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Workshop
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Fri 10:51
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"Bias and Generalization of Deep Generative Models" by Stefano Ermon, Stanford University
Stefano Ermon
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Poster
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Thu 9:00
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Improving VAEs' Robustness to Adversarial Attack
Matthew Willetts · Alexander Camuto · Tom Rainforth · S Roberts · Christopher Holmes
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Workshop
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Fri 6:14
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Density Approximation in Deep Generative Models with Kernel Transfer Operators
Zhichun Huang
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Spotlight
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Thu 21:28
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Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
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Poster
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Thu 17:00
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Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
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Poster
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Tue 9:00
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Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird · Friso Kingma · David Barber
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Poster
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Wed 1:00
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Gradient Origin Networks
Sam Bond-Taylor · Chris G Willcocks
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Poster
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Tue 1:00
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Capturing Label Characteristics in VAEs
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth
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Workshop
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Fri 12:58
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CIGMO: Learning categorical invariant deep generative models from grouped data
Haruo Hosoya
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Workshop
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Fri 15:10
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On Linear Interpolation in the Latent Space of Deep Generative Models
Mike Yan Michelis · Quentin Becker
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Poster
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Wed 1:00
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Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi · Brooks Paige · Philip Torr · Siddharth N
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Poster
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Mon 17:00
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Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
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