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Oral
Thu Jun 13 09:00 AM -- 09:20 AM (PDT) @ Hall A
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb · Jonathan Binas · Anirudh Goyal · Sandeep Subramanian · Ioannis Mitliagkas · Yoshua Bengio · Michael Mozer
[ Slides
Oral
Thu Jun 13 09:20 AM -- 09:25 AM (PDT) @ Hall A
Variational Laplace Autoencoders
Yookoon Park · Chris Kim · Gunhee Kim
[ Slides
Oral
Thu Jun 13 09:25 AM -- 09:30 AM (PDT) @ Hall A
Latent Normalizing Flows for Discrete Sequences
Zachary Ziegler · Alexander Rush
[ Slides
Oral
Thu Jun 13 09:30 AM -- 09:35 AM (PDT) @ Hall A
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque · Joao Monteiro · Thang Doan · Breandan Considine · Tiago Falk · Ioannis Mitliagkas
[ Slides
Oral
Thu Jun 13 09:35 AM -- 09:40 AM (PDT) @ Hall A
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong · Hyun Oh Song
[ Slides
Oral
Thu Jun 13 09:40 AM -- 10:00 AM (PDT) @ Hall A
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
Friso Kingma · Pieter Abbeel · Jonathan Ho
Oral
Thu Jun 13 10:00 AM -- 10:05 AM (PDT) @ Hall A
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover · Aaron Zweig · Stefano Ermon
[ Slides
Oral
Thu Jun 13 10:05 AM -- 10:10 AM (PDT) @ Hall A
Hybrid Models with Deep and Invertible Features
Eric Nalisnick · Akihiro Matsukawa · Yee-Whye Teh · Dilan Gorur · Balaji Lakshminarayanan
[ Slides
Oral
Thu Jun 13 10:10 AM -- 10:15 AM (PDT) @ Hall A
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
Pierre-Alexandre Mattei · Jes Frellsen
[ Slides
Oral
Thu Jun 13 10:15 AM -- 10:20 AM (PDT) @ Hall A
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie · Minshuo Chen · Haoming Jiang · Tuo Zhao · Hongyuan Zha
[ Slides