Autumn 2022 STAT 37792

Course: STAT 37792

Title:  Topics in Deep Learning: Generative Models

Instructor(s): Yali Amit

Teaching Assistant(s): TBA

Class Schedule: Sec 1: MW 12:00 PM-1:20 PM in Jones 226

Description: This course will be a hands on exploration of various approaches to generative modeling with deep networks. Topics include variational auto encoders, flow models, GAN models, and energy models. Participation in this course requires familiarity with pytorch and a strong background in statistical modeling. The course will primarily consist of paper presentations. Each presenter would be required to report on experiments performed with the algorithm proposed in the paper, exploring strengths and weaknesses of the methods.