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Poster
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Mon 17:00
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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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Thu 17:00
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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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Workshop
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Fri 7:02
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Invited Talk: EBM inference & learning: A personal story
Yingzhen Li
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Workshop
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Fri 15:00
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Contributed Talk: Graph EBMs for Molecular Graph Generation
Ryuichiro Hataya
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Workshop
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Fri 9:00
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Contributed Talk: Improved Contrastive Divergence Training of EBMs
Yilun Du
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Workshop
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Fri 15:30
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Contributed Talk: EBMs for Continual Learning
Shuang Li
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Workshop
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Fri 9:30
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Contributed Talk: Conjugate EBMs
Hao Wu
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Workshop
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Fri 8:00
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Panel: Yann LeCun, Yingzhen Li, Will Grathwohl --- Focus: Probabilistic vs. Non-Probabilistic Approaches to EBMs
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Workshop
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Fri 13:02
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Invited Talk Live: Can EBMs help solve important biological challenges? (Live Q/A at the end)
Debora Marks
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