Shubhendu Trivedi

Massachusetts Institute of Technology

Names

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Shubhendu Trivedi (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.

****@ttic.edu
,
****@csail.mit.edu
,
****@sparkneuro.com

Education & Career History

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Research Associate
Massachusetts Institute of Technology (mit.edu)
2019Present
 
Research Affiliate
Massachusetts Institute of Technology (mit.edu)
20182019
 
Institute Fellow
Brown University (Institute for Computational and Experimental Research in Mathematics) (brown.edu)
20182019
 
Research Assistant
Toyota Technological Institute at Chicago (ttic.edu)
20132018
 
Graduate Researcher
University of Chicago (uchicago.edu)
20132018
 

Advisors, Relations & Conflicts

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Coauthor
Endre Szemerédi
****@rutgers.edu
Present
 
Postdoc Advisor
Tommi Jaakkola
****@csail.mit.edu
2019Present
 
Postdoc Advisor
Regina Barzilay
****@csail.mit.edu
2019Present
 
Coauthor
Brian D. Nord
****@fnal.gov
2017Present
 
Coauthor
Zhen Lin
****@illinois.edu
2017Present
 
Coauthor
Cengiz Pehlevan
****@seas.harvard.edu
20202021
 
PhD Advisor
Gregory Shakhnarovich
****@ttic.edu
20132018
 
Coauthor
David McAllester
****@ttic.edu
20142015
 
Coauthor
Samory Kpotufe
****@columbia.edu
20142014
 
MS Advisor
Neil Heffernan
****@wpi.edu
20112012
 
MS advisor
Gabor Sarkozy
****@cs.wpi.edu
20112012
 

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 Learning
2019Present
 
Conformal Prediction
2019Present
 
Learning Dynamical Systems
2018Present
 
Machine Learning for Physics/Chemistry
2017Present
 
Group Equivariant Neural Networks
2016Present
 
Graph Neural Networks
2016Present
 
Neural Networks
2012Present
 
Learning on graphs
2011Present
 
Metric and Similarity Learning
2011Present
 
Clustering
2009Present
 
Data Mining
2008Present