Matteo Papini

Universitat Pompeu Fabra

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Matteo Papini (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@polimi.it
,
****@upf.edu

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Postdoc
Universitat Pompeu Fabra (upf.edu)
2021Present
 
PhD student
Politecnico di Milano (polimi.it)
20172021
 
Research Intern
Facebook (fb.com)
20202020
 
MS student
Politecnico di Milano (polimi.it)
20152017
 
Undergrad student
Politecnico di Milano (polimi.it)
20122015
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Lorenzo Lupo
****@univ-grenoble-alpes.fr
2020Present
 
Coauthor
Nico Montali
****@gmail.com
2020Present
 
Coauthor
Alessandro Lazaric
****@fb.com
2020Present
 
Coauthor
Pierluca D'Oro
****@mila.quebec
2019Present
 
Coauthor
Mario Beraha
****@polimi.it
2019Present
 
Coauthor
Lorenzo Bisi
****@polimi.it
2019Present
 
Coauthor
Luca Sabbioni
****@polimi.it
2019Present
 
Coauthor
Edoardo Vittori
****@polimi.it
2019Present
 
Coauthor
Alberto Maria Metelli
****@polimi.it
2018Present
 
Coauthor
Andrea Tirinzoni
****@polimi.it
2018Present
 
Coauthor
Francesco Faccio
****@usi.ch
2018Present
 
Coauthor
Giuseppe Canonaco
****@polimi.it
2018Present
 
PhD Advisor
Marcello Restelli
****@polimi.it
2017Present
 
Coauthor
Matteo Pirotta
****@fb.com
2017Present
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Reinforcement Learning
2017Present