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Poster
Tue 13:00 Predictive Sampling with Forecasting Autoregressive Models
Auke Wiggers · Emiel Hoogeboom
Poster
Tue 9:00 Source Separation with Deep Generative Priors
Vivek Jayaram · John Thickstun
Poster
Thu 6:00 Robustifying Sequential Neural Processes
Jaesik Yoon · Gautam Singh · Sungjin Ahn
Poster
Thu 7:00 Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov · Polina Kirichenko · Marc Finzi · Andrew Wilson
Poster
Thu 7:00 Multi-Objective Molecule Generation using Interpretable Substructures
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Wed 10:00 Hypernetwork approach to generating point clouds
Przemys┼éaw Spurek · Sebastian Winczowski · Jacek Tabor · Maciej Zamorski · Maciej Zieba · Tomasz Trzcinski
Poster
Tue 9:00 A Chance-Constrained Generative Framework for Sequence Optimization
Xianggen Liu · Qiang Liu · Sen Song · Jian Peng
Poster
Tue 8:00 Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
Yibo Jiang · Cengiz Pehlevan
Poster
Tue 7:00 Generative Flows with Matrix Exponential
Changyi Xiao · Ligang Liu
Poster
Wed 5:00 Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Thu 7:00 Perceptual Generative Autoencoders
Zijun Zhang · Ruixiang ZHANG · Zongpeng Li · Yoshua Bengio · Liam Paull
Poster
Wed 12:00 Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Qi Wang · Herke van Hoof