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Ben Poole
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Non-saturating GAN training as divergence minimization


Oct 15, 2020
Matt Shannon, Ben Poole, Soroosh Mariooryad, Tom Bagby, Eric Battenberg, David Kao, Daisy Stanton, RJ Skerry-Ryan

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Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves


Sep 23, 2020
Luke Metz, Niru Maheswaranathan, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein

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What makes for good views for contrastive learning


May 20, 2020
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola

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* submitted to ECCV 2020 
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Using a thousand optimization tasks to learn hyperparameter search strategies


Mar 11, 2020
Luke Metz, Niru Maheswaranathan, Ruoxi Sun, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein

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Regularized Autoencoders via Relaxed Injective Probability Flow


Feb 20, 2020
Abhishek Kumar, Ben Poole, Kevin Murphy

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* AISTATS 2020 
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On Implicit Regularization in $β$-VAEs


Feb 09, 2020
Abhishek Kumar, Ben Poole

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Weakly-Supervised Disentanglement Without Compromises


Feb 07, 2020
Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen

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Weakly Supervised Disentanglement with Guarantees


Oct 22, 2019
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole

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