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Search All 2021 Events
Results
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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
Spotlight
Thu 21:28
Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
Poster
Thu 17:00
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
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