Stage opportunities M2

• Multilevel proximal methods for image restoration

  LIP ENS Lyon, in collaboration with the physics departement of ENS Lyon. Click here for the detailed description of the stage. Contact me or Nelly Pustelnik for more information.

• Mixed Precision SGD strategies

  An internship proposal within Labex Cominlabs LEANAI project at ENS Lyon or Inria Rennes. Advisors: Elisa Riccietti (elisa.riccietti@ens-lyon.fr), Silviu Filip (silviu.filip@inria.fr). Click here for the detailed description of the stage. Contact me or Silviu Filip for more information.

• Mixed Precision DNNs Training with Second Order Optimization Methods

  An internship proposal within Labex Cominlabs LEANAI project at ENS Lyon or Inria Rennes. Advisors: Elisa Riccietti (elisa.riccietti@ens-lyon.fr), Silviu Filip (silviu.filip@inria.fr). Click here for the detailed description of the stage. Contact me or Silviu Filip for more information.

• Mixed Precision DNN Training with Multilevel Strategies

  An internship proposal within Labex Cominlabs LEANAI project at ENS Lyon or Inria Rennes. Advisors: Elisa Riccietti (elisa.riccietti@ens-lyon.fr), Silviu Filip (silviu.filip@inria.fr). Click here for the detailed description of the stage. Contact me or Silviu Filip for more information.

Stage opportunities M1

• Multilevel derivative free optimization

  University of Bologna, Italy. Advisors: Margherita Porcelli (margherita.porcelli@unibo.it), Elisa Riccietti (elisa.riccietti@ens-lyon.fr). Click here for the detailed description of the stage. Contact me or Margherita Porcelli for more information.

• Solution of ill-posed inverse problems by neural networks

  University of Firenze, Italy. Advisors: Stefania Bellavia (stefania.bellavia@unifi.it), Elisa Riccietti (elisa.riccietti@ens-lyon.fr). Click here for the detailed description of the stage. Contact me or Stefania Bellavia for more information.

Current teaching

• Optimization and approximation

  Computer science department of ENS Lyon. All the material and information for the course can be found in the course's web page. Here the program of the course and the notes.
  

• Fundamentals of machine learning

  Computer science department of ENS Lyon. All the material and information for the course can be found in the course's web page.