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Poster
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Riashat Islam · Hongyu Zang · Anirudh Goyal · Alex Lamb · Kenji Kawaguchi · Xin Li · Romain Laroche · Yoshua Bengio · Remi Tachet des Combes
Workshop
Identifying Compound Climate Drivers of Forest Mortality with β-VAE
Mohit Anand · Lily-belle Sweet · Gustau Camps-Valls · Jakob Zscheischler
Poster
Tue 14:00 Posterior Collapse of a Linear Latent Variable Model
Zihao Wang · Liu Ziyin
Poster
Thu 9:00 Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang · Polina Kirichenko · Micah Goldblum · Andrew Wilson
Poster
Thu 9:00 Can Push-forward Generative Models Fit Multimodal Distributions?
Antoine Salmona · Valentin De Bortoli · Julie Delon · Agnes Desolneux
Poster
Thu 14:00 Generalization Gap in Amortized Inference
Mingtian Zhang · Peter Hayes · David Barber
Poster
Tue 9:00 Gradient Estimation with Discrete Stein Operators
Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey
Poster
Thu 14:00 Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina · Max Welling · Jakub Tomczak
Poster
Tue 14:00 Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE
Yewen Li · Chaojie Wang · Xiaobo Xia · Tongliang Liu · xin miao · Bo An
Poster
Wed 9:00 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Djordje Miladinovic · Kumar Shridhar · Kushal Jain · Max Paulus · Joachim M Buhmann · Carl Allen
Poster
Tue 14:00 Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger · Luigi Gresele · Jack Brady · Julius von Kügelgen · Dominik Zietlow · Bernhard Schölkopf · Georg Martius · Wieland Brendel · Michel Besserve
Poster
Tue 9:00 Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri · Tristan Bepler