Haggai Maron

Technion - Israel Institute of Technology, Technion

Names

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

Haggai Maron (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
,
****@weizmann.ac.il

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.

Assistant Professor
Technion - Israel Institute of Technology, Technion (technion.ac.il)
2023Present
 
Research Scientist
NVIDIA (nvidia.com)
2019Present
 
PhD student
Weizmann Institute (weizmann.ac.il)
20152019
 

Advisors, Relations & Conflicts

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

Coauthor
Fabrizio Frasca
****@gmail.com
Present
 
Coauthor
Beatrice Bevilacqua
****@purdue.edu
Present
 
Coauthor
Eran Treister
****@gmail.com
2022Present
 
Coauthor
Michael Bronstein
****@cs.ox.ac.uk
2022Present
 
Coauthor
Christopher Morris
****@tu-dortmund.de
2021Present
 
Coauthor
Nils M. Kriege
****@tu-dortmund.de
2021Present
 
Coauthor
Bastian Rieck
****@rieck.me
2021Present
 
Coauthor
Martin Grohe
****@informatik.rwth-aachen.de
2021Present
 
Coauthor
Mathias Fey
****@tu-dortmund.de
2021Present
 
Coauthor
Karsten Borgwardt
****@ethz.ch
2021Present
 
Coauthor
Derek Lim
****@mit.edu
2021Present
 
Coauthor
Shie Mannor
****@ee.technion.ac.il
2020Present
 
Coauthor
Gal Chechik
****@nvidia.com
2020Present
 
PhD Advisor
yaron lipman
****@weizmann.ac.il
20152019
 

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

Graph Neural Networks
2018Present
 
Equivariance and invariance in deep learning
2018Present
 
Shape Analysis
2015Present
 
Deep Learning
2015Present