Andrea Dittadi

KTH Royal Institute of Technology

Names

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Andrea Dittadi (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.

****@dtu.dk
,
****@kth.se
,
****@gmail.com

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
KTH Royal Institute of Technology (kth.se)
2022Present
 
Guest Scientist
Max Planck Institute for Intelligent Systems, Max-Planck Institute (tuebingen.mpg.de)
20202023
 
PhD student
Technical University of Denmark (dtu.dk)
20182022
 
Intern
Amazon (amazon.com)
20212021
 
Intern
Max Planck Institute for Intelligent Systems, Max-Planck Institute (tuebingen.mpg.de)
20202020
 
Intern
Microsoft (microsoft.com)
20202020
 
Research assistant
Technical University of Denmark (dtu.dk)
20172018
 
MS student
Technical University of Denmark (dtu.dk)
20152017
 
MS student
Universita' degli studi di Padova (unipd.it)
20142017
 
Undergrad student
Universita' degli studi di Padova (unipd.it)
20112014
 

Advisors, Relations & Conflicts

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No relations added

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

variational inference
2018Present
 
generative models
2018Present
 
deep learning
2018Present
 
representation learning
2018Present