Steffen Schneider

Swiss Federal Institute of Technology Lausanne

Names

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

Steffen Schneider (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.

****@tum.de
,
****@rwth-aachen.de
,
****@bethgelab.org
,
****@uni-tuebingen.de
,
****@gmail.com
,
****@fb.com
,
****@epfl.ch
,
****@hey.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.

PhD student
Swiss Federal Institute of Technology Lausanne (epfl.ch)
2021Present
 
PhD student
University of Tuebingen (uni-tuebingen.de)
2019Present
 
Researcher
Amazon (amazon.com)
20202021
 
Researcher
Facebook AI Research (fb.com)
20182019
 
MS student
University of Tuebingen (uni-tuebingen.de)
20182018
 
MS student
Technical University Munich (tum.de)
20162018
 
MS student
University of Kent (kent.ac.uk)
20172017
 
MS student
Imperial College London (imperial.ac.uk)
20172017
 
Undergrad student
RWTH Aachen University (rwth-aachen.de)
20132016
 

Advisors, Relations & Conflicts

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

PhD Advisor
Mackenzie Mathis
****@epfl.ch
2019Present
 
PhD Advisor
Matthias Bethge
****@bethgelab.org
2018Present
 
Coauthor
Michael Auli
****@fb.com
20182019
 
Coauthor
Ronan Collobert
****@fb.com
20182019
 
Coauthor
Alexander Ecker
****@uni-tuebingen.de
20182018
 
Coauthor
Jakob Macke
****@caesar.de
20182018
 
Coauthor
Daniel Bug
****@lfb.rwth-aachen.de
20152018
 
Coauthor
Dorit Merhof
****@lfb.rwth-aachen.de
20152018
 

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

self-supervised learning, contrastive learning, unsupervised pre-training
Present
 
domain adaptation, transfer learning, adaptation
Present
 
computational neuroscience, sensorimotor learning
Present