Mathieu Tuli (Preferred)
Mathieu Tuli
LG Electronics Canada Incorporated, TAIL
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.toronto.edu
, ****@lge.com
, ****@gmail.com
Personal Links
Add links to your profiles on other sites. (Optional)
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
LG Electronics Canada Incorporated, TAIL (lge.com)
2022 – Present
MS student
Department of Computer Science, University of Toronto (cs.toronto.edu)
2020 – 2022
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
MSc Advisor
Sheila McIlraith
****@cs.toronto.edu
2020 – 2022
MSc Advisor
Scott Sanner
****@mie.utoronto.ca
2020 – 2022
Coauthor
Mahdi Hosseini
****@utoronto.ca
2020 – 2022
Coauthor
Andrew C Li
****@cs.toronto.edu
2020 – 2022
Coauthor
Toryn Q. Klassen
****@cs.toronto.edu
2020 – 2022
Coauthor
Pashootan Vaezipoor
****@cs.toronto.edu
2020 – 2022
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
computer vision, diffusion, 3d object generation, texture generation, speech-driven 3d facial animation, deep learning, GANs
2022 – Present
deep learning optimization, knowledge reasoning and representation, epistemics, theory of mind, explainability, natural language processing
2020 – 2022
computer vision, object detection, object segmentation, deep learning optimization, deep learning, machine learning
2018 – 2020