Representations Lab
Welcome to the Representations Lab at the University of Alberta. We study how computer models (typically backed by Deep Neural Networks, DNNs) learn to represent their input data, and how those representations are (or are not) similar to the way the brain represents the same inputs. We study language primarily, but have explored similar ideas for visual processing.
For more information, see Dr. Fyshe's personal page, or her Google Scholar page.
If you're interested in joining the lab, see this page.
Current Members
Students
Rohan Saha (MSc, PhD Computing Science)
Saeed Najafi (PhD Computing Science)
Linsage (Sijie) Ling (MSc, PhD Psychology)
Varshini Prakash (MSc Computing Science)
Spencer von der Ohe (MSc, Computing Science)
Daniela Teodorescu (MSc, Computing Science)
Cory Efird (MSc, Computing Science)
Post Docs
Brea Chouinard
Richard Gerum
Alex Murphy
Tom Ferguson
Undergrads / RAs
Sydney Dickner
Grace Zhu
Jake Hennig
Melih Keskin
Parham Golestaneh Talaei
Soumyadeep Pal
Past Members
Natalie Hanas (BSc, Psychology)
Alessandra Crerar (BSc, Psychology)
Bilal Ghanem (PostDoc)
Dhruv Mullick (MSc Computing Science)
Dawn McKnight (MSc Computing Science)
Mitchell Holmes (Ugrad)
Liam Peet-Pare (MSc, Statistical Machine learning) (Co-supervised with Nidhi Hegde)
Cassidy Pirlot (MSc, Statistical Machine Learning)
Archit Sakhedo (MSc Computing Science) (Co-supervised with Adam White)
Marayam Hashemzadeh (MSc Computing Science) (Co-supervised with Martha White)
Jeong Ung Song (BSc, Psychology)
Qingfeng Lan (MSc Computing Science)
Maryam Honari-Jahromi (MSc Computing Science, University of Victoria)
Cole Peterson (MSc Computing Science, University of Victoria)
Chris Foster (MSc Computing Science, University of Victoria)
Dhanush Dharmaretnam (MSc Computing Science, University of Victoria)