Waterloo.ai Seminar: Roger Melko on Designing a quantum computer with generative models
Please join us for the next institute seminar on Friday, January 10 at 10:30am in DC 1302.
Please join us for the next institute seminar on Friday, January 10 at 10:30am in DC 1302.
Please join us for the next institute seminar on Friday, January 17 at 10:30am in DC 1302.
THIS EVENT HAS BEEN CANCELLED
Please join us for the next institute seminar on Wednesday, February 26 at 1:30pm in DC 1302.
Title: Noise Flow: Noise Modeling with Conditional Normalizing Flows
Please join us for the next institute seminar on Friday, March 13 at 10:30am in DC 1302.
Title: Fair Reward Division
Abstract:
Axiomatic approaches are an appealing method for designing fair algorithms, as they provide a formal structure for reasoning about and rationalizing individual decisions. However, to make these algorithms useful in practice, their axioms must appropriately capture social norms.
Please join us for the next institute seminar on Friday, March 20 at 2:30pm in DC 1302.
Title: Computational Rhetoric and Neural Networks in Abusive Language Detection
Abstract: TBD
Speaker Bio:
Please join us for the next institute seminar on Tuesday, March 31 at 1:30pm in DC 1302.
Title: Algorithmic Fairness and the Law
Abstract:
Please join us for the next institute seminar on Friday, April 17 at 10:30am in DC 1302.
Title: Motion intelligence for human-centered robots: humanoids, exoskeletons and assistive devices
Abstract: TBD
Speaker Bio:
A renowned international expert in human-centred robotics will join Waterloo Engineering in March of 2020 to lead a major research program.
Please join us for the next institute seminar on Friday, May 1 at 10:30am in DC 1302.
Title: Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation
Abstract: Conditional Generative Adversarial Networks (cGANs) are finding increasingly widespread use in many application domains, most notably text-to-image synthesis. In this talk, I will address two outstanding limitations of this paradigm.
Abstract:
Speaker: Prof. Matthew E. Taylor
Abstract: