Tegan Maharaj

45 total papers · 3.3k total citations
9 papers, 304 citations indexed

Tegan Maharaj is a scholar working on Artificial Intelligence, Safety Research and Information Systems. According to data from OpenAlex, Tegan Maharaj has authored 9 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Safety Research and 1 paper in Information Systems. Recurrent topics in Tegan Maharaj’s work include Stochastic Gradient Optimization Techniques (2 papers), Ethics and Social Impacts of AI (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Tegan Maharaj is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Ethics and Social Impacts of AI (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Tegan Maharaj collaborates with scholars based in Canada, Germany and United States. Tegan Maharaj's co-authors include Nicolas Ballas, Aaron Courville, David Krueger, Maxinder S Kanwal, Devansh Arpit, Emmanuel Bengio, Stanisław Jastrzȩbski, Asja Fischer, Yoshua Bengio and Simon Lacoste-Julien and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and arXiv (Cornell University).