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Poster
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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 |
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Workshop
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Identifying Compound Climate Drivers of Forest Mortality with β-VAE Mohit Anand · Lily-belle Sweet · Gustau Camps-Valls · Jakob Zscheischler |
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Workshop
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Sat 8:50 |
Kendall Shape-VAE : Learning Shapes in a Generative Framework Sharvaree Vadgama · Jakub Tomczak · Erik Bekkers |
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Workshop
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CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs Eloy Geenjaar · Noah Lewis · Amrit Kashyap · Robyn Miller · Vince Calhoun |
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Workshop
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Improving Molecule Properties Through 2-Stage VAE Chenghui Zhou · Barnabas Poczos |
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Poster
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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 |
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Poster
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Tue 9:00 |
Sparse Fourier Backpropagation in Cryo-EM Reconstruction Dari Kimanius · Kiarash Jamali · Sjors Scheres |
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Poster
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Thu 9:00 |
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang · Polina Kirichenko · Micah Goldblum · Andrew Wilson |
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Poster
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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 |
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Poster
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Tue 9:00 |
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE Alireza Nasiri · Tristan Bepler |
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Poster
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Thu 14:00 |
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina · Max Welling · Jakub Tomczak |
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Poster
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Thu 9:00 |
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona · Valentin De Bortoli · Julie Delon · Agnes Desolneux |