Roberta Raileanu (Preferred)
Roberta Raileanu
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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.
****@cs.nyu.edu
, ****@gmail.com
, ****@nyu.edu
, ****@fb.com
Personal Links
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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.
Researcher
Facebook (fb.com)
2021 – Present
PhD student
New York University (nyu.edu)
2016 – 2021
Undergrad student
Princeton University (princeton.edu)
2012 – 2016
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Arthur Szlam
****@fb.com
2018 – Present
Coauthor
Joan Bruna
****@cims.nyu.edu
2018 – Present
Coauthor
Alex Peysakhovich
****@fb.com
2018 – Present
Coauthor
Sanyam Kapoor
****@nyu.edu
2018 – Present
Coworker
Katja Hofmann
****@microsoft.com
2018 – Present
Coauthor
Kyunghyun Cho
****@nyu.edu
2018 – 2021
Coauthor
Denis Yarats
****@cs.nyu.edu
2018 – 2021
PhD Advisor
Rob Fergus
****@cs.nyu.edu
2016 – 2021
Coworker
Will Whitney
****@gmail.com
2016 – 2021
Coauthor
Cinjon Resnick
****@nyu.edu
2016 – 2021
Coauthor
Ilya Kostrikov
****@gmail.com
2016 – 2021
Coauthor
Heinrich Küttler
****@fb.com
2019 – 2020
Coauthor
Andres Campero
****@mit.edu
2019 – 2020
Coauthor
Tim Rocktaschel
****@fb.com
2019 – 2019
Coauthor
Edward Grefenstette
****@ucl.ac.uk
2019 – 2019
Coauthor
Nantas Nardelli
****@robots.ox.ac.uk
2019 – 2019
Coworker
Sam Devlin
****@microsoft.com
2018 – 2018
Coworker
Sainbayar
****@cs.nyu.edu
2016 – 2018
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
reinforcement learning, generalization in RL, transfer and adaptation in RL, exploration in RL, learning from demonstrations, imitation learning, inverse reinforcement learning, multi-agent learning, modeling other agents, deep learning
2016 – Present