Alexander William Bergman

Stanford University

Names

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

Alexander William Bergman (Preferred)
,
Alexander Bergman
,
Alexander W. Bergman

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.

****@stanford.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.

PhD student
Stanford University (stanford.edu)
2018Present
 
Undergrad student
University of California, San Diego (ucsd.edu)
20142018
 

Advisors, Relations & Conflicts

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

Coauthor
Yifan Wang
****@stanford.edu
2022Present
 
Coauthor
Eric Chan
****@stanford.edu
2020Present
 
PhD Advisor
Gordon Wetzstein
****@stanford.edu
2019Present
 
Coauthor
David Lindell
****@stanford.edu
2019Present
 
Coworker
Mark Nishimura
****@stanford.edu
2019Present
 
Coauthor
Petr Kellnhofer
****@stanford.edu
2019Present
 
Coworker
Cindy Nguyen
****@stanford.edu
2019Present
 
Coauthor
Belen Masia
****@unizar.es
20202021
 
Coauthor
Ana Serrano
****@mpi-inf.mpg.de
20202021
 
Coauthor
Daniel Martin
****@unizar.es
20202021
 
Coauthor
Julien Martel
****@stanford.edu
20192021
 
Coauthor
Vincent Sitzmann
****@cs.stanford.edu
20192020
 
Coauthor
Paul Siegel
****@ucsd.edu
20162018
 
Coauthor
Yi Liu
****@eng.ucsd.edu
20162018
 
Coauthor
Pengfei Huang
****@gmail.com
20162018
 

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

Neural Rendering
2019Present
 
Neural Scene Representations
2019Present