• 08:00

    WELCOME & OPENING REMARKS

  • GANs FOUNDATIONS

  • 08:10

    New Optimization Perspectives on Generative Adversarial Networks

  • TOOLS & TECHNIQUES

  • 08:30

    Personalized Generative Models

  • 08:50

    Data Augmentation — Aiming to Reduce the Need for Labeled Data

  • 09:10

    Super Resolution GANs

  • 09:30

    COFFEE BREAK

  • APPLICATIONS OF GANS

  • 10:15

    Enabling World Models via Unsupervised Representation Learning of Environments

  • 10:35

    Do Deep Generative Models Know What They Don't Know

  • 10:55

    PANEL: What Are the Key Obstacles Preventing the Progression and Application of GANs?

  • 11:30

    NETWORKING & DISCUSSION

  • THIS SCHEDULE TAKES PLACE ON DAY 1

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