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Poster
Tue 14:00 On the Privacy Properties of GAN-generated Samples
Zinan Lin · Vyas Sekar · Giulia Fanti
Poster
Tue 14:00 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Yu Gong · Hossein Hajimirsadeghi · Jiawei He · Thibaut Durand · Greg Mori
Poster
Tue 18:30 Independent Innovation Analysis for Nonlinear Vector Autoregressive Process
Hiroshi Morioka · Hermanni Hälvä · Aapo Hyvarinen
Poster
Tue 18:30 GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding · Constantinos Daskalakis · Soheil Feizi
Poster
Wed 6:00 Deep Generative Missingness Pattern-Set Mixture Models
Sahra Ghalebikesabi · Rob Cornish · Chris Holmes · Luke Kelly
Poster
Wed 6:00 Learning Bijective Feature Maps for Linear ICA
Alexander Camuto · Matthew Willetts · Chris Holmes · Brooks Paige · Stephen Roberts
Poster
Wed 6:00 Scalable Gaussian Process Variational Autoencoders
Metod Jazbec · Matt Ashman · Vincent Fortuin · Michael Pearce · Stephan Mandt · Gunnar Rätsch
Poster
Wed 6:00 Fisher Auto-Encoders
Khalil Elkhalil · Ali Hasan · Jie Ding · Sina Farsiu · Vahid Tarokh
Poster
Wed 12:45 Automatic Differentiation Variational Inference with Mixtures
Warren Morningstar · Sharad Vikram · Cusuh Ham · Andrew Gallagher · Joshua Dillon
Poster
Wed 12:45 Rate-Regularization and Generalization in Variational Autoencoders
Alican Bozkurt · Babak Esmaeili · Jean-Baptiste Tristan · Dana Brooks · Jennifer Dy · Jan-Willem van de Meent
Poster
Thu 7:30 Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth
Poster
Thu 7:30 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Qipeng Guo · Zhijing Jin · Ziyu Wang · Xipeng Qiu · Weinan Zhang · Jun Zhu · Zheng Zhang · Wipf David