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Poster
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Wed 18:30
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Learning Neurosymbolic Generative Models via Program Synthesis
Halley R Young · Osbert Bastani · Mayur Naik
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Poster
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Wed 18:30
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Random Function Priors for Correlation Modeling
Aonan Zhang · John Paisley
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Poster
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Wed 18:30
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Are Generative Classifiers More Robust to Adversarial Attacks?
Yingzhen Li · John Bradshaw · Yash Sharma
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Poster
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Wed 18:30
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Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation
Jinyang Yuan · Bin Li · Xiangyang Xue
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Poster
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Thu 18:30
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Variational Laplace Autoencoders
Yookoon Park · Chris Kim · Gunhee Kim
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Poster
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Wed 18:30
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Sum-of-Squares Polynomial Flow
Priyank Jaini · Kira A. Selby · Yaoliang Yu
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Poster
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Tue 18:30
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Flat Metric Minimization with Applications in Generative Modeling
Thomas Möllenhoff · Daniel Cremers
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Poster
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Thu 18:30
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Adaptive Antithetic Sampling for Variance Reduction
Hongyu Ren · Shengjia Zhao · Stefano Ermon
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Oral
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Thu 10:10
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MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
Pierre-Alexandre Mattei · Jes Frellsen
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Poster
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Wed 18:30
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Hierarchical Decompositional Mixtures of Variational Autoencoders
Ping Liang Tan · Robert Peharz
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Poster
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Thu 18:30
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Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong · Hyun Oh Song
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Poster
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Tue 18:30
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Amortized Monte Carlo Integration
Adam Golinski · Frank Wood · Tom Rainforth
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