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80 Results
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Poster
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Wed 1:00 |
Gradient Origin Networks Sam Bond-Taylor · Chris G Willcocks |
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Poster
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Tue 9:00 |
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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Thu 9:00 |
Improving VAEs' Robustness to Adversarial Attack Matthew Willetts · Alexander Camuto · Tom Rainforth · S Roberts · Christopher Holmes |
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Poster
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Wed 17:00 |
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng · Jiaming Song · Yang Song · Shengjia Zhao · Stefano Ermon |
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Workshop
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Fri 12:32 |
Invited Talk Live: Generative Modeling by Estimating Gradients of the Data Distribution (Live Q/A at the end) Stefano Ermon |
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Poster
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Thu 17:00 |
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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Wed 17:00 |
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology Sharon Zhou · Eric Zelikman · Fred Lu · Andrew Ng · Gunnar E Carlsson · Stefano Ermon |
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Spotlight
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Thu 21:28 |
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 1:00 |
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer · Maximilian Soelch · Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt |
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Poster
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Wed 1:00 |
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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Wed 17:00 |
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong · Wei Ping · Jiaji Huang · Kexin Zhao · Bryan Catanzaro |
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Poster
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Tue 17:00 |
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville |