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Seminar: Interpretable Deep Generative Models

Pinar Yanardag

Principal Investigator, CATLAB
Bogazici University, Instanbul Turkey

Thursday, March 2, 2023
4:00 PM
1100 Torgersen Hall


Deep generative models have made significant progress in a variety of real-world applications. However, these models are often interpreted as black-boxes without the ability to understand what knowledge they learn in their latent representations. Before we can widely deploy deep generative models in high-stakes tasks such as self-driving cars or medical diagnosis, we need to understand the decision-making process of these models. This is an important research question with many practical implications, such as 1) explaining what knowledge generative models learn and what kind of controls they provide (ICCV’21, WACV’22), 2) enabling new forms of creativity and foster human-AI collaboration (WACV’23, NeurIPS WS’22, CVPR WS’22, ACM CC’22), 3) creating fairer and more transparent models (ECCV’22). In this presentation, I will discuss our recent work on interpretable generative models at CATLAB. Additionally, I will highlight how these models facilitate creative content generation and human-AI collaborated designs as part of the How to Generate (Almost) Anything project. Lastly, I will touch on our efforts to address fairness and bias in generative models and share future work.


Pinar Yanardag Delul received her PhD in Computer Science from Purdue and completed her postdoctoral research at MIT Media Lab. She is currently a principal investigator at Bogazici University, Istanbul, Turkey, where she leads CATLAB. Her research interests are in the area of generative adversarial networks (GANs) and developing deep learning approaches to enable creativity and human-AI collaboration. Her research has been published at conferences such as NeurIPS, ICCV, and KDD, and featured in mainstream media (e.g., The Washington Post, BBC, CNN) and magazines (e.g., Motherboard, Rolling Stone). She is also CEO of AI Fiction, a creative design studio focused on the entertainment industry, for which she received a Creative Director nomination at the 72nd Primetime Emmy Awards for her work on the Westworld TV series. During her studies, she was supported by Fulbright Fellowship, and Google Anita Borg Scholarship.