Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
Publications
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Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
Proceedings to the Neural Information Processing Systems conference | November 2017
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Adversarial Variational Bayes
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
International Conference on Machine Learning (ICML) | August 2017
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The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
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DISCO Nets: DISsimilarity COefficient Networks
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
Neural Information Processing Systems 2016 | December 2016
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f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, Ryota Tomioka
Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
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Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
-
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
Proceedings to the Neural Information Processing Systems conference | November 2017
-
Adversarial Variational Bayes
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
International Conference on Machine Learning (ICML) | August 2017
-
DISCO Nets: DISsimilarity COefficient Networks
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
Neural Information Processing Systems 2016 | December 2016
-
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, Ryota Tomioka
Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
-
-
-
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
Proceedings to the Neural Information Processing Systems conference | November 2017
-
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
-
-
-
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
AAAI 2018 | February 2018
-
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann
Proceedings to the Neural Information Processing Systems conference | November 2017
-
Adversarial Variational Bayes
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
International Conference on Machine Learning (ICML) | August 2017
-
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Advances in Neural Information Processing Systems 30 (NIPS 2017) | May 2017
-
DISCO Nets: DISsimilarity COefficient Networks
Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
Neural Information Processing Systems 2016 | December 2016
-
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin, Botond Cseke, Ryota Tomioka
Advances in Neural Information Processing Systems 29 (NIPS 2016) | October 2016
-
People
Ryota Tomioka
Senior Principal Research Manager
Katja Hofmann
Partner Research Manager