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Poster
Tue 18:00 Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
Keizo Kato · Jing Zhou · Tomotake Sasaki · Akira Nakagawa
Poster
Tue 9:00 Scalable Deep Generative Modeling for Sparse Graphs
Hanjun Dai · Azade Nova · Yujia Li · Bo Dai · Dale Schuurmans
Poster
Wed 10:00 Hypernetwork approach to generating point clouds
Przemys┼éaw Spurek · Sebastian Winczowski · Jacek Tabor · Maciej Zamorski · Maciej Zieba · Tomasz Trzcinski
Poster
Wed 5:00 Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Thu 12:00 Learning Flat Latent Manifolds with VAEs
Nutan Chen · Alexej Klushyn · Francesco Ferroni · Justin Bayer · Patrick van der Smagt
Poster
Thu 7:00 Perceptual Generative Autoencoders
Zijun Zhang · Ruixiang ZHANG · Zongpeng Li · Yoshua Bengio · Liam Paull
Poster
Thu 13:00 Latent Bernoulli Autoencoder
Jiri Fajtl · Vasileios Argyriou · Dorothy Monekosso · Paolo Remagnino
Poster
Thu 17:00 Learning Autoencoders with Relational Regularization
Hongteng Xu · Dixin Luo · Ricardo Henao · Svati Shah · Lawrence Carin
Poster
Thu 14:00 Forecasting Sequential Data Using Consistent Koopman Autoencoders
Omri Azencot · N. Benjamin Erichson · Vanessa Lin · Michael Mahoney
Poster
Thu 15:00 Reliable Fidelity and Diversity Metrics for Generative Models
Muhammad Ferjad Naeem · Seong Joon Oh · Yunjey Choi · Youngjung Uh · Jaejun Yoo
Poster
Thu 7:00 Distribution Augmentation for Generative Modeling
Heewoo Jun · Rewon Child · Mark Chen · John Schulman · Aditya Ramesh · Alec Radford · Ilya Sutskever
Poster
Wed 8:00 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai · Ziyu Wang · David Wipf