visualization using the Distance Correlation
          Development of a python module for tensor decompositions (in French)
          Concepts visualization with google similarity metric (in French)
          Movie recommandation with matrices and tensors (in French)
  • Final year projects (Polytech Nice MAM5/M2 EIT DIGITAL):
Proposed subjects: Gradient algorithms for co-clustering and higher-order co-clustering
                                Model-Based Clustering with Symmetric Tensor Decompositions
                                Tensor and matrix factorizations in python: application to recommender systems
  • Big Data Technologies: Labworks (M1/M2 EIT Digital)
  • Large-scale Distributed Computing Systems: Labworks (M1/M2 EIT Digital)
  • Tensor Decompositions and Applications (M2 Data Science UCA)
  • Machine Learning for Big Data: Classes and exercises classes (Polytech Nice SI4)
  • Data processing and statistics: Exercises classes (Polytech Nice SI3)
  • Mathematics: Exercises classes (Grenoble INP - ENSE3 1st year)
  • Digital transmission systems: Labworks (Grenoble INP - M2 CSE ENSIMAG)
  • Français