Balázs Kégl (Preferred)
, Balazs Kegl
Balázs Kégl
Huawei France
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.
****@gmail.com
, ****@huawei.com
Personal Links
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Education & Career History
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Head of AI research
Huawei France (huawei.com)
2019 – Present
Full Professor
CNRS (on leave) (in2p3.fr)
2011 – Present
Advisors, Relations & Conflicts
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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