Roman Levin (Preferred)
Roman Levin
Amazon
Names
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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.
****@uw.edu
, ****@amazon.com
, ****@gmail.com
Personal Links
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Education & Career History
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Research Scientist
Amazon (amazon.com)
2022 – Present
PhD student
University of Washington, Seattle (uw.edu)
2017 – 2022
Undergrad student
Higher School of Economics (hse.ru)
2013 – 2017
Advisors, Relations & Conflicts
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Coauthor
Tom Goldstein
****@cs.umd.edu
2020 – Present
PhD Advisor
Aleksandr Aravkin
****@uw.edu
2017 – Present
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
Aligning with human preferences
2023 – Present
Large Language Models
2023 – Present
Diffusion Models
2023 – Present
Text-to-image generative models
2023 – Present
Natural Language Processing
2022 – Present
Tabular Deep Learning
2021 – Present
AI Explainability
2020 – Present