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Poster
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Tue 9:00 |
DINO: A Conditional Energy-Based GAN for Domain Translation Konstantinos Vougioukas · Stavros Petridis · Maja Pantic |
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Oral
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Mon 4:15 |
A Distributional Approach to Controlled Text Generation Muhammad Khalifa · Hady Elsahar · Marc Dymetman |
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Poster
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Thu 17:00 |
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling Yang Zhao · Jianwen Xie · Ping Li |
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Poster
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Mon 17:00 |
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao · Yang Song · Ben Poole · Yingnian Wu · Durk Kingma |
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Poster
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Tue 9:00 |
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao · Karsten Kreis · Jan Kautz · Arash Vahdat |
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Workshop
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Fri 5:50 |
Energy-Based Models: Current Perspectives, Challenges, and Opportunities Marc Dymetman · Adji Bousso Dieng · Hady Elsahar · Igor Mordatch · Marc'Aurelio Ranzato |
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Poster
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Thu 17:00 |
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl · Jacob Kelly · Milad Hashemi · Mohammad Norouzi · Kevin Swersky · David Duvenaud |
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Poster
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Tue 1:00 |
A Distributional Approach to Controlled Text Generation Muhammad Khalifa · Hady Elsahar · Marc Dymetman |
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Poster
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Thu 1:00 |
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu · Shitong Luo · Yoshua Bengio · Jian Peng · Jian Tang |
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Poster
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Thu 17:00 |
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models Mitchell Hill · Jonathan Mitchell · Song-Chun Zhu |
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Spotlight
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Wed 13:28 |
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao · Karsten Kreis · Jan Kautz · Arash Vahdat |
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Workshop
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Fri 6:00 |
Invited Talk Live: The energy-based view of self-supervised learning |