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13 Results

Poster
Mon 1:00 Set Prediction without Imposing Structure as Conditional Density Estimation
David W Zhang, Gertjan J Burghouts, Cees G Snoek
Oral
Mon 4:15 A Distributional Approach to Controlled Text Generation
Muhammad Khalifa, Hady Elsahar, Marc Dymetman
Poster
Mon 17:00 Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao, Yang Song, Ben Poole, Yingnian Wu, Durk Kingma
Poster
Tue 1:00 A Distributional Approach to Controlled Text Generation
Muhammad Khalifa, Hady Elsahar, Marc Dymetman
Poster
Tue 9:00 VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
Spotlight
Wed 13:28 VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
Poster
Thu 1:00 Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
Poster
Thu 17:00 Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
Yang Zhao, Jianwen Xie, Ping Li
Poster
Thu 17:00 Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Mitch Hill, Jonathan Mitchell, Song-Chun Zhu
Poster
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
Workshop
Fri 5:50 Energy-Based Models: Current Perspectives, Challenges, and Opportunities
Marc Dymetman, Adji Bousso Dieng, Hady Elsahar, Igor Mordatch, Marc'Aurelio Ranzato
Workshop
Fri 9:30 Contributed Talk: Conjugate EBMs
Hao Wu
Workshop
Fri 15:30 Contributed Talk: EBMs for Continual Learning
Shuang Li