David Stutz

DeepMind

Names

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David Stutz

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.

****@mpi-inf.mpg.de
,
****@rwth-aachen.de
,
****@deepmind.com

Education & Career History

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Researcher
DeepMind (deepmind.com)
2022Present
 
PhD student
Saarland Informatics Campus, Max-Planck Institute (mpi-inf.mpg.de)
20172022
 
Research Scientist Intern
DeepMind (google.com)
20212021
 
MS student
RWTH Aachen University (rwth-aachen.de)
20142017
 
Undergrad student
RWTH Aachen University (rwth-aachen.de)
20112014
 

Advisors, Relations & Conflicts

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

Coauthor
Ali Taylan Cemgil
****@google.com
2021Present
 
Coauthor
Arnaud Doucet
****@google.com
2021Present
 
Coauthor
Dj Dvijotham
****@google.com
2021Present
 
Coauthor
Nandhini Chandramoorthy
****@ibm.com
2020Present
 
PhD Advisor
Bernt Schiele
****@mpi-inf.mpg.de
2017Present
 
PhD Advisor
Matthias Hein
****@uni-tuebingen.de
2017Present
 
Social
Kathrin Grosse
****@cispa.saarland
2017Present
 
Social
Marius Mosbach
****@lsv.uni-saarland.de
2017Present
 
Coworker
Andreas Geiger
****@tuebingen.mpg.de
20172017
 
Coworker
Bastian Leibe
****@vision.rwth-aachen.de
20142017
 

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

conformal prediction
2021Present
 
uncertainty estimation
2021Present
 
out-of-distribution detection
2019Present
 
adversarial patches
2019Present
 
adversarial robustness
2017Present
 
adversarial examples
2017Present
 
adversarial machine learning
2017Present