Rémy Sun

Second year of Master's degree (MVA: Mathématiques, Vision, Apprentissage)

First semester at ENS Paris-Saclay. (Ongoing)

  • PGM: Probabilistic Graphical models
  • GML: Graphs in Machine Learning
  • AlteGrad: Advanced learning for text and graph data.
  • CO: Convex optimization (Convexity, Duality, Newton's method, Barrier method, ...)
  • RL: Reinforcement learning (Policy learning, exploration/exploitation, value iteration, ...)
  • RECVIS: Object recognition.

First year of Master's degree

Second semester abroad at EPFL

  • BMNN: Biological modeling of neural networks (in the brain, NOT artificial neural networks)
  • INLP: Comutational linguistics
  • IA: Artificial intelligence (logical inference, perceptrons, genetic algorithms, ...)
  • CSP: Computer security and privacy

First semester at ENS Rennes

  • SGP: Processor system architecture
  • ACF: Formal programming design course
  • TS: Signal processing course
  • BOX: Experimental bio-informatics course (SNPs, SPARQL, statistics)
  • INVITE1: Statistical Machine Learning course (statistics, regression, ACP, spectral clustering, KNN, SVM, kernels)
  • AA: Advanced Algorithmics course (Linear programmation, Backtracking, Branch & Bound, Complexity classes)
  • XTRA: Initiation to research

Last year of Bachelor (ENS Rennes)

  • PROG1: Programmation course (Ocaml, Scala, functionnal programming, OOP)
  • ALGO1: Algorithmics course
  • ARCSYS: Low-level system architecture course
  • FOND1: Theoretical informatics course (Regular expressions, context-free grammar, Turing machine)
  • IRESI: introductory networks course
  • MATH1: Lebesgue integration course
  • PROG2: Programmation course (C++, Lisp, Ocaml)
  • ALGO2: Algorithmics course (NP-Hard problems, Approximation algorithms, Probabilistic algorithms)
  • IMA: Image processing course
  • MATH2: Probabilities course
  • XTRA: Initiation to research
  • ARCSYS2: System achitecture and networks course