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Workshop "Regularisation for Inverse Problems and Machine Learning" - November 19, Campus Jussieu, Paris

17 Octobre 2019

Catégorie : Journée d étude

We are organising a one-day workshop "Regularisation for inverse problems and machine learning" which will be held at the Sorbonne Université, Campus Jussieu (room 16-26-209) on Tuesday November 19th 2019 in Paris.
The purpose of this workshop is to gather together experts working on problems arising in differents fiels such as imaging, machine learning and inverse problems theory in order to underline similarities and differences of the regularisation approaches used (such as Tikhonov, early stopping, implicit regularisation..).

 

We are organising a one-day workshop "Regularisation for inverse problems and machine learning" which will be held at the Sorbonne Université, Campus Jussieu (room 16-26-209) on Tuesday November 19th 2019 in Paris (see the program below).

 
The purpose of this workshop is to gather together experts working on problems arising in differents fiels such as imaging, machine learning and inverse problems theory in order to underline similarities and differences of the regularisation approaches used (such as Tikhonov, early stopping, implicit regularisation..).
 
Here is our program (a more detailed program with Titles and Abstracts can be found on the workshop website https://invprob-ml-workshop.github.io/):
 
09h45-10h15 Welcome Coffee
10h15-11h00 Talk by Martin Benning (Queen Mary University)
11h00-11h45 Talk by Silvia Villa (Universitá di Genova)
11h45-12h30 Talk by Martin Burger (FAU Erlangen-Nürnberg)
12h30-14h00 Lunch (Buffet)
14h00-14h45 Talk by Lorenzo Rosasco (LCSL, Universitá di Genova, MIT, IIT)
14h45-15h30 Talk by Marie-Caroline Corbineau (CentraleSupélec, Université Paris-Saclay)
15h30-16h00 Coffee break
16h00-16h45 Talk by Gilles Blanchard (Université Paris-Sud, Université Paris-Saclay)
 
 
Please notice that the registration (including lunch and coffee breaks) is free of charge, but mandatory.
 
Please fill in the registration form available at the event website by no later than *November 3*.
 
Feel free to forward this invitation to your collaborators and/or students who may be interested to attend.
 
We look forward to see many of you in Paris!
 
Best wishes,
 
Luca Calatroni, Guillaume Garrigos