Workshop

Fri 10:51

"Bias and Generalization of Deep Generative Models" by Stefano Ermon, Stanford University
Stefano Ermon

Poster

Thu 9:00

Improving VAEs' Robustness to Adversarial Attack
Matthew Willetts · Alexander Camuto · Tom Rainforth · S Roberts · Christopher Holmes

Workshop

Fri 6:14

Density Approximation in Deep Generative Models with Kernel Transfer Operators
Zhichun Huang

Poster

Thu 17:00

Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui

Spotlight

Thu 21:28

Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui

Poster

Tue 9:00

Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird · Friso Kingma · David Barber

Poster

Wed 1:00

Gradient Origin Networks
Sam Bond-Taylor · Chris G Willcocks

Poster

Tue 1:00

Capturing Label Characteristics in VAEs
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth

Workshop

Fri 12:58

CIGMO: Learning categorical invariant deep generative models from grouped data
Haruo Hosoya

Workshop

Fri 15:10

On Linear Interpolation in the Latent Space of Deep Generative Models
Mike Yan Michelis · Quentin Becker

Poster

Wed 1:00

Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi · Brooks Paige · Philip Torr · Siddharth N

Spotlight

Mon 12:55

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child