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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 GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding · Constantinos Daskalakis · Soheil Feizi
Poster
Tue 18:30 Independent Innovation Analysis for Nonlinear Vector Autoregressive Process
Hiroshi Morioka · Hermanni Hälvä · Aapo Hyvarinen
Poster
Wed 6:00 Fisher Auto-Encoders
Khalil Elkhalil · Ali Hasan · Jie Ding · Sina Farsiu · Vahid Tarokh
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 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 Longitudinal Variational Autoencoder
Siddharth Ramchandran · Gleb Tikhonov · Kalle Kujanpää · Miika Koskinen · Harri Lähdesmäki
Poster
Thu 7:30 Variational Autoencoder with Learned Latent Structure
Marissa Connor · Gregory Canal · Christopher Rozell