Patrik Reizinger

Eberhard-Karls-Universität Tübingen

Names

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

Patrik Reizinger (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.

****@gmail.com
,
****@uni-tuebingen.de

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.

PhD student
Eberhard-Karls-Universität Tübingen (uni-tuebingen.de)
2021Present
 
MS student
Technical University of Budapest (bme.hu)
20192021
 
Undergrad student
Technical University of Budapest (bme.hu)
20152019
 

Advisors, Relations & Conflicts

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

Coauthor
Evgenia Rusak
****@uni-tuebingen.de
2022Present
 
Coauthor
Roland S. Zimmermann
****@uni-tuebingen.de
2022Present
 
PhD Advisor
Ferenc Huszár
****@cam.ac.uk
2021Present
 
PhD Advisor
Wieland Brendel
****@uni-tuebingen.de
2021Present
 
PhD Advisor
Bernhard Schölkopf
****@tuebingen.mpg.de
2021Present
 
PhD Advisor
Matthias Bethge
****@uni-tuebingen.de
2021Present
 
Coauthor
Yash Sharma
****@uni-tuebingen.de
2021Present
 
Coauthor
Jack Brady
****@tamu.edu
2021Present
 
Coauthor
Luigi Gresele
****@tuebingen.mpg.de
2021Present
 
Coauthor
Julius von Kügelgen
****@tuebingen.mpg.de
2021Present
 
Coauthor
Dominik Zietlow
****@tuebingen.mpg.de
2021Present
 
Coauthor
Michel Besserve
****@tuebingen.mpg.de
2021Present
 
Coauthor
Georg Martius
****@tuebingen.mpg.de
2021Present
 

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

Causal inference
2021Present
 
Independent Component Analysis
2021Present
 
Identifiability
2021Present
 
Blind Source Separation
2021Present
 
Causal representation learning
2021Present