PhD Seminar • Artificial Intelligence — Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Priyank Jaini, PhD candidate
David R. Cheriton School of Computer Science
Priyank Jaini, PhD candidate
David R. Cheriton School of Computer Science
Stephen Askew, Master’s candidate
David R. Cheriton School of Computer Science
Edward Zulkoski, PhD candidate
David R. Cheriton School of Computer Science
The David R. Cheriton School of Computer Science is pleased to announce the inaugural Wes Graham Research Symposium & Computer Science Awards reception. The symposium takes its name from James Wesley (Wes) Graham, a humble visionary known as the father of computing at the University of Waterloo and an academic who devoted his career to making the magic of computers available to everyone.
Michael Cormier, PhD candidate
David R. Cheriton School of Computer Science
Matei Ripeanu, Department of Electrical and Computer Engineering
University of British Columbia
Dates | Times |
---|---|
Friday, June 22, 2018 | 5:30 p.m. to 8:30 p.m. |
Saturday, June 23, 2018 | 10:00 a.m. to 5:00 p.m. |
Sunday, June 24, 2018 | 10:00 a.m. |
Abdullah Rashwan, PhD candidate
David R. Cheriton School of Computer Science
Sum-product networks have recently emerged as an attractive representation due to their dual view as a special type of deep neural network with clear semantics and a special type of probabilistic graphical model for which inference is always tractable. Those properties follow from some conditions (i.e., completeness and decomposability) that must be respected by the structure of the network.
Cecylia Bocovich, PhD candidate
David R. Cheriton School of Computer Science
Circumventing state firewalls! Détournement! Doctor Who references! Now with higher bandwidth!
Michael Cormier, PhD candidate
David R. Cheriton School of Computer Science